Consultant | ETL Developer

Required Skill:

• 2-4 years of experience in software development, data engineering, or backend application development.
• Strong proficiency in Python with hands-on experience in PySpark or Spark-based data processing frameworks.
• Experience designing, developing, or maintaining data pipelines, backend services, and application features.
• Solid understanding of Git-based development workflows, including branching strategies, pull requests, code reviews, and issue tracking.
• Working knowledge of cloud and database technologies such as AWS (S3, IAM, RDS) and PostgreSQL.
• Strong foundation in software testing, including unit testing, integration testing, and data validation practices.
• Experience working within Agile development environments and actively participating in sprint planning, stand-ups, retrospectives, and reviews.
• Ability to translate defined requirements into reliable, high-quality deliverables with minimal supervision.
• Comfortable providing and incorporating constructive feedback during peer code reviews.
• Experience debugging production issues, performing root-cause analysis, and supporting issue resolution.
• Maintains clear technical documentation, including implementation details, assumptions, and key decisions to support knowledge sharing.

Skills:

• Exposure to workflow orchestration platforms such as Apache Airflow or similar scheduling tools.
• Domain knowledge or experience in utilities, energy analytics, power systems, or grid-impact analysis.
• Experience working in multi-repository or large-scale engineering environments.
• Understanding of Spark performance optimization and data quality practices for large-scale datasets.
• Exposure to modern data engineering best practices, including observability, monitoring, and data pipeline reliability.

Education:

B.Tech/BE