Azure Data Engineer

Position Description:

Position Description
At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72, professionals located in 40 countries. Founded in , CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72, professionals located in 40 countries. Founded in , CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please.

Job Title: Azure Databricks Engineer
Position: Software Engineer / Senior Software Engineer
Experience: 4 - 5 Years
Category: Software Development/ Engineering
Main location: India, Bangalore / Hyderabad
Position ID:J-
Employment Type: Full Time

Your future duties and responsibilities:

trong experience in Azure Functions, Azure Data Factory, Azure Sql, Azure Key Vault
. Strong Experience in Azure Data Bricks, Notebooks, ADLS, Delta Lake
. Experience in building data pipelines and analysis tools using Python, PySpark, Scala, SQL
. Proficient in integrating, transforming, and consolidating data from various structured and unstructured data.
. Knowledge on Autosys jobs, Batch scripts
. Hands on experience in using Agile methodology, Azure DevOps(CI/CD Pipeline)
. Knowledge on Streaming platforms (Kafka, Solace queue), Azure App Services, Azure Stream Analytics, Power BI
. Knowledge on Ability to work independently as well as in a team

Roles & Responsibilities:

. Design and implement storage solutions using Azure services such as Azure SQL and Azure Data Lake Storage.
. Design and implement ETL using ADF data pipelines to move and transform data from various sources into cloud-based data warehouses
. Implement business solution using Azure DataBricks.
. Align with DevOps strategy to promote the code to Production.
. Think out of the solution to create reusable Databricks components
. Should have working experience in migration and modernization projects
. Involve in due diligence phases to transform the requirements to implementation

Required qualifications to be successful in this role:

Skill : ABD, ADL, Pyspark
Exp : 4 to 5 Yrs

Skills: