Lead Assistant Manager-Data Engineering-Cloud Data Engineering
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Key skills for this role
About the Role
We are seeking a highly skilled and motivated Data Engineer with 5+ years of experience in designing, building, and maintaining scalable data pipelines.
Key Skills for This Role
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Responsibilities
- 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.
- - 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.
Qualifications
- 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.
- - 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.
About EXL
EXL is a global data and AI company that provides analytics, digital operations, and industry-specific services to enterprises in insurance, healthcare, banking, retail, media, and energy.
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