Lead Data Engineer- PySpark/AWS

Job Description : - 7-10 years of good hands on exposure with Big Data technologies - PySpark (Data frame and SparkSQL), Hadoop, and Hive. - Good hands on experience of python, 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 must Cloud Skills : - 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-premise to cloud and cloud to cloud migrations Roles & 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. Mandatory Skills : PySpark, AWS Years Of Experience : 7-10 : BE / B.Tech / MCA / M.Tech (ref:hirist.tech)

Location: in, IN

Posted Date: 4/3/2025