PySpark Engineer

• 3-5 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

Good 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-premise to cloud and cloud to cloud migrations

• 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.