6.0 - 11.0 years

22 - 37 Lacs

gurugram, chennai, bengaluru

Work from Office

Why Choose Decision Point At Decision Point , we empower data-driven transformation by delivering innovative, scalable, and future-ready analytics solutions. With a proven track record in the CPG, Retail, and Manufacturing industries, we combine deep domain expertise with cutting-edge technologies to enable smarter decisions at every level of the enterprise. By joining our team, youll be part of a collaborative culture that values creativity, learning, and continuous improvement. We offer opportunities to work on high-impact projects with global clients, and leverage the latest cloud and data engineering tools to solve real-world business challenges. Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using tools such as PySpark , SQL , Python , and DBT . Lead the data ingestion and transformation processes from multiple sources into cloud data platforms (Azure, AWS, Snowflake). Architect and implement data models , ensuring data consistency, integrity, and performance optimization. Oversee data architecture initiatives and contribute to best practices in data engineering, data quality, and governance. Implement and manage cloud services (Azure Data Factory, Azure Synapse, AWS Glue, S3, Lambda, etc.). Collaborate with cross-functional teams including data scientists, BI developers, and product owners. Provide technical leadership and mentorship to junior engineers and analysts. Monitor and troubleshoot data pipelines to ensure reliability and performance. Key Skills and Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or related field. 7+ years of experience in Data Engineering or related roles. Proficiency in Python , SQL , and PySpark . Strong experience with cloud platforms : Azure and/or AWS . Hands-on experience with ETL development , data pipeline orchestration , and automation . Solid understanding of data modeling (Dimensional, Star/Snowflake schema). Experience with Snowflake , DBT , and modern data stack tools. Familiarity with CI/CD pipelines , version control (Git), and agile methodologies. Excellent communication, problem-solving, and leadership skills.

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