
Senior Data Engineer
Posted Oct 16

Posted Oct 16
This is a fully remote position, open to applicants in New Jersey.
• Design and create ETL/ELT pipelines utilizing Azure Data Factory, Snowflake, and DBT.
• Develop and sustain data integration workflows from diverse data sources to Snowflake.
• Craft efficient and optimized SQL queries for data extraction and transformation purposes.
• Collaborate with stakeholders to comprehend business needs and convert them into technical solutions.
• Oversee, troubleshoot, and enhance data pipelines for improved performance and reliability.
• Uphold and implement data quality, governance, and documentation standards.
• Partner with data analysts, architects, and DevOps teams within a cloud-native environment.
• Bachelor’s or master’s degree in computer science, Data Engineering, Information Systems, or a related discipline.
• Over 5 years of experience in data engineering positions utilizing Azure and Snowflake.
• Strong expertise with Azure Cloud Platform services.
• Demonstrated proficiency in Azure Data Factory (ADF) for orchestrating and automating data pipelines.
• Skilled in SQL for data analysis and transformation tasks.
• Practical experience with Snowflake and SnowSQL for data warehousing solutions.
• Familiarity with DBT (Data Build Tool) for data transformation within the warehouse.
• Experience in cloud-based data environments handling large-scale datasets.
• Work From Home arrangement is available.
• Access to benefits information can be found at https://www.exlservice.com/us-careers-and-benefits.
• Base salary range of $90,000–$110,000.
• Possibility of compensation exceeding the posted range for higher-cost regions such as California, New York, and New Jersey.
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