Verified today
Lead Assistant Manager-Data Engineering-Cloud Data Engineering
About the role
We are seeking a highly skilled Data Engineer with 5+ years of experience in designing, building, and maintaining scalable data pipelines, proficient in Snowflake, PySpark, Hadoop, and SQL, to enable data-driven decision-making across the organization.
What you’ll do
- Design, develop, and optimize data pipelines with PySpark and SQL.
- Implement and manage Snowflake data warehousing solutions.
- Work with Hadoop ecosystem for large‑scale data processing.
- Collaborate with data scientists and stakeholders on data needs.
- Ensure data quality, integrity, and governance across platforms.
- Monitor and troubleshoot pipeline performance and reliability.
- Automate data workflows and apply best engineering practices.
What you’ll bring
- 5+ years in data engineering or related roles.
- Hands‑on Snowflake data modeling, tuning, and security.
- Proficient in PySpark for distributed processing.
- Solid Hadoop ecosystem knowledge (HDFS, Hive, Spark).
- Advanced SQL for data manipulation and analysis.
- Experience with ETL tools and orchestration (Airflow, DBT).
- Familiar with AWS, Azure, or GCP cloud platforms.
- Strong problem‑solving and communication skills.
Skills
Education
Bachelor's Degree