Module Lead Data Engineer

Job Description

• 6-8 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 must
• 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.