AI Lead

Product Specialist

Data Engineer

Data Engineer (Informatica)

Digital Architect

Enterprise Architect

AVP - Software Engineer - AI/ML systems

Associate Software Engineer - AI/ML systems

Data Engineer Lead - Python and PySpark

Data Engineer Lead - Java with Spark

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>Work with design and engineering teams to review product designs, suggest improvements, and oversee development</li><li>Engage with users to understand their needs and expectations, and help them determine which product is right for them</li><li>Monitor the product lifecycle</li><li>Represent the organization at symposia and congresses.</li><li>Develop business plans and product positioning in the marketplace</li></ul> Requirements: <ul><li>Advanced Degree: Masters degree in computer science, Artificial Intelligence, or a relevant field.</li><li>Educational Background: Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>Technical Skills: Proficiency in programming languages such as Python, Java, or C++, and familiarity with AI frameworks like TensorFlow or PyTorch.</li><li>Experience: Minimum 5-7 years of hands-on experience in developing and deploying AI products and solutions.</li><li>Analytical Abilities: Strong analytical skills with the ability to leverage advanced data analytics tools and techniques.</li><li>Problem-Solving Skills: Excellent problem-solving capabilities to devise innovative solutions and optimize AI algorithms for product enhancement.</li><li>Specialized Knowledge: Domain-specific knowledge relevant to the Airline or Travel Industries</li><li>Industry Experience: Previous experience in applying AI solutions within the specific industry, demonstrating a deep understanding of industry challenges and opportunities.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Familiarity with integrating Large Language Models (LLMs) into product applications or building LLM-powered applications.</li><li>Leadership Experience: Proven ability to lead and influence teams in AI product development projects.</li><li>Continuous Learning: Commitment to staying updated with advancements in AI and machine learning technologies.</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>

Responsibilities: <ul><li>Manage and maintain application-related components e.g. BDM, MFT Java, Unix scripts</li><li>Participate in business requirements gathering and work closely with BA, Tech, EA on delivery of minor enhancements</li><li>Create, maintain and review design documentations</li><li>Implement and manage change requests pertaining to application-related components e.g. S3, BDM, MFT</li><li>Work with other relevant teams as required e.g SCP, IOC, Production Control, Infrastructure, Security, Audit</li><li>Work with platform and application teams to manage and close incidents or issues, and implement changes</li><li>Document and update Standard Operating Procedures (SOP)</li><li>Manage and maintain batch job execution and troubleshooting</li></ul> Requirements: <ul><li>Bachelors degree in software engineering</li><li>At least 5 progressive years of Informatica technical experience with Enterprise Data Warehouse design and development using Informatica</li><li>Proficiency in Informatica BDM is mandatory</li><li>Experience in ETL, Data Ingestion, Investment Data transformation</li><li>Experience in DWH design and knowledge of its best practices</li><li>Proficiency in Postgres, Unix</li><li>Knowledge in data integration e.g MuleSoft, AWS S3, SFTP, Webservices</li><li>Knowledge in Workday, Simcorp, Markit EDM</li><li>Able to understand the business, technical requirements and convert them into design-and-build</li><li>Able to do performance tuning of Informatica BDM jobs</li><li>Able to present solutions to architects and get approval</li><li>Able to troubleshoot complex data issues and resolve them within Service Level Agreements (SLA)</li><li>Ability to partner with product vendors and implementation teams</li></ul> Preferred Requirements: <ul><li>Knowledge in Informatica MFT / Axway</li><li>Knowledge in integration tools</li><li>Knowledge in project management</li><li>Experience gained from banking and finance industry</li></ul>

Responsibilities: <ul><li>Tactical problem solving and strategic planning of the Digital infrastructure through platform technology roadmaps</li><li>You may be asked to lead or manage a small team of infrastructure architects</li><li>Clear problem and requirement identification ties to business case/value definition</li><li>Design, construct, test and implement process and technology services and systems while adhering to established standards and architecture via leading established methodologies including Agile and Waterfall</li><li>Ensure appropriate documentation is developed in support of value realization</li><li>Plans tasks and estimates the required research and volume of activities to complete work</li><li>Researches issues, develops recommendations and actively participates on project teams to develop solutions to business problems related to a broad range of business and product issues</li><li>Responsible for creating and reviewing Application Architecture for Digital Applications and provide technical leadership in the evaluation of Digital solutions to satisfy business and technical requirements</li><li>Support Solution Architects in development of solution architectures that touches Digital solutions including evaluation, selection and integration of necessary technical components</li><li>Collaborate with Delivery Manager and is able to oversee the entire project life cycle</li></ul> Requirements: <ul><li>Qualifications for a job description may include education, certification, and experience.</li><li>List any licenses or certifications required by the position: TOGAF, ITIL, CPE, AWS, ACE, MCSE, ECM, AIIM, SSL, GCP</li><li>Typically a job would require a certain level of education.</li><li>Employers hiring for the digital architect job most commonly would prefer for their future employee to have a relevant degree such as Bachelors and Masters Degree in Computer Science, Engineering, Technical, Information Technology, Education, Business, Technology, Information Systems, Software Engineering, Mathematics</li></ul>

