Senior Data Engineer

Open Location

Immediate Joiners are preferred.

Qualification

• 4 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
• Orchestration with Airflow and Any job scheduler experience
• Experience in migrating workload from on-premises 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 Cloud env.
• Provide estimates for development, testing & deployments on different env.
• Participate in code peer reviews to ensure our applications comply with best practices.
• Develops and maintains scalable data pipelines to support continuing increases in data volume and complexity.
• Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
• Writes unit/integration tests, contributes to engineering wiki, and documents work.
• Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Works closely with a team of frontend and backend engineers, product managers, and analysts.
• Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.
• Designs data integrations and data quality framework.

Mandatory Skills