Role : Senior Software Engineer (Spark, AWS, Python

Location : Gurugram, India

This is a senior level engineering role where the candidate would be a part of Data Engineering team distributed in the US and India. They are expected to provide technical leadership, be fully hands-on and lead by example. They are expected to architect complete end-to-end solutions/data pipelines; data ingestion, ETL , reporting and APIs.

This is a great career opportunity to mentor, grow, learn and work on the latest big data & AWS cloud technologies with meaningful impact. You will be working with a high-performing team that believes in open communication, collaboration, and embraces good ideas from everywhere to make the team successful.

You will:

• Work with various Big Data technologies on AWS. 
• Deploy data pipelines in production based on CI/CD practices using Docker and Airflow
• Contribute to software implementation specs, test plans, participate actively in code reviews and adhere to very high-quality coding practices with good test coverage.
• Mentor and lead other data engineers. 

You are: 

• Good technical communicator; Someone who can explain the big picture view in a shared setting.
• Someone who can translate business problems into Software Design, Architecture and code.
• Technical Leader who motivates and guides team members to grow and thrive

You Have:

• B.Tech./B.E./M.Tech./MCA or equivalent, in computer science or relevant area
• 6+ years of computer systems design/software architecture experience
• 6+ years of Java/Scala and/or Python programming with good CS fundamentals
• 6+ years of Big Data development experience with Hadoop/Spark and writing ETLs
• 6+ years’ experience of SQL, RDBMS and/or NoSQL database technologies 
• AWS experience preferred or any other public cloud
• A big plus and way to standout – Experience building Machine Learning pipelines, MLOps, knowledge of fundamental ML/statistical models