Azure Data Engineer

Techstra is seeking an experienced Sr Azure Data Engineer with a minimum of 4-7 years' experience (ex: Data warehouse design, business intelligence reporting and Customer Information Systems) or in lieu of experience, 6-9 years equivalent combination of education and work experience.  

From the day you join, you will hit the ground running surrounded by amazing people. Here is a look at some of the expectations and responsibilities for this position:  

Responsibilities:  

• Design, test and build scalable ETL/ELT/Data pipelines using Databricks producing Data Products that support strategic priorities for our clients.

• Integrate Databricks with cloud services 

• Ingest structured and unstructured data from multiple sources (e.g., Kafka, REST APIs, databases and cloud storage). 

• Write optimized Spark SQL or PySpark code for batch and streaming data transformations. 

• Implement data cleansing, validation, and enrichment processes. 

• Optimize jobs for performance, memory management, and cost-efficiency 

• Create Technical design documents 

• Develop Technical and procedural documentation, as required 

Experience & Qualifications: 

• Databricks Platform 

• Proficient in using Databricks notebooks. 

• Delta Lake (versioning, ACID transactions). 

• Unity Catalog (data governance and lineage). 

• MLflow (for MLOps, if involved in machine learning workflows). 

• Azure Environment 

• Apache Spark 

• Deep understanding of Spark core concepts (RDDs, DataFrames, Spark SQL, Spark Streaming). 

• Performance tuning and optimization of Spark jobs. 

• Programming Languages 

• Python (PySpark): Essential for most Databricks tasks. 

• SQL: For data transformation and analysis. 

• Scala or Java: Sometimes required for advanced Spark use cases. 

• Data Engineering 

• ETL/ELT pipeline design and implementation. 

• Working with structured and unstructured data. 

• Batch vs. streaming data processing (Structured Streaming) 

• Integration with Collibra 

• DevOps & CI/CD 

• Git, Azure DevOps, or GitHub Actions. 

• Automated deployment of notebooks and workflows. 

• Data & Analytics Skills 

• Data modeling and warehousing (e.g., Star/Snowflake schema). 

• Working with BI tools (Power BI, Tableau). 

• Understanding of lakehouse architecture. 

• Security & Governance 

• Role-based access control (RBAC) and credential passthrough. 

• Data masking and audit logging. 

• Soft skills 

• Strong communication and collaboration (especially in cross-functional teams). 

• Experience writing technical design specifications for data integrations and data transformations with structured and unstructured data.  

• Problem-solving and debugging. 

• Experience with Scrum development methodology  

At Techstra Solutions, we help top companies and brands achieve the business value of Digital and Talent Transformation. We believe there are three components in successful business transformation: Business Strategy, Technology and Talent. It is the coming together of these three disciplines that enables companies to take full advantage of opportunities. It differentiates us. Our approach is holistic and all encompassing. We consider the full picture as we guide our clients on this journey.  

We are experts in transformation, business strategy, technology, innovation, and human capital management. We deliver our expertise through client consulting, innovative staffing solutions and software development. From strategy through implementation, we are dedicated to bringing our clients world-class business and talent solutions that fit strategic requirements and most importantly, deliver results.  

Equal Employment Opportunity Statement

Techstra Solutions is an equal opportunity employer. The Company makes its decisions on merit, and its policy of equal opportunity prohibits discrimination in all phases of the employment process, including, but not limited to, recruitment, hiring, promotion, selection, transfer, demotion, layoff, termination, compensation, benefits, and other terms and conditions of employment. The policy of equal opportunity applies without regard to race, color, creed, religion, gender,, sexual orientation, gender identification, pregnancy, marital status, national origin, ancestry, age, disability that can reasonably be accommodated without undue hardship, military status, veteran status, genetic predisposition or carrier status, alienage or citizenship, domestic partnership status, arrest or conviction record, status as a victim of domestic violence, or any other protected categories under federal, state, or local law. The Company also prohibits discrimination or harassment based upon the perception that a person has, or is associated with a person who has, any of these characteristics.