Data Engineer

Data Engineer Lead - Python and PySpark

Data Scientist - Entry

Techno-Economic Modeling Specialist

Data Consultant

Business Analyst

Senior Life Cycle Assessment Scientist

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>

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 Scientist role will work in a team environment to deliver business solutions.This will involve engaging with clients, internal onsite experts, and contract resources to develop and support IT solutions.Responsibilities: Works on clearly defined projects involving a limited amount of complexity, with regular review of output.Applies basic knowledge of established systems software development principles and best practices to independently resolve problems and make minor changes to existing processes/systems.Good to have sound knowledge on Generative AI , machine learning concepts and principles.Knowledge of advanced predictive analytics using tools like Python or R.Knowledge of Frameworks such as Scikit-learn , Numpy, Pandas, Beautifulsoup, Matplotlib, Dash.Experience working with visualization tools like Power BI and Tableau.Strong written, verbal and interpersonal communication skills.Ability to work in teams and good team player.Requirements:0.6 -2 Years of Experience.Education: B.Tech/B.E. - Any Specialization, M.E/M.Tech - Any Specialization, MCA.Should have attended a Data Science Bootcamp / Course / Internship.

Responsibilities:Support strategic option analysis (e.g., make vs. buy, technology portfolio prioritization) via provision of cost-benefit assessments and analysis, as well as validation of economic and risk assumptions; present findings and recommendations based on analysis to senior management.Analyze trends and market intelligence to support the development of business cases (and value hypothesis) for technology projects going through the corporate technology stage-gate process.Create financial models and establish the value of technologies for potential commercial applications, in support of technology development, deployment and external licensing efforts. Support technology project teams in the development of a robust financial case for internally developed technologies, including techno-economic models for investment appraisal of technologies in the stage-gate process.Provide detailed financial and economic insights for evaluating technology project performance by analyzing relevant data against the technology scorecard KPIs.Support technology development, demonstration, internal deployment and external commercialization opportunities, including implementation of robust deployment plans. This includes tracking and accurately reporting the value realized from deployed technologies, as well as supporting internal and external reviews of the relevant financials.Provide input to help evaluate licensing opportunities to enable favorable license terms.Develop, manage and assure the quality of economic modelling tools used within TOC.Periodically review and improve financial models, maintain and update the repository of licenses and portfolio position on all approved technology/innovation applications.Work flexibly across TOC and/or R&D domains as required.Share and transfer techno-economic evaluation fundamentals knowledge to increase financial acumen in the organization. Requirements:Bachelor’s degree in Economics, Econometrics, Engineering, Statistics, Business Administration, or a related discipline. An advanced degree (MBA/Finance) is highly preferred.At least 15 years of professional experience, including a minimum of: 10 years in leading organizations in the energy or chemicals sector, and/or with leading management consulting firm(s); and five years’ conducting incremental, cost-benefit/effectiveness and budget impact analyses using mathematical, economic or statistical modelling tools and techniques, such as decision tree analysis, Markov modelling, and/or discrete event simulations, including Monte Carlo simulations and real options, risk adjustment, and risk management.In-depth knowledge and understanding of one or more relevant core businesses (downstream refining, petrochemicals, midstream, and upstream) and emerging technologies related to corporate sustainability (Circular carbon economy; CO2 capture, utilization and storage; nonmetallic materials; sustainable plastics; artificial intelligence; and industrial sensoring and monitoring).Ability to develop insights from market research to technology business case development; mastery in quantitative economic and financial analysis, portfolio modelling and technology valuation, including: incremental, risk-adjusted, cost-benefit, variance and scenario analyses, NPV, and sensitivity analysis, using a range of tools and applications (Microsoft Excel, SQL, SAS, R, MatLab, Tableau, and/or other VBA type software to analyze complex and large data sets, Planisware, or similar tools for portfolio and project management)

Responsibilities:Lead Data and Analytics team that supports customers big data platform.Partnership with customer’s technology team to create data products.Provide BAU support to suite of Data platform and data products.Ensure zero audit issues, closely monitor compliance and governance for applications managed by the team.Ensure production stability and incident resolution as per the agreed turnaround time and SLA.Proactively identify compliance, process improvements/automation and work with customer to improve them.Requirements:3 to 5 years of experience in Data Visualization using Tableau. Experienced in QlikSense/Power BI.Experience with enterprise data lakes, datastore applications (Snowflake, Redshift, Postgres).Prior hands-on experience in writing SQLs to fetch data from various data source (Database, API, JSON)Proficiency in one of the programming languages preferably PySpark or Python.Strong understanding in investment operational systems and analytics/business intelligence tools for creating data products and analytical offerings to the firm.Prior experience in leading multiple smaller teams to deliver data products, provide BAU support to data platforms and supporting customer with audit, compliance matters.

