Lead Assistant Manager-Data Engineering-Cloud Data Engineering
Hybrid Chennai Full-time Senior Data Engineering
At a glance
Senior Data Engineering role at Fa Ewjt Saasfaprod1. Chennai · full-time.
Pay not stated Data Engineering salary
RoleData Engineering
SenioritySenior
LocationChennai
WorkplaceHybrid
EmploymentFull-time
PostedOct 23, 2025
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build and tune data pipelines with PySpark and SQL to support data processing needs
- Set up and maintain Snowflake warehouses, including their data models and performance
- Process large datasets using tools from the Hadoop ecosystem
- Clarify data needs with data scientists, analysts and business stakeholders
- Check data quality and governance, troubleshoot pipeline reliability, and automate workflows
What you bring
- At least five years in data engineering or a related role
- Hands-on Snowflake skills covering data modeling, performance tuning and security
- Working knowledge of PySpark and the Hadoop ecosystem, plus advanced SQL ability
- Experience with ETL and orchestration tools such as Airflow or DBT
Who this fits
This role suits a senior data engineer comfortable working across Snowflake, distributed processing and SQL. The position is hybrid in Chennai.
From the employer
- 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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