Job Location: Pune
- Data Engineer who will be working closely with the technology and the business teams in designing and developing a robust Data Lake architecture which deliver deep analytics.
- Proficient in building optimal data pipeline for complex data sets with best practice
- Ability to design with consideration for performance, scalability, and DevOps.
- Proficiency in enterprise level ELT AND reporting with wide variety of data sources (SQL and No-SQL), Big DataRequired
- Strong analytical skills working with SQL and NoSQL datasets.
Experiencing in developing Data Warehouse and Data Lake solutions - Deep experience with any of the data tools like Hadoop, Spark, Kafka, Storm, Hive/Pig.
- Working experience with AWS cloud services: EC2, ECS, RDS, Redshift, S3, VPC
- Working experience of exposing Data and Analytics Services using GraphQL or Rest.
- Experience with data pipeline and stream-processing systems tools: Dbt, Glue, Informatica, AWS Kinesis etc.
- Exposure to MDM, Data Modelling and Data Marts build.
- Working Knowledge of in BI tools like Quicksights, Power BI, Tableau.
- Should be a team player & passionate to work in a Start-up.
- Excellent Oral and written communication skills
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