Job Location: Gurgaon/Gurugram
Roles and Responsibilities-
- Experience with any big data tool: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Map data between source systems, data warehouses, and data marts.
- Verify the structure, accuracy, or quality of the data warehouse.
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
- Develop, implement, and maintain stored procedure and ETL (Extract, Transform, Load) logic
- Interact with business users to gather requirements and determine the source of data elements and subsequent organization and retrieval of data from the data warehouse.
- Implement business rules via stored procedures, middleware, or other technologies.
- Experience building and optimizing big data pipelines, architecture, and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
- Knowledge of message queuing, stream processing, and highly scalable big data stores.
- Good Communication
Good to Have
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with Linux/OSX command line and git is a plus
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
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