Data Modeler

AI Lead

Data Engineer

Field Sales Executive

PwD Specialist

Tech Lead Power BI

Financial Analyst ASC

Data Engineer Lead - Python and PySpark

Data Engineer / Senior / Supervisor

Responsibilities: <ul><li>Responsible for designing and implementing data modeling solutions using relational, dimensional, and NoSQL databases.&nbsp;</li><li>Working closely with data architects, to develop bespoke databases utilizing a mixture of conceptual, physical, and logical models</li><li>Implement best practices for data modeling, including normalization and de-normalization techniques.</li><li>Collaborate with cross-functional teams to understand data requirements and translate them into effective data models.</li><li>Perform data profiling and analysis to ensure data quality and integrity.</li><li>Optimize data models for performance and scalability.</li><li>Maintain and enhance existing data models to accommodate new data sources and business requirements.</li><li>Document data architecture, data dictionaries, and metadata standards.</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Systems, or a related field.</li><li>3-4 years of experience in data modeling roles, preferably in designing data warehouses.</li><li>Strong understanding of relational database concepts and experience with SQL.</li><li>Experience with data modeling tools (e.g., Erwin, ER/Studio, PowerDesigners).</li><li>Knowledge of normalized, de-normalized and dimensional data modeling techniques.</li><li>Familiarity with the travel industry or retail sector and related data structures is a plus.</li><li>Ability to communicate effectively with technical and non-technical stakeholders.</li><li>Strong analytical and problem-solving skills.</li></ul>

Responsibilities: AI Solution Development:&nbsp; <ul><li>Ability to translate business problems to AI problem statement, Ability to evaluate the need of AI &amp; optimal use of AI. Design and develop Gen AI applications and AI algorithms to address complex challenges across various domains.</li></ul> Data Analysis and Interpretation:&nbsp; <ul><li>Analyze large datasets to derive actionable insights and make data-driven decisions.</li></ul> Model Training and Optimization:&nbsp; <ul><li>Finetune LLM Models with custom data, continuously improve model performance through rigorous training and optimization processes.</li></ul> Collaborative Problem-Solving:&nbsp; <ul><li>Work closely with cross-functional teams to solve pressing challenges and enhance product capabilities.</li></ul> Strategic AI Implementation:&nbsp; <ul><li>Architect and scale AI solutions across the organization, ensuring alignment with business objectives.</li></ul> Leadership and Team Development:&nbsp; <ul><li>Mentor and lead a team of AI professionals, fostering a culture of innovation and continuous learning.</li></ul> Requirements: Educational Background:&nbsp; <ul><li>Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.</li></ul> Technical Proficiency:&nbsp; <ul><li>Strong experience in programming languages like Python, Java, or C++ and familiarity with AI frameworks such as TensorFlow or PyTorch.</li></ul> Experience:&nbsp; <ul><li>At least 8-10 years of relevant experience in developing and implementing AI solutions.</li></ul> Analytical Skills:&nbsp; <ul><li>Proficient in using advanced data analytics tools and techniques to interpret complex datasets.</li></ul> Problem-Solving Abilities:&nbsp; <ul><li>Excellent problem-solving skills to devise innovative solutions and optimize AI algorithms.</li><li>&nbsp;Advanced Degree: Masters degree in a relevant field.</li><li>Specialized Knowledge: Deep understanding in NLP techniques, supervised and unsupervised machine learning, statistical modeling, and predictive analytics.</li><li>Industry Experience: Prior experience in the airline industry, particularly in roles focused on customer experience or digital transformation.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Previous work experience or personal experience in integrating LLMs into production applications or building LLM powered applications using LangChain or other frameworks.</li><li>Leadership Experience: Proven track record of successfully leading AI projects and teams, ability to work across teams – cross functional , knowledge of agile delivery</li><li>Continuous Learning: Commitment to staying updated with the latest advancements in AI and machine learning."</li></ul>

Responsibilities: <ul><li>Design and implement scalable data pipelines and data warehouse solutions using Informatica PowerCenter.</li><li>Develop ETL processes to ingest data from various sources into the data warehouse.</li><li>Optimize and tune SQL queries for performance improvements.</li><li>Collaborate with cross-functional teams (e.g., Data Scientists, Analysts, Software Engineers) to understand data requirements and deliver solutions.</li><li>Ability to understand and integrate data sources based on different technologies like Streaming Data, Change Data Capture, APIs , Message Queues, Semi-structured(JSON,XML) and unstructured data.</li><li>Analyze raw data to determine optimal solutions for data processing and ingestions</li><li>Implement data quality and validation processes to ensure high data integrity and reliability.</li><li>Monitor and troubleshoot data pipeline issues and implement solutions in a timely manner.</li><li>Document technical designs, data mappings, and configuration management processes.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field.</li><li>3-4 years of hands-on experience in data engineering roles.</li><li>Proficiency in Informatica Informatica IICS (ECDI, CDI CAI, Mass Ingestion etc) for designing and developing ETL workflows.</li><li>Strong SQL programming skills with experience in optimizing queries and database performance.</li><li>Experience working with large-scale data warehousing and data modeling concepts.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.</li><li>Excellent problem-solving skills and ability to work independently as well as part of a team.</li><li>Strong communication skills and ability to collaborate effectively across teams.</li></ul>

