Qualifications- 8 years of good hands-on exposure with Big Data technologies – pySpark (Data frame and SparkSQL), Hadoop, and Hive - Good hands-on experience of python and Bash Scripts - Good understanding of SQL and data warehouse concepts - Strong analytical, problem-solving, data analysis and research skills - Demonstrable ability to think outside of the box and not be dependent on readily available tools - Excellent communication, presentation and interpersonal skills are a mustGood to have:- Hands-on experience with using Cloud Platform provided Big Data technologies (i.e. IAM, Glue, EMR, RedShift, S3, Kinesis) - Orchestration with Airflow and Any job scheduler experience - Experience in migrating workload from on premises to cloud and cloud to cloud migrationsRoles & Responsibilities- Develop 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.
Job Title
Lead Data Engineer