JOB DETAIL

1.Data Engineer for Bangalore with 2 to 3 Years of Experience

Key responsibilities of the role include:

• Contribution towards delivery of innovative and engaging data engineering solutions.
• Understanding of business and technical requirements, provision of subject matter expertise and implementation of data engineering techniques.
• Conducting of data discovery activities, performing root cause analysis, and making recommendations for the remediation of data quality issues.
• Putting into practice good organizational and time management skills, with the ability to prioritize and complete multiple complex projects with complete ownership.
• Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
• Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modelling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations.
• Development of the ETL/ELT Frameworks with best practice available in the market.
• Development of Data Solutions in alignment with the Data Security and Data Governance Rules in various Markets (Countries)
• Develop a very good understanding of Client Data & Analytics Strategy and ensure alignment of team’s priorities to the strategy
• Develop execution plan to enable future fit skills by training on Data Engineering principles
• Build and manage relationship with stakeholders within D&A and Business
• Drive operational excellence within the team
• Ensure adherence to SLA and drive user satisfaction
• Design thinking and Agile Scrum Approach
• 2 to 3 years of relevant experience in Big Data Solutioning and Cloud Computing
• Experience in developing data pipelines to transform, aggregate and or process data using Azure Databricks platform
• Experience in creating data pipelines using Azure Data Factory, Polybase and U-SQL.
• Hands-on experience in implementing Azure Cloud data warehouses, Azure and No-SQL databases and hybrid data ingestion scenarios
• Experience in creating tabular models (DAX) in Visual Studio.
• Hands on Experience in Azure Devops/Git Hub for Code maintenance and Deployment
• Experience of Working with Senior Business Stake holders.

Education:

• Ideal candidates would preferably have a master’s or Bachelor’s degree in Computer Science

2. Data Engineer for Bangalore with 3 to 5 Years of Experience

Key responsibilities of the role include:

• Spearhead the Product Development through engaging with the Product Owners and key Business Stakeholders and understand the business needs.
• Collaborate with enterprise architects, data architects, ETL (Extraction Transfer Load) developers & engineers, data scientists and information designers to lead identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities.
• Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modelling, data virtualization, self-service data preparation & analytics, AI (Artificial Intelligence) enablement, and API (Application Programming Interface) integrations
• Participate in deep architectural discussions to build confidence while building innovative solutions and migrating existing data applications on the Azure platform.
• Optimize data integration platform to provide optimal performance under increasing data volumes
• Create training contents for new joiners and SME’s.
• Support the data architecture and data governance function to continually expand their capabilities
• Manage and work with 3^rd Party Data engineers
• Lead creation of design patterns for effective Data Engineering Practices across functions.
• Implement business and IT (INFORMATION TECHNOLOGY) data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools
• Work with business and application/solution teams to implement data strategies, lead build of data flows
• Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks
• Development of the ETL Frameworks with best practice available in the market.
• Development of Data Solutions in alignment with the Data Security and Data Governance Rules in various Markets (Countries)
• Develop an exceptionally good understanding of Client Data & Analytics Strategy and ensure alignment of team’s priorities to the strategy
• Work closely with the D&A Markets, functions, Business teams, Geo IT, and any spoke teams when it comes to Data Engineering requirements
• Build and manage relationship with stakeholders within D&A and Business
• Committed to drive operational excellence and be an example for the team
• Ensure adherence to SLA (Service Level Agreement) and drive user satisfaction
• Mentor team on continuous improvement which will includes Improved ways of working between engagement, tracking, Simplification and Standardization
• Design thinking and Agile Scrum Approach
• 3 to 5 years of relevant experience in Big Data Solutioning and Cloud Computing
• Experience in developing data pipelines to transform, aggregate and or process data using Azure Databricks platform
• Experience in creating data pipelines using Azure Data Factory, Polybase and U-SQL.
• Hands-on experience in implementing Azure Cloud data warehouses, Azure and No-SQL databases, Graph DB (Data Base) (e.g., Neo4j, Gremlin) and hybrid data ingestion scenarios
• Experience in creating tabular models (DAX) in Visual Studio.
• Hands on Experience in Azure DevOps/Git Hub for Code maintenance and Deployment
• Experience of Working with Senior Business Stake holders.

Education:

• Ideal candidates would preferably have a master’s or bachelor's degree in Computer Science / Information Technology