Position: Senior MS Fabric Data Engineer - Azure
Location: St Louis, MO - Fully Onsite
Experience in the Financial or Banking Sector - Mandatory
Job SummaryThe ideal candidate will have a deep understanding of Microsoft data services, including Azure Fabric, Azure Data Factory (ADF), Azure Synapse, and ETL/ELT processes. This role focuses on designing, developing, and maintaining cloud-based data pipelines and solutions to drive our analytics and business intelligence capabilities.
- Lead modernization of legacy data platforms, migrating ETL/ELT and ingestion frameworks to cloud (Azure/AWS).
- Own end-to-end data solution architecture, ensuring scalability, security, and business alignment.
- Provide technical leadership, mentoring teams and enforcing best practices.
- Drive decision-making in ambiguous environments, proactively mitigating risks and constraints.
- Implement data governance, security, and compliance frameworks (PII, regulatory standards).
- Collaborate with stakeholders to translate business needs into scalable data solutions.
- Architect and integrate data from multiple sources into high-performing cloud platforms.
- Design and optimize ETL/ELT pipelines using ADF, Databricks, Spark, and SSIS.
- Partner with analytics and BI teams to support reporting and advanced analytics use cases.
- Ensure data quality through profiling, validation, and monitoring processes.
- Establish CI/CD and DevOps practices for data engineering workflows.
- Monitor and optimize pipeline performance, scalability, and cost efficiency.
- Lead testing (unit, system, integration) and maintain comprehensive documentation.
- Drive continuous improvement and innovation across tools, frameworks, and architecture.
Required Skills and Qualifications: - 12+ years of experience in designing and implementing data warehouse and analytics solutions (on-premises and cloud).
- Expertise in data warehousing concepts (ETL/ELT, data quality management, privacy/security, MDM) with hands-on experience using ADF, Data Factory, SSIS, and related tools.
- Experience with cloud data and cloud-native data lakes/warehouses. Microsoft Azure services (Fabric Lakehouse, ADF, Data Factory, Synapse, etc.).
- Experience in Python, Scala, or Java for use with distributed processing and analytics, such as Spark.
Familiarity with CI/CD practices and tools such as Azure DevOps, Git, or Jenkins.
Regards,Manoj GoudDerex Technologies INCQualificationsAdditional Information 
