The Role
Develop and optimize SQL-based data pipelines, build staging, ODS, and warehouse layers, create file ingestion and outbound workflows, validate and reconcile data, implement incremental processing and change data capture, tune performance, and support hybrid legacy-to-cloud data warehouse migrations.
Summary Generated by Built In
🔹 About the Role
We are seeking experienced Data Engineers to develop scalable data pipelines and support enterprise data warehouse migration initiatives.
🔹 Key Responsibilities
✅ Develop and optimize SQL-based transformation pipelines
✅ Build staging, ODS, and warehouse layers
✅ Implement file ingestion and outbound file generation workflows
✅ Perform data validation, reconciliation, and delta processing
✅ Ensure data integrity and performance tuning
✅ Support legacy-to-cloud data migration
🔹 Required Skills & Experience
✔️ 5+ years of hands-on data engineering experience
✔️ Strong expertise in SQL and T-SQL
✔️ Experience with Azure Synapse / Azure Data Factory
✔️ Knowledge of file-based integration (CSV, flat files, SFTP)
✔️ Understanding of incremental load and change data capture patterns
✔️ Experience working in hybrid (on-prem + cloud) environments
Skills Required
- 5+ years of hands-on data engineering experience
- Strong expertise in SQL and T-SQL
- Experience with Azure Synapse and Azure Data Factory
- Knowledge of file-based integration, including CSV, flat files, and SFTP
- Understanding of incremental load and change data capture patterns
- Experience working in hybrid on-premises and cloud environments
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The Company
What We Do
Anblicks is a Cloud Data Analytics Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.
