Sr. Data Engineer(NCS/Job/ 1903)

Design, develop, and manage robust, scalable, and secure ETL/ELT pipelines using modern tools (e.g., Snowflake, Databricks, DBT, Airflow).

· Collaborate with data analysts, data scientists, and business stakeholders to gather data requirements and translate them into technical solutions.

· Build and maintain data models, data marts, and data lakes to support BI and ML workloads.

· Ensure data quality, consistency, and governance across platforms.

· Optimize performance of data workflows, queries, and storage.

Technical Skills:

· Proficiency in SQL and programming languages like Python or Scala.

· Hands-on experience with cloud data platforms (e.g., Snowflake, Azure, AWS, GCP).

· Strong understanding of data warehousing concepts, dimensional modeling, and data architecture.

· Familiarity with orchestration tools (e.g., Airflow, Prefect) and CI/CD workflows.

· Experience with data governance, cataloging, and security practices.

· Excellent problem-solving and communication skills.

· Implement monitoring, alerting, and documentation for data pipelines.

· Guide and mentor junior engineers and contribute to code reviews and architecture discussions.

· Support the integration of structured and unstructured data from various internal and external sources (e.g., SAP, Salesforce, IoT, APIs).