The Role:This role is responsible for bridging the gap between IT Strategy and its execution through effective Enterprise Architecture Management. The Enterprise/Solution Architect will lead the development and implementation of application and technology roadmaps, ensuring alignment with overall business objectives. This role demands a strong understanding of emerging technologies, industry best practices, and the ability to effectively communicate technical concepts to both technical and non-technical stakeholders.Responsibilities:Strategic Planning & Alignment:Connect IT strategy to execution through Enterprise Architecture Management.Develop and drive application/technology landscape strategies based on IT Strategy/Portfolio analysis.Create and manage the architecture roadmap for application portfolio transformation across various business domains.Technology Research & Recommendations:Research and stay informed on market trends, competitive landscapes, and emerging technologies.Recommend technologies, standards, methods, and tools to support both long-term strategic and short-term tactical business objectives.Provide guidance and recommendations on enterprise architecture strategies, blueprints, principles, patterns, processes, and methodologies.Governance & Compliance:Lead the enterprise architecture design authority governance.Collaborate with project architects and managers to ensure architectural compliance across projects.Experience & Expertise:Proven track record of developing and delivering enterprise-wide technology architecture plans that simplify and standardize applications.Extensive experience and knowledge in the CPG (Consumer Packaged Goods) industry.Strong understanding of solution design and delivery for applications and technologies related to Omni-Channel Ecommerce, CRM, Retail, Sales & Marketing, Finance & Supply Chain business processes.Knowledge of Salesforce Technologies (SFCC, SFMC, SFSC, Lightning & CG Cloud, etc.) is a plus. Proven ability to lead and guide IT and business stakeholders on target enterprise capability blueprints.Expertise in providing architecture recommendations for Cloud solutions (Azure, AWS, GCP), Enterprise integration patterns (API, Event, ESB), and Business Intelligence/Master Data Management technologies.Communication & Collaboration:Excellent communication skills with the ability to create impactful presentations. Ability to explain complex technical information effectively to both technical and non-technical audiences.Strong collaboration and interpersonal skills with a proven ability to influence stakeholders indirectly.Experience working with cross-functional teams and driving change within an organization.Project & Time Management: Ability to manage and deliver on both short-term and long-term goals. Strong project management and process experience, including accurate resource, timeframe, and budget estimation for projects and deliverables.Requirements:Bachelor's/Master's degree in Computer Science or equivalent experience in a technology-related field.8-12 years of strong technology experience, with a minimum of 3 years specifically in enterprise architecture.Certifications in industry-recognized standards such as TOGAF, Salesforce, Microsoft Azure/PowerPlatform, GCP, etc. are preferred.

Responsibilities:Design and build the next generation of the world's best investment management technology platform, focusing on managing various investment lifecycle processes and investment research.Integrate new AI services across the platform and Aladdin application ecosystem. Refine business and functional requirements and translate them into scalable technical designs.Collaborate with product engineering teams to implement comprehensive AI/ML-based solutions from start to finish.Apply quality software engineering practices throughout the software development lifecycle.Optimize the software delivery and workflow of the team. Work with team members in a multi-office, multi-country environment.Requirements:B.S./M.S. degree in Computer Science, Engineering, or a related subject area with 2+ years of proven experience, or equivalent experience, for Associate positions and 4+ years, or equivalent experience, for Vice President.Proficiency and hands-on experience in object-oriented programming with Java and Python.Proficiency in designing and building scalable APIs and Microservices.Experience with cloud platforms such as Azure (Preferred), AWS, or GCP.Ability to reverse engineering existing applications.Grit in the face of technical obstacles Experience working in Agile development teams with excellent collaboration skills.

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

Responsibilities:Lead and manage the development team, including assigning tasks and monitoring progressPart of Development team to analyse, design, and implement enterprise-wide Java based systemsHands on expertise in Microservices.Plan, analyse and define solutions through business, functional and technical expertiseWork with product managers on issues or questions related to system requirementsRespond to inquiries concerning application development and supportDevelop, program, and maintain applications using the Apache Spark open-source frameworkWork with different aspects of the Spark ecosystem, including Spark SQL, DataFrames, Datasets, and streamingRequirements:At least a bachelor’s degree in computer engineering, or a relevant fieldMinimum 10 years of hands-on experience in Spark, Microservices and latest Java versionMinimum 6 years of experience in cloud computing and architectureExperience with major cloud platforms e.g. AWS, Azure, GCP etc.Experience with containerization technologies e.g. Ec2, Docket, KubernetesExperience using Spark framework and streaming data platformsExperience in hands-on programming skills in Java and Hadoop ecosystemKnowledge in relational databases i.e. SQL and ORM technologies e.g. JPA2, HibernateKnowledge in database design and data normalisationKnowledge of DevOps methodologies and toolsKnowledge of Oracle / PostgreSQLKnowledge of relational databases, SQL and ORM technologies i.e. JPA2, Hibernate and database design and data normalizationPreferred Requirements:Knowledge and hands-on experience in Hadoop concepts like Hadoop Common, HDFS, Hadoop Yarn, Hadoop MapReduce and data processing techniquesPrevious work experiences as a Java, Spring boot Technical Lead or similar rolesStrong experience with Java and Spring boot frameworks like MVC, REST backend applications

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33 aws s3 Jobs found

AI Lead

Product Specialist

Data Engineer

Data Engineer (Informatica)

Digital Architect

Enterprise Architect

AVP - Software Engineer - AI/ML systems

Associate Software Engineer - AI/ML systems

Data Engineer Lead - Python and PySpark

Data Engineer Lead - Java with Spark

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33 aws s3 Jobs found

AI Lead

Product Specialist

Data Engineer

Data Engineer (Informatica)

Digital Architect

Enterprise Architect

AVP - Software Engineer - AI/ML systems

Associate Software Engineer - AI/ML systems

Data Engineer Lead - Python and PySpark

Data Engineer Lead - Java with Spark

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

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TALENT

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Contact Us

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