Primary Skills
- AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions
Specialization
- Azure Data Engineering Advanced: Senior Data Engineer
Job requirements
- Primary Duties and Responsibilities: · 10+ years of SQL Server ETL Development experience using SSIS, Azure Data Factory and Azure Databricks. Strong ETL, data warehouse, T-SQL skills. · Understanding of data warehouse and data mart architecture, and Kimball methodology. · 8+ years of strong hands-on experience building large-scale databases · Design, build and launch efficient & reliable data pipelines to move and transform data · Broad understanding and experience of data modeling, data management, ETL and BI · Experience in building enterprise data warehousing with table partitioning, encryption and data compression · Experience with cloud migration · Perform ongoing monitoring, automation and refinement of reports and BI solutions. · Work with BI Management to identify and resolve data related issues. · Work with business departmental teams to help them define and document business requirements for new metrics and reports. · Participate in process reviews and enhancements. · Provide analysis and issue resolution on business reported concerns. · Participate in design and delivery of cubes, dashboards and various self-service business intelligence solutions. Other: · Enforces established documentation guidelines and best practices. · Maintains a high degree of business functional knowledge and current automated technologies and tools. · Adheres to all policies and procedures concerning all confidential information including but not limited to internal use and restricted information Qualifications: Required · 7+ years of experience in working as Data Engineer for Enterprise DWH and BI project for both on prem and cloud (Azure) with minimum of 3+ years of hands-on experience in working on Microsoft Technologies (SQL Server, Synapse, SSIS, Data Factory, Data Bricks) · Hands on experience on scripting language python, C# or equivalent · Advanced level experience on MS SQL Server, MySql , or Oracle · Experience with Big Data Technologies (NoSQL databases, Hive, Hbase , Pig or Spark) · Exposure and hands on exposure to ETL using SSIS, Data Factory · Experience and detailed knowledge with Master Data Management, ETL, Data Quality, metadata management, data profiling, micro-batches, streaming data loads. · Experience of using one/more scalable (MPP) relational databases such as Synapse or Snowflake for advanced analytics · Working knowledge of application and system availability, scalability and distributed data platforms · Strong experience in data warehousing technologies, ETL/ELT implementations · Knowledge and experience with full SDLC lifecycle · Experience with Lean / Agile development methodologies · Experience in providing technical leadership and other engineers for the best practices on the data engineering space. Desired · Experience in defining new architectures and ability to drive an independent project from an architectural stand point · Familiarity with data modeling and ETL tools such as Erwin, Talend etc. · Support users with troubleshooting, tuning queries (partition, bucket recommendations etc.), · Experience with design and implementation of ETL/ELT framework for complex warehouses/marts. Knowledge of large data sets and experience with performance tuning and troubleshooting · Hands-on development mentality, with a willingness to troubleshoot and solve complex problems · CI / CD exposure · Excellent verbal and written communication skills
Skills Required
- 10+ years of SQL Server ETL Development experience using SSIS, Azure Data Factory and Azure Databricks
- Strong ETL, data warehouse, T-SQL skills
- 8+ years of strong hands-on experience building large-scale databases
- 7+ years of experience in working as Data Engineer for Enterprise DWH and BI project
- Hands on experience on scripting language python, C# or equivalent
- Advanced level experience on MS SQL Server, MySql , or Oracle
- Experience with Big Data Technologies
- Experience and detailed knowledge with Master Data Management, ETL, Data Quality
- Strong experience in data warehousing technologies, ETL/ELT implementations
- Experience with Lean / Agile development methodologies
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
Brillio Insights
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.







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