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
JD:
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.