Lead Assistant Manager-Data Engineering-Cloud Data Engineering
Chennai · Senior
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LOW
Our tracked job listings for fa-ewjt-saasfaprod1-cx2 show limited recent activity.
First 72 hours
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Skills required
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Job description
- The ideal candidate will have strong expertise in Snowflake, Hadoop ecosystem, PySpark, and SQL, and will play a key role in enabling data-driven decision-making across the organization.
- Design, develop, and optimize robust data pipelines using PySpark and SQL.
- Implement and manage data warehousing solutions using Snowflake.
- Work with large-scale data processing frameworks within the Hadoop ecosystem.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
- Ensure data quality, integrity, and governance across all data platforms.
- Monitor and troubleshoot data pipeline performance and reliability.
- Automate data workflows and implement best practices for data engineering.
- 5+ years of experience in data engineering or related roles.
- Strong hands-on experience with Snowflake including data modeling, performance tuning, and security.
- Knowledge in PySpark for distributed data processing.
- Solid understanding of Hadoop ecosystem (HDFS, Hive, Spark, etc.).
- Advanced SQL skills for data manipulation and analysis.
- Experience with ETL tools and orchestration frameworks (e.g., Airflow, DBT).
- Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.
- Excellent problem-solving and communication skills.
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