Due to rapid growth, they are expanding its account management team with a new position focused on the pharmaceutical industry. This role involves selling our industry-leading Environmental, Health &amp; Safety, and operational excellence software platform to both new and existing clients in the European pharma sector. The primary focus will be on the top 100 pharmaceutical companies, engaging with C-level executives in finance and operations, as well as specialists in health &amp; safety, environmental sustainability, and IT.Given the industry-specific focus, a strong affinity for the pharmaceutical sector and expertise in software platform sales are crucial for this role. To succeed, you must have a proven sales track record, coupled with a high-energy, self-starting approach, and the ability to coordinate teams and manage complex sales processes effectively.Key Responsibilities•Generate new sales prospects•Maintain post-sales contact with large or strategic clients to facilitate a positive and productive long-term relationship•Communicate with customers with regards to any account problems and discusses customer concerns and suggestions•Focus efforts on product feedback, enhancement, upgrades, and development•Report suggestions to and develop solutions with sales, order processing, and customer success and support team•Compile data on marketing trends, competitive products and pricing and reports to management•Travel to and attend conferences, events and customer meetings as required Key Requirements•Bachelor’s Degree or equivalent relevant experience•5+ years’ experience in Field Sale or Account Management or other equivalent experience•Solid understanding of business, financials, products/services and the market, preferably with a reputation for providing a level of expert knowledge within your industry•Excellent communication (both written &amp; oral) and presentation skills•Ability to plan own territory/account approach and manage own resources; train and mentor junior staff•The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications as these may vary depending on location and line of business. The specific requirements may differ due to local or regional differences.

Overview: <ul><li>Monitors and evaluates the performance of the special needs center that the Company sponsors; provide metrics supporting key performance measures for these centers. Ensures high-quality, evidence-based practices adopted and implemented at the special needs’ centers including but not limited to: comprehensive evaluation and diagnosis, early intervention, Special education, Inclusive education and coordinating services; multidisciplinary therapeutic services, vocational and supported job programs’; and training and development of professional staff.</li><li>Provides expertise in training, program development, and evaluation in special education to special needs centers staff and operations; Provides effective supervision through advice and guidance on training, consultation, and evaluation to ensure a high standard of professional care, safeguarding and protecting the wellbeing of PwD students. Promotes and efficiently work with multidisciplinary PwD team settings.</li></ul> Responsibilities: <ul><li>Ensure special needs service is fit for purpose and meets international best practices.&nbsp;</li><li>Monitor and evaluate the performance of the special needs center; provide metrics supporting key performance measures.&nbsp;&nbsp;</li><li>Ensure high-quality, evidence-based practices including but not limited to: comprehensive evaluation and diagnosis, early intervention, Special education, Inclusive education and coordinating services; multidisciplinary therapeutic services, vocational and supported job programs’; and training and development of professional staff.</li><li>Provide expertise in training, program development, and evaluation in special education.</li><li>Provide effective supervision through advice and guidance on training, consultation, and evaluation to ensure a high standard of professional care, safeguarding and protecting the wellbeing of PwD students.&nbsp;</li><li>Promote and efficiently work with multidisciplinary PwD team settings.</li></ul> Requirements: <ul><li>Master’s degree in special education or rehabilitation specialty.&nbsp;</li><li>Five (5) years of experience facilitating evidence-based training modules and evaluating staff and student performance in accordance to benchmark in an academic and/or therapeutic setting for PwD children.</li></ul>

