Hiring: Senior Data Engineer Company: EXL Location: New York, NY Job Posted Time: 2026-09-11 07:39:58 Target Skills & Keywords : AWS, Airflow, Azure, CI/CD, Data Pipeline, Databricks, ELT, ETL, GCP, HBase, Hadoop, Hive, Infrastructure as Code, Kafka, PySpark, Python, SQL, Snowflake, Spark About the job Experience: •5-8 years of experience in Data Engineering, Big Data Engineering, or Cloud Data Platform development. •8 years of experience in Data Engineering, Big Data Engineering, or Cloud Data Platform development. Required Skills: •Design, develop, and maintain scalable data pipelines and data products supporting analytics, reporting, AI, and operational use cases. •Build and optimize ETL/ELT frameworks for large-scale data ingestion, transformation, validation, and consumption. •Develop and manage cloud-native data platforms leveraging Snowflake, AWS, Apache Airflow and modern data architectures. •Create scalable data models, data marts, semantic layers, and curated datasets that support enterprise analytics initiatives. •Optimize SQL workloads, transformation logic, and query performance to improve scalability and cost efficiency. •Establish reusable engineering frameworks, accelerators, and best practices to improve delivery consistency across projects. •Ensure high standards of data quality, reliability, governance, and observability throughout the data lifecycle. •Develop and maintain Snowflake-based data ecosystems, leveraging advanced features for performance optimization and data sharing. Qualifications: •Bachelor's or Master's degree in Computer Science, Engineering, Analytics, Mathematics, Information Systems, or related disciplines. •Strong hands-on expertise in SQL, Python, and PySpark. •Extensive experience working with Snowflake, Databricks, or similar cloud-native data platforms. •Proven experience building and supporting large-scale ETL/ELT data pipelines. •In-depth knowledge of data warehousing concepts, dimensional modeling, and modern Lakehouse architectures. •Applied hands-on capability in workflow orchestration tools such as Apache Airflow or equivalent scheduling frameworks. •Strong knowledge of performance tuning, optimization, monitoring, and operational support for data platforms. •Demonstrated experience leading engineering teams and coordinating with client and internal stakeholders. •Excellent analytical, problem-solving, communication, and stakeholder management skills. •Demonstrated capacity to work independently and lead complex initiatives in fast-paced consulting environments. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!