Python Developer

• Develop using Python programming and data engineering practices
• Work with Databricks notebooks, Spark, and data processing
• Use AWS services including S3, Glue, Lambda, and Redshift
• Develop, optimize, and troubleshoot data pipelines
• Build and manage ETL/ELT pipelines and data transformations
• Apply data warehousing and data integration concepts

• 5–6 years of experience
• Strong hands-on experience in Python programming and data engineering
• Good exposure to Databricks, including notebooks, Spark, and data processing
• Experience with AWS services such as S3, Glue, Lambda, and Redshift
• Knowledge of PySpark, SQL, ETL/ELT pipelines, and data transformation
• Experience developing, optimizing, and troubleshooting data pipelines
• Understanding of data warehousing concepts and data integration
• Good analytical, problem-solving, and communication skills
• Experience with Databricks on AWS (preferred)
• Knowledge of Delta Lake and data pipeline orchestration (preferred)
• Exposure to Git and CI/CD practices (preferred)

• Remote work arrangement