Job Details:Deliver guidelines for Power BI reports based on Direct QueryAchieve PBI Capacity stability to support IT Solutions and Community solutionsMigrate/remediate existing reports to adhere to issued guidelinesResponsibilities:Provide expertise on data visualization best practices and guide the selection of appropriate visuals for maximum impactMonitor and manage premium capacity metrics and proactively identify and resolve performance bottlenecksOptimize DAX queries for optimal performance and efficiencyCollaborate effectively with stakeholders from administrative perspectiveStay abreast of the latest Power BI features and functionalities to continuously improve reporting capabilitiesDesign and develop complex Power BI reports and dashboards using DirectQuery (minimal import), catering to diverse business needsBuild and maintain robust data models to ensure data consistency and integrity Requirements:Bachelor’s degree in computer science OR related technical degree OR equivalent experienceDirect Query and Capacity Management experienceStrong Power BI experience with GCP6+ years of experience in Business Intelligence and data analysis.3+ years of hands-on experience developing solutions using Power BI.Expert-level DAX knowledge with proven experience in optimizing complex queries.Proficiency in using DAX Studio, Tabular Editor, and Performance Analyzer for development and optimization.Strong understanding of data warehousing concepts and dimensional modeling.Excellent communication and stakeholder management skills.Experience with CI/CD for Power BI deployment pipelines.Experience with GCP: BigQuery, BI Engine & Looker

Role Details:Deliver guidelines for Power BI reports based on Direct QueryAchieve PBI Capacity stability to support IT Solutions and Community solutionsMigrate/remediate existing reports to adhere to issued guidelinesResponsibilities:Provide expertise on data visualization best practices and guide the selection of appropriate visuals for maximum impactMonitor and manage premium capacity metrics and proactively identify and resolve performance bottlenecksOptimize DAX queries for optimal performance and efficiencyCollaborate effectively with stakeholders from administrative perspectiveStay abreast of the latest Power BI features and functionalities to continuously improve reporting capabilitiesDesign and develop complex Power BI reports and dashboards using DirectQuery (minimal import), catering to diverse business needsBuild and maintain robust data models to ensure data consistency and integrity Requirements:Bachelor’s degree in computer science OR related technical degree OR equivalent experienceDirect Query and Capacity Management experienceStrong Power BI experience with GCP6+ years of experience in Business Intelligence and data analysis.3+ years of hands-on experience developing solutions using Power BI.Expert-level DAX knowledge with proven experience in optimizing complex queries.Proficiency in using DAX Studio, Tabular Editor, and Performance Analyzer for development and optimization.Strong understanding of data warehousing concepts and dimensional modeling.Excellent communication and stakeholder management skills.Experience with CI/CD for Power BI deployment pipelines.Experience with GCP: BigQuery, BI Engine & Looker

Responsibilities:Provides expert and objective advice to executive management to support decision-making in respect of all aspects of transactions. Is a core member of multi-functional transaction execution teams, providing end-to-end finance support to transactions.Screens and evaluates commercial options and evaluates transaction counterparties and joint venture partners.Is responsible for the valuation aspects of transactions, ensuring that financial models and outputs are prepared according to standards, that risks are considered, and that input assumptions are robust and documented, and that deficiencies and risks are considered.Prepares bid price recommendations for senior management reflecting competitive landscape.Manages the financial due diligence process (coordinating the activities of advisors as required), ensuring that due diligence findings are communicated to executive management and factored into valuation and/or definitive agreements.Advises on the accounting aspects of transactions.Contributes to definitive transaction agreements and is responsible for purchase price adjustments and post-transaction purchase price allocation.Is a member of the integration planning team, advising on finance aspects of integration.Coordinates the inputs of other finance experts to transactions.Develops, coaches and mentors team members on transactions.Contributes to the continuous improvement of processes and methodologies to become a center of excellence of M&A execution for the Company.Provides ad hoc financial analysis activities including on transfer pricing, impairment reviews, government incentives, and group policy reviews.Manages external Financial Advisors and consultants on transactions. Develops relationships in banks to bring external perspectives on the M&A landscape to the Company.Requirements:10+ years relevant experience in conducting financial analysis in M&A transactions, likely gained in leading investment banks, accounting firms, or large international corporations.Significant experience in large and complex cross-border transactions with a strong preference for experience in energy, natural resources, or infrastructure sectors.Expert level knowledge and use of financial analysis tools and methodologies, understanding of financial statements, familiarity with International Financial Reporting Standards (IFRS) and international taxation.You will hold a Bachelor’s degree in Finance, Accounting, Business, Management, or Engineering.Possession of an advanced business degree (e.g. MBA) or Accounting qualification is preferred, but not required.

