Job Responsibilities
Design, develop, and maintain scalable data pipelines using Airflow, DBT, and Spark.
Build and optimize complex SQL queries for large-scale data processing and analytics.
Develop and manage data models in Snowflake.
Lead end-to-end implementation of data engineering initiatives independently.
Collaborate with business stakeholders, data analysts, and engineering teams to gather requirements and deliver solutions.
Ensure data quality, governance, performance tuning, and operational excellence.
Drive best practices in data architecture, coding standards, and deployment processes.
Troubleshoot production issues and provide timely resolutions.
Required Experience
Minimum 6 years of experience in Data Engineering.
Solid hands-on experience with Airflow, Snowflake, Complex SQL, and DBT/Spark.
Experience in designing and implementing enterprise-scale data solutions.
Ability to independently lead initiatives and mentor team members.
Solid analytical, problem-solving, and communication skills.
Preferred Qualifications
Experience with cloud platforms such as AWS, Azure, or GCP.
Knowledge of CI/CD, data governance, and data quality frameworks.
Exposure to Agile development methodologies.
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📌 Data Engineer Lead New Delhi
🏢 Sigma Allied Services
📍 New Delhi
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