Sr Data Engineer

2 weeks ago

Frisco, TX, United States Apolis Full time
Sr Data Engineer
Work site: Frisco, TX (Onsite)

Job Description
Design, implement, and maintain large-scale ETL/ELT pipelines for structured and unstructured data.
• Optimize data workflows for performance, reliability, and scalability.
• Implement robust data validation, monitoring, and error-handling processes.
• Design and maintain data warehouses, data lakes, and large-scale storage solutions.
• Develop and enforce data modeling, schema design, and metadata management standards.
• Collaborate with architects to define long-term data strategy.
• Partner with data scientists, analysts, and product teams to understand data requirements.
• Mentor junior data engineers and share best practices for coding, data modeling, and pipeline optimization.
• Facilitate knowledge sharing and technical guidance within the data engineering team.
• Collaborate with DevOps teams to deploy and monitor data pipelines in production.
• Troubleshoot and resolve pipeline, storage, or performance issues.
• Ensure high availability and reliability of critical data infrastructure.
• Implement data governance, quality, and compliance best practices
DW/BI development experience in large-scale warehouse program with mandatory 2+ years of hands-on Azure and Snowflake data platform experience
• Data Engineering/Development experience with hands-on in writing complex SQL, stored procs in Snowflake DB
• Work with business teams and technical analysts to understand business requirements.
• Experience working with different data storage options including Azure BLOB storage, ADLS Gen 2, Key vaults and Databricks Delta Lakehouse
• Experience with Azure Data Factory-based data flow orchestration & execution.
• Databricks hands on experience is must
• Strong development hands-on background in creating Snow pipe, and complex data transformations and manipulations using Data Pipelines, SQL Procedures
• Hands-on experience with Snowflake external tables concepts, Staging, Snow scheduler & performance tuning.
• Teradata working experience is plus
• Past working experience in a fast-paced and agile environment
• Perform ongoing monitoring, automation, and refinement of data engineering solutions
• Good to have working experience with on-shore / off-shore/ near-shore model

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