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.