- 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.
Skills Required
- 5+ years of experience in data engineering or related roles
- Strong hands-on Snowflake experience, including data modeling, performance tuning, and security
- Knowledge of PySpark for distributed data processing
- Solid understanding of the Hadoop ecosystem, including HDFS, Hive, and Spark
- Advanced SQL skills for data manipulation and analysis
- Experience with ETL tools and orchestration frameworks such as Airflow or dbt
- Familiarity with AWS, Azure, or GCP
- Excellent problem-solving and communication skills
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
