Data Engineer

Job Description:

Data Engineer

Job Description:
- Having experience in Analysis, Design, Development, Testing, Customisation, Bug fixes, Enhancement, Support and Implementation using Python, spark programming.
- Worked on AWS environments such as lambda, server-less applications, EMR, Athena, Glue, IAM policies, roles, S3,CFT and Ec2.
- Developed Python and Pyspark programs for data analysis.
- Developed the Pysprk code for AWS Glue jobs and for EMR.
- Worked on a scalable distributed data system using the Hadoop ecosystem in AWS EMR, MapR distribution.
- Good working experience with python to develop Custom Framework.
- Developed Python code to gather the data from S3 and designs the solution to implement using Pyspark
- Highly motivated to work on Python scripts for generating reports based on requirements.
- Worked on Kafka for streaming data and also on data ingestion.

Exp- 3 to 7 yrs

Our benefits package includes:

• Medical Insurance Coverage
• Provident Fund Contribution
• Gratuity
• One Time Office Setup Cost upto 20K
• Company Stocks (ESOP)
• 10 Holidays
• Leaves (Earned Leaves, Sick Leaves, Casual Leaves, Bereavement Leaves etc)
• Free office lunch, snacks and Coffees
• Open Door Policy Approach at all levels
• Maternity Leave (up to 6 months paid leave for recovering birth mothers)
• Contemporary & Inspiring Workspace
• Flexible Schedule
• Talented and Engaged Colleagues