SQL Migration Data Engineer

Auxo Solutions•New York, NY

1h•Remote

About The Position

API & DataLakes Data Engineer (Azure) - SQL Migration What you'll do Collaborate with the delivery team on a Server 2012 to Azure SQL/Fabric Lakehouse migration, including assessment, planning, and execution Develop and optimize ETL/ELT processes to migrate legacy SQL 2012 databases to modern cloud data platforms, minimizing data loss and downtime Design and build data pipelines using Azure Data Factory, Databricks, and Microsoft Fabric Lakehouse to transform monolithic databases into distributed Lakehouse architectures Develop APIs and data services on top of Microsoft Fabric Lakehouse to expose migrated data for downstream applications and stakeholders Collaborate with infrastructure and application teams to assess legacy SQL 2012 environments, identify technical debt, and plan phased migration approaches Develop infrastructure and automation required for optimal extraction, transformation, and loading of data from SQL Server 2012 and other legacy sources using SQL, dbt, Python, and Fabric technologies Define and document cloud solution architectures, migration roadmaps, and technical designs for data modernization initiatives Generate and document unit tests, performance benchmarks, and migration validation scripts Establish data quality frameworks and governance practices for migrated data assets in Lakehouse environments

Requirements

Bachelor's Degree in Computer Science or related fiel
At least 3 years of Data Engineering experience, with 1+ years specifically in SQL Server migrations to cloud platforms
Hands-on experience with SQL Server 2012 architecture, T-SQL optimization, and migration patterns (compatibility issues, index strategies, etc.)
Proficiency in Azure Data Factory, Synapse Analytics, Azure SQL, Data Lake Storage, and Microsoft Fabric (especially Lakehouse), including data modeling, partitioning, and optimization for analytical workloads
Demonstrated experience building APIs or data services on top of Lakehouse/Delta Lake architectures
Proficiency with dbt for transformation logic and data lineage documentation
Strong command of Python, SQL, T-SQL, and scripting for automation and data validation
Experience with Azure Infrastructure-as-Code (Bicep, ARM templates, Terraform)
Experience building CI/CD pipelines for data infrastructure
Knowledge of data governance, metadata management, and data quality frameworks
Ability to work independently in Agile environments with minimal supervision on external client projects
Candidates must be able to accommodate a working schedule of 8:30am - 5:30pm EST, Monday through Friday.
We are unable to provide sponsorship for this position at this time.
Successful candidates will be subject to thorough background checks, including education, employment, and physical location verifications.

Nice To Haves

Azure Cloud Certifications strongly preferred

Responsibilities

Collaborate with the delivery team on a Server 2012 to Azure SQL/Fabric Lakehouse migration, including assessment, planning, and execution
Develop and optimize ETL/ELT processes to migrate legacy SQL 2012 databases to modern cloud data platforms, minimizing data loss and downtime
Design and build data pipelines using Azure Data Factory, Databricks, and Microsoft Fabric Lakehouse to transform monolithic databases into distributed Lakehouse architectures
Develop APIs and data services on top of Microsoft Fabric Lakehouse to expose migrated data for downstream applications and stakeholders
Collaborate with infrastructure and application teams to assess legacy SQL 2012 environments, identify technical debt, and plan phased migration approaches
Develop infrastructure and automation required for optimal extraction, transformation, and loading of data from SQL Server 2012 and other legacy sources using SQL, dbt, Python, and Fabric technologies
Define and document cloud solution architectures, migration roadmaps, and technical designs for data modernization initiatives
Generate and document unit tests, performance benchmarks, and migration validation scripts
Establish data quality frameworks and governance practices for migrated data assets in Lakehouse environments