njoyn
Azure Databricks Developer
CGI
Bengaluru, IND
Full-time
Mid · 3+ years experience
Onsite
Discovered 3 weeks ago
Azure DatabricksPySparkApache SparkAzure Data LakeSQLAzure Data Factory (ADF)
Free
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Azure DatabricksPySparkApache Spark
Key Skills for This Role
Azure DatabricksPySparkApache SparkAzure Data LakeSQLAzure Data Factory (ADF)
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Position Description:
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. Job Title: Azure Databricks Developer Position: Software Engineer Experience: 4-5 Years Category: Software Development/ Engineering Main location: India, Bangalore / Chennai Position ID:JJ0925-0281 Shift Time : 1pm to 10pm Employment Type: Full Time Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 3 years of relevant experience. #LI-SK38
Your future duties and responsibilities:
- Your future duties and responsibilities We are seeking a skilled Azure Databricks Developer to design, develop, and optimize big data pipelines using Databricks on Azure. The ideal candidate will have strong expertise in PySpark, Azure Data Lake, and data engineering best practices in a cloud environment. Key Responsibilities: Design and implement ETL/ELT pipelines using Azure Databricks and PySpark. Work with structured and unstructured data from diverse sources (e.g., ADLS Gen2, SQL DBs, APIs). Optimize Spark jobs for performance and cost-efficiency. Collaborate with data analysts, architects, and business stakeholders to understand data needs. Develop reusable code components and automate workflows using Azure Data Factory (ADF). Implement data quality checks, logging, and monitoring. Participate in code reviews and adhere to software engineering best practices. Required Skills & Qualifications: 5+ years of experience in Apache Spark / PySpark.#LI-SK38 5+ years working with Azure Databricks and Azure Data Services (ADLS Gen2, ADF, Synapse). Strong understanding of data warehousing, ETL, and data lake architectures. Proficiency in Python and SQL. Experience with Git, CI/CD tools, and version control practices.
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