Responsibilities: 

• Collaborate with product / business owners through the product/project lifecycle and develop data engineering solutions aligning to Nissan's data strategy.
• Lead a team of data engineers and guide them during the development lifecycle.
• Work with solution and Data architect to resolve any technical and architectural challenges during the implementation.
• Design and develop various components of data pipeline that include data ingestion, data processing and analysis of business data.
• Create high level and low-level design for the module.
• Lead scoping effort, provide inputs in preparing effort, and time estimates for projects.
• Develop medium to complex modules using coding standards and guidelines. Build reusable components/frameworks.
• Perform Code review and maintain code review standards
• Follow best practices of agile & DevOps while implementing solutions.

Skills and Qualifications:

The ideal candidate should have worked on end-to-end data warehousing, data lake solutions in cloud platforms(AWS).

The candidate should have the following skills sets:

• Strong data engineering (ETL) experience in cloud preferably in AWS.AWS Certification (developer/Devops/SA) preferred.
• Excellent understanding of distributed computing paradigm.
• Should have excellent experience in data warehouse and data lake implementation.
• Should have excellent experience in Relational databases,ETL design patterns and ETL development.
• Should have excellent experience in CICD frameworks and container-based deployments.
• Should have excellent programming and SQL skills.
• Should have good exposure to No-SQL and Big Data technologies.
• Should have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies:
• Data integration/Engineering – ETL tools like Talend, ETL ,AWS Glue etc. Experience in Talend Cloud ETL will be plus.
• Data warehouse - Snowflake and or AWS Redshift.Experience in Snowflake cloud DWH would be an advantage.
• Data modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies.
• Programming - Java/Python/Scala and SQL.
• Data visualization – Tools like Tableau, Quicksight.
• Master data management (MDM) – Concepts and experience in tools like Informatica & Talend MDM.
• Exposure to Big data – Hadoop eco-system, AWS EMR.
• Exposure to Big Data processing frameworks – Kinesis, Spark & Spark streaming
• Demonstrate strong analytical and problem solving capability
• Good understanding of the data eco-system, both current and future data trends.
• Should be a go to person for the above technologies

Drive your career forward and join the company leading the technology and business evolution in the automotive industry.

Trivandrum Kerala India