Software Engineer /Senior Software Engineer - Azure Data Brick with ETL and Power BI

Position Description

Company:

Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com.

Position: Software Engineer /Senior Software Engineer - Azure Data Brick with ETL and Power BI

Experience: 3-6 years

Category: Software Development/ Engineering

Shift Timing: 12:00 PM to 10:00 PM

Location: Chennai /Bangalore/Hyderabad/Pune/Mumbai

Position ID: J1125-1382

Employment Type: Full Time

The ETL Developer will be responsible for designing, developing, and implementing robust and scalable data architectures and ETL solutions. This role requires expertise in Databricks for data processing and Lakehouse architecture, Kimball dimensional modelling for data warehousing, and Power BI and Microsoft Fabric for data visualization and analytics platform implementation. As an ETL Developer, you will design, develop and implement scalable, secure, and high-performance data solutions using the Databricks Lakehouse Platform. You will work with ETL Architects to on architectural standards and collaborate with stakeholders to align data strategies with business goals. Your role will focus on leveraging Databricks’ unified analytics capabilities to build enterprise-grade data platforms that support advanced analytics, machine learning, and real-time data processing.

Your future duties and responsibilities

Develop and build ingestion, transformation, storage, and consumption layers on Databricks

• Develop and maintain data models, data flow diagrams, and other solution documentation based on Kimball dimensional modelling principles.
• Develop and implement Lakehouse solution using Delta Lake, Unity Catalog, and structured streaming.
• Proven experience in implementing data governance using Unity Catalog, including fine-grained access control, column-level lineage, data classification, audit logging, and centralized metadata management across workspaces and cloud environments
• Develop scalable ETL/ELT pipelines using Apache Spark, PySpark, and Databricks Workflows.
• Development of integration of Databricks with enterprise systems such as data catalogs, data quality frameworks, ML platforms, and BI tools.
• Design and development of high-performance reporting models and paginated reports, configurable inquiries and interactive dashboards using Power BI.
• Experience with CI/CD pipelines, version control, and automated testing for Databricks notebooks and jobs.
• Experience in performance tuning and cluster configuration.
• Participate in architectural reviews, code audits, to ensure adherence to standards and scalability.
• Collaborate closely with clients, business stakeholders, and internal teams to translate business requirements into technical solutions.
• Stay current with Databricks innovations and advocate for adoption of new features and capabilities.

Required Qualifications To Be Successful In This Role Education Qualification: Bachelor’s degree in computer science or related field or higher with minimum 3 years of relevant experience.

3 to 6 years of experience in ETL/Power BI, with 3+ years in Databricks and Apache Spark. Strong proficiency in SQL & DAX

• Experience in project migrating Snowflake and other custom EDW/ ETL solutions to Databricks.
• Experience of migrating different reporting solutions like Cognos, SAP BO etc to Power BI and Databricks.
• Experience with Kimball dimensional modelling and data warehousing concepts
• Experience in designing and deploying ETL/ELT pipelines for large-scale data integration.
• Proficiency in Power BI for paginated report and dashboard development, including DAX.
• Strong experience in Delta Lake, structured streaming, PySpark, and SQL.
• Strong understanding of Lakehouse architecture, data mesh, and modern data stack principles.
• Experience with Unity Catalog, Dat…