PythonKey Responsibilities
● Design & Development
○ Architect and implement data ingestion pipelines using Microsoft Fabric Data Factory (Dataflows) and OneLake sources
○ Build and optimize Lakehouse and Warehouse solutions leveraging Delta Lake, Spark Notebooks, and SQL Endpoints
○ Define and enforce Medallion (Bronze–Silver–Gold) architecture patterns for raw, enriched, and curated datasets
● Data Modeling & Transformation
○ Develop scalable transformation logic in Spark (PySpark/Scala) and Fabric SQL to support reporting and analytics
○ Implement slowly changing dimensions (SCD Type 2), change-data-capture (CDC) feeds, and time-windowed aggregations
● Performance Tuning & Optimization
○ Monitor and optimize data pipelines for throughput, cost efficiency, and reliability
○ Apply partitioning, indexing, caching, and parallelism best practices in Fabric Lakehouses and Warehouse compute
● Data Quality & Governance
○ Integrate Microsoft Purview for metadata cataloging, lineage tracking, and data discovery
○ Develop automated quality checks, anomaly detection rules, and alerts for data reliability
● CI/CD & Automation
○ Implement infrastructure-as-code (ARM templates or Terraform) for Fabric workspaces, pipelines, and artifacts
○ Set up Git-based version control, CI/CD pipelines (e.g. Azure DevOps) for seamless deployment across environments
● Collaboration & Support
○ Partner with data scientists, BI developers, and business analysts to understand requirements and deliver data solutions
○ Provide production support, troubleshoot pipeline failures, and drive root-cause analysis
Required Qualifications
● 5+ years of professional experience in data engineering roles, with at least 1 year working hands-on in Microsoft Fabric
● Strong proficiency in:
○ Languages: SQL (T-SQL), Python, and/or Scala
○ Fabric Components: Data Factory Dataflows, OneLake, Spark Notebooks, Lakehouse, Warehouse
○ Data Storage: Delta Lake, Parquet, CSV, JSON formats
● Deep understanding of data modeling principles (star schemas, snowflake schemas, normalized vs. denormalized)
● Experience with CI/CD and infrastructure-as-code for data platforms (ARM templates, Terraform, Git)
● Familiarity with data governance tools, especially Microsoft Purview
● Excellent problem-solving skills and ability to communicate complex technical concepts clearly
NOTE: Candidate should be willing to take one technical round F2F from any of the branch location. (Pune/ Mumbai/ Bangalore)
Shubham Vishwakarma
Full Stack Developer - Averlon
About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
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