Engineering Manager - Data Engineering

Job Description : - Design/implement complex and scalable enterprise data processing and BI reporting solutions. - Design, document & implement the data pipelines to feed data models for subsequent consumption in Snowflake using DBt, and airflow. - Ensure strict data compliance, security, and cost optimization. Re-architect data solutions for scalability, reliability, and resilience. - Manage data schemas and flow to ensure compliance, integrity, and security. - Deliver end-to-end data solutions across multiple infrastructures and applications. - Actively monitor and triage technical challenges in critical situations that require immediate resolution. - Develop relationships with external stakeholders to maintain awareness of data and security issues and trends. - Review work from other tech team members and provide feedback for growth. - Effectively mentor and develop your team members. Must Have - 7-9 years of experience in a data engineering role with an engineering degree in background. - Expertise in writing SQL and database objects Stored procedures, functions, and views. - Hands-on experience in ETL/ELT and data security, SQL performance optimization, and job orchestration tools and technologies e.g., DBt, APIs, Apache Airflow. - Knowledge of data warehouses (Redshift, Snowflake, Databricks, Cloudera). - Proficient in Python scripting, PySpark, and Spark. - Experience with data ingestion, storage, and consumption. - Skilled in SQL and data schema management. - Excellent leadership, communication, and interpersonal skills, with the ability to build and motivate high-performing teams. - Strong project management skills, with experience in defining project scope, objectives, and deliverables, developing project plans, and managing project budgets and resources. - Domain knowledge of the pharma landscape is a plus. (ref:hirist.tech)

Location: pune, IN

Posted Date: 3/29/2025