Senior Data Engineer

6 days ago


bangalore, India Impetus Full time

Location- Noida / Gurgaon / Pune / Indore / Hyderabad / BangaloreJob Description4-5 years of good hands-on exposure with Big Data technologies – PySpark (Data frame and SparkSQL), Hadoop, and HiveGood hands on experience of python and Bash Scripts.Able to write Glue jobsHands-on experience with using Cloud Platform provided Big Data technologies (i.e. Glue, EMR, RedShift, S3, Kinesis)Good understanding of SQL and data warehouse tools like (Redshift)Strong analytical, problem-solving, data analysis and research skillsDemonstrable ability to think outside of the box and not be dependent on readily available toolsExcellent communication, presentation and interpersonal skills are a mustGood to have:Orchestration with Airflow and Any job scheduler experienceExperience in migrating workload from on-premise to cloud and cloud to cloud migrationsRoles & ResponsibilitiesDevelop efficient ETL pipelines as per business requirements, following the development standards and best practices.Perform integration testing of different created pipeline in AWS env.Provide estimates for development, testing & deployments on different env.Participate in code peer reviews to ensure our applications comply with best practices.create cost effective AWS pipeline with required AWS services i.e S3, IAM, Glue, EMR, Redshift etc.



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