Responsibilities:Analyze sales data to identify trends, patterns, and opportunities for growth in the country.Drive countries to collect different data – retailer data , promoter data , display data , etcGenerate regular reports and dashboards to track key sales metrics, including revenue, unit sales, market share, and profitability.Use multiple data sources to analyze, track, interpret and make clear and concise recommendations on action plans for the Sales and Trade Ops teams to drive sell-out across all product categoriesApply expertise in quantitative and qualitative analysis to synthesize trends and be able to tell the story behind the numbersConduct market research and competitive analysis to understand consumer preferences, market dynamics, and emerging trends.Collaborate with Sales, Marketing, and Product teams to develop sales forecasts, pricing strategies, and promotional campaigns.Provide recommendations for optimizing product assortment, inventory management, and distribution channels based on data-driven insights.Support sales team with data-driven decision-making, including customer segmentation, targeting, and territory management.Identify areas for process improvement and efficiency gains within the sales operations through data analysis and automation.Present findings and recommendations to senior management and stakeholders in clear and concise reports, presentations, and verbal communication.Stay updated on industry developments, market trends, and best practices in sales analytics and business intelligence.Requirements:You should have a bachelor’s degree or higher in business analysis, business administration, finance, or a related fieldFluent in English (oral and written) Other APAC Language knowledge would be a valuable addionAt least 3-5 years of Data & Analytics experience (e.g. in a consultancy, agency, or on the customer side) - ideally with a marketing/ e-commerce industry backgroundExperience in data analysis and visualization tools such as Tableau, MS Power BI, QLIK, etc.Advanced MS Office skills, with distinct Excel. SQL expertise Business reporting system knowledge (i.e. SAP, Qlikview) Optional skills are a plus: Digital analytics tools (Adobe Analytics, Google Analytics), Coding: Python/R/JavaScript, Experience with data science projects

Responsibilities:Lead Data and Analytics team that supports customers big data platformPartnership with customer’s technology team to create data productsProvide BAU support to suite of Data platform and data productsEnsure zero audit issues, closely monitor compliance and governance for applications managed by the team.Ensure production stability and incident resolution as per the agreed turnaround time and SLAProactively identify compliance, process improvements/automation and work with customer to improve themRequirements:3 to 5 years of experience in Data Visualization using Tableau. Experienced in QlikSense/Power BIExperience with enterprise data lakes, datastore applications (Snowflake, Redshift, Postgres)Prior hands-on experience in writing SQLs to fetch data from various data source (Database, API, JSON)Proficiency in one of the programming languages preferably PySpark or PythonStrong understanding in investment operational systems and analytics/business intelligence tools for creating data products and analytical offerings to the firm.

Responsibilities:Develop comprehensive CO2/energy life cycle assessment (LCA) models for low-carbon energy, mobility, and petrochemical pathways, including hydrogen-based fuels, CO2-to-fuels/chemicals, advanced CO2 capture technologies, and novel industrial processes. Utilize state-of-the-art modeling techniques, tools and simulation software to support CO2-impact assessments of energy-technology solutions independently or as part of a broader techno-economic assessment.Develop new methodologies and/or adapt emerging techniques from the literature into own assessment methods in order to advance the frontiers of Life Cycle Assessment (LCA) thinking within the Company. Maintain good understanding of Life Cycle Assessment (LCA) methodologies adopted in key regulations worldwide (e.g., EU’s Renewable Energy Directives (RED)). Lead collaborative research with universities and research institutions on various energy-technology pathways. Publish peer-reviewed articles in high-impact journals. Maintain and expand working knowledge of applicable software for programming (Matlab, Python, VB Excel, R), data analysis, and visualization (Power BI, Tableau).Provide and manage a safe, accident-free office environment; follow all company safety rules in performing job duties.Perform other miscellaneous related duties as requested. Requirements:PhD Degree in Science/Engineering/Physics/Mathematics Discipline as appropriate for the area of expertise. Master’s degree with proven LCA expertise will also be considered. At least seven years (7) experience in a substantive industrial, technological or research area relevant to life cycle assessment (LCA).Expertise in one or more Life Cycle Assessment (LCA) tools (e.g., GREET, GaBi, openLCA, SimaPro, etc.)Knowledge of techno-economic assessment techniques for energy-technology solutions. General knowledge of environmental policy regulations in major markets (e.g., Europe, USA, China, India) and other regions worldwide would be viewed favorably. Comfortable working independently and as part of a project team.Strong interpersonal skills and the capability to work effectively in multicultural environments across multiple divisions and time zones.Proven track records in Life Cycle Assessment.Efficient communication skills in oral and written form, both technically and at high-level.Self-motivated and able to adapt to changing environments.

Skills

Industry

Location

Jobtitle

8 tableau Jobs found

Data Engineer

Data Engineer Lead - Python and PySpark

Data Scientist - Entry

Techno-Economic Modeling Specialist

Data Consultant

Business Analyst

Data Consultant

Senior Life Cycle Assessment Scientist

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

Skills

Industry

Location

Jobtitle

8 tableau Jobs found

Data Engineer

Data Engineer Lead - Python and PySpark

Data Scientist - Entry

Techno-Economic Modeling Specialist

Data Consultant

Business Analyst

Data Consultant

Senior Life Cycle Assessment Scientist

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

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