Role & Responsibilities
The Senior Data Engineer will be responsible for
• Create and maintain optimal data pipeline architecture; assemble large, complex data sets that meet functional / non-functional requirements.
• Design the right schema to support the functional requirement and consumption pattern.
• Design and build production data pipelines from ingestion to consumption.
• Build the necessary datamarts, data warehouse required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
• Create necessary preprocessing and postprocessing for various forms of data for training/ retraining and inference ingestions as required
Want more jobs like this?
Get jobs in Bangalore, India delivered to your inbox every week.
• Create data visualization and business intelligence tools for stakeholders and data scientists for necessary business/ solution insights
• Identify, design, and implement internal process improvements: automating manual data processes, optimizing data delivery, etc.
• Ensure our data is separated and secure across national boundaries through multiple data centers and AWS regions.
Technical Skill Set
• Hands on experience in Informatica PowerCenter/IICS as an ETL tool
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift, S3, Athena and familiarity with various log formats from AWS.
• Experience in AWS Glue ETL, AWS Crawler, AWS Lambda, Glue Data Catalog, AWS Glue Studio.
• Hands on experience with python programming, spark, shell scripting
• Knowledge of Database Concepts - Indexing, Partitioning is must.
• Knowledge of Data warehousing - Normalization, Denormalization, Star/Snow-flake schemas.
• Good Hands -on the table's creations, DDL, DML and TCL
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with data pipeline and workflow management tools: Airflow, Luigi etc.
Qualifications
Graduate
Schedule: Full-time
Req: 009BWK