Senior Data Engineer

Overview

About This Opportunity

Responsibilities:

As a Software Engineer your areas of expertise include programming in javascript, implementing software engineering best practices in design, development, and utilization of APIs in cloud platforms. You have a passion for hands-on coding, putting quality first, delivering an exceptional experience to App Developers, Customers, and drive efficiency through the creation of extendable and re-usable service components.

You will also ensure that the components and the overall application are robust and easy to maintain. If required, you must be willing to wear any of the other hats that is required to make the project successful and always ready to learn new technology on the fly and deliver the results.

Educational & Required Qualifications:

· Overall 5 – 7 years of experience in industry

· 4+ years’ experience in building data workflows and big data systems.

· Must have 2+ years in Azure cloud and databricks setup.

· Must have 4+ years’ experience in spark framework based data pipeline development.

· Must have exposure to API development.

· 4+ years of experience in any relation database(Oracle/Postgres).

· 2+ years of experience in any NoSQL databases (Cassandra/MongoDB/DynamoDB).

· 4+ years of experience in any cloud services (AWS, Azure, GCP).

· Must have experience with messaging Technologies like Kafka or Rabbit MQ.

· Knowledge of CI/CD Pipelines built with GitHub, Maven, and Jenkins, etc.

· Excellent written and verbal communications skills.

· Ability to understand business requirements and translate into technical requirements.

· Bachelor's degree in Computer Science or equivalent.

· Exposure to retail industry, experience with e-commerce applications.

Job Types: Full-time, Permanent

Pay: ₹1,500,000.00 - ₹2,500,000.00 per year

Benefits:

• Health insurance
• Provident Fund

Schedule:

• Day shift
• Morning shift

Supplemental Pay:

• Performance bonus
• Yearly bonus

Application Question(s):

• Are You Based in Bangalore?

Experience:

• Python: 2 years (Preferred)
• SQL: 2 years (Preferred)
• Spark: 2 years (Preferred)

Work Location: In person