Responsibilities:Data Ingestion and Extraction:Develop and optimize data ingestion pipelines to efficiently extract data from various sources e.g. databases, APIs, files etc.Ensure data quality and integrity through robust validation and cleansing processesData Transformation and Processing:Design and implement data transformation logic using Python and PySpark to convert raw data into a suitable format for analysisOptimise data processing pipelines for performance and scalabilityData Storage and Management:Select and implement appropriate data storage solutions (cloud-based data warehouses, data lakes, etc.) based on data volume and complexityDevelop strategies for data retention, backup, and recoveryETL/ELT Development:Build and maintain efficient ETL/ELT processes to move data between different systems and platformsOptimize ETL/ELT pipelines for performance and cost-effectivenessCloud Infrastructure:Leverage cloud-based data engineering services (AWS, GCP, Azure) to build scalable and cost-efficient data solutionsManage and maintain cloud-based data infrastructureData Modeling and Optimization:Design and implement data models to support business intelligence and analyticsOptimize data structures and indexes for query performanceCollaboration and Communication:Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver actionable insightsEffectively communicate complex technical concepts to both technical and non-technical audiencesData Governance and Security:Implement data governance policies and procedures to ensure data quality, security, and complianceProtect sensitive data through appropriate security measuresRequirements:At least a bachelor’s degree in computer engineering, or equivalentAt least 10 years in Microservices, with at least 4 years of experience in data engineering and architecturePrevious work experiences in using major cloud platforms (AWS, Azure, GCP) and containerisation technologies (Docker, Kubernetes)Proficient in Python and PysparkProficient in SQL and database designKnowledge and understanding of data warehousing, data lakes and big data technologiesKnowledge of data modeling and ETL/ELT processesKnowledge of PostgreSQL and OracleStrong problem-solving and analytical skillsAble to work independently and as part of a teamLead and manage the development team including assigning tasks and monitoring progressPreferred Requirements:Experience in using data visualization tools e.g. Tableau, PowerBI

Role Description:The Data Engineering Senior Supervisor will lead a small team of data engineering professionals to design, build and operate high performance data centric products or solutions through the use of modern engineering practices and technologies.In this role, you will provide guidance to ensure the delivered data centric products or solutions are scalable, sustainable and robust.You will also lead team development and cross team relationships and delivery to advance the company's engineering delivery.Responsibilities:Lead a local or regional team of engineering professionals that design, develop, deploy and enhance new and existing data centric products or solutions through the use of modern platforms and technologies.Provide routine inputs and guidance to the data engineering team on business requirements analysis, technical specification's preparation, product delivery, testing and operation to support businesses strategic direction.Coach engineers, share relevant technical approaches, identify new trends, modern skills and present new methodologies within the data engineering community.Lead and develop a team, coach and make decisions related to talent management, hiring, performance, and disciplinary actions.Other duties as assignedRequirements:Minimum QualificationsBachelor's degree in a related field or equivalent experience.Minimum of four years of related work experience.Minimum of two years leading a team of Data Engineers.Preferred QualificationsConfirmed data engineering experience with data storage and management of large, heterogenous datasets, including formats, structures, and cataloging with such tools as Iceberg, Parquet, Avro, ORC, S3, HFDS, HIVE, Kudu or others.Experience leading Big Data engineering teams working in environments such as Hadoop and SparkExperience leading technology strategies with cloud Platforms including AWS, GCP or AzureExperience leading engineering teams working in streaming and stream integration or middleware platforms, tools, and architectures such as Kafka, Flink, JMS, or Kinesis.Confirmed knowledge of best practice patterns and how to apply them to modern data architectures, including data warehouses, data lakes, data mesh, hubs and associated capabilities including ingestion, governance, modeling, observability and more.Experience leveraging transformation and modeling tools, including SQL based transformation frameworks, orchestration and quality frameworks including dbt, Apache Nifi, Talend, AWS Glue, Airflow, Dagster, Great Expectations, Oozie and others.Strong programming knowledge of SQL, Python, R, Java, Scala or equivalent.Proficiency in engineering tooling including docker, git, and container orchestration services.Strong experience leading devops teams with demonstratable understanding of associated best practices for code management, continuous integration, and deployment strategies.Experience and knowledge of data governance considerations including quality, privacy, security associated implications for data product development and consumption.A passion for quality and continuous improvement with an owners mindset.Ability to work effectively as part of a team, group and cultureAbility to navigate ambiguity and work in agile ways.

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265 energy modeling Jobs found

Data Modeler

AI Lead

Data Engineer

Field Sales Executive

PwD Specialist

Tech Lead Power BI

Tech Lead Power BI

Financial Analyst ASC

Data Engineer Lead - Python and PySpark

Data Engineer / Senior / Supervisor

WhiteCrow
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265 energy modeling Jobs found

Data Modeler

AI Lead

Data Engineer

Field Sales Executive

PwD Specialist

Tech Lead Power BI

Tech Lead Power BI

Financial Analyst ASC

Data Engineer Lead - Python and PySpark

Data Engineer / Senior / Supervisor

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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COMPANY

Contact Us

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.