Associate Process Manager - Data Engineering

As an Associate Process Manager at our company, your role will involve designing, building, and maintaining scalable data pipelines and data solutions. You will collaborate closely with analytics, data science, and business teams to ensure the delivery of high-quality and reliable data. Key Responsibilities: - Design, develop, and maintain data pipelines and ETL/ELT processes - Write complex and optimized SQL queries for data extraction, transformation, and analysis - Develop data processing and automation scripts using Python - Ensure data quality, integrity, and reliability across systems - Work with structured and semi-structured data from multiple sources - Optimize data models and database performance - Collaborate with stakeholders to understand data requirements and deliver solutions Qualifications Required: - Strong experience in SQL (complex joins, performance tuning, query optimization) - Strong hands-on experience in Python for data engineering and automation - Experience with data modeling and warehousing concepts - Knowledge of ETL/ELT frameworks and workflows - Experience handling large datasets - Understanding of data quality, validation, and monitoring practices Good to Have: - Experience with cloud platforms (AWS/GCP/Azure) - Exposure to big data technologies (Spark, Hadoop) - Experience with orchestration tools (Airflow, Prefect) - Knowledge of version control systems (Git) As an Associate Process Manager at our company, your role will involve designing, building, and maintaining scalable data pipelines and data solutions. You will collaborate closely with analytics, data science, and business teams to ensure the delivery of high-quality and reliable data. Key Responsibilities: - Design, develop, and maintain data pipelines and ETL/ELT processes - Write complex and optimized SQL queries for data extraction, transformation, and analysis - Develop data processing and automation scripts using Python - Ensure data quality, integrity, and reliability across systems - Work with structured and semi-structured data from multiple sources - Optimize data models and database performance - Collaborate with stakeholders to understand data requirements and deliver solutions Qualifications Required: - Strong experience in SQL (complex joins, performance tuning, query optimization) - Strong hands-on experience in Python for data engineering and automation - Experience with data modeling and warehousing concepts - Knowledge of ETL/ELT frameworks and workflows - Experience handling large datasets - Understanding of data quality, validation, and monitoring practices Good to Have: - Experience with cloud platforms (AWS/GCP/Azure) - Exposure to big data technologies (Spark, Hadoop) - Experience with orchestration tools (Airflow, Prefect) - Knowledge of version control systems (Git)