Azure Databricks Developer

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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
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.

Must Have Skills:

Strong hands-on experience with Azure Databricks
Proficiency in Apache Spark (PySpark / Scala / SQL)
Experience in building ETL/ELT pipelines
Strong knowledge of Azure Data Services (Data Factory, ADLS, Synapse)
Good understanding of data warehousing concepts
Experience with SQL and performance tuning
Knowledge of Python or Scala
Experience with version control tools like Git
Understanding of data partitioning, optimization, and caching techniques

Good to Have Skills:
Experience with Delta Lake and data lake architecture
Exposure to streaming technologies (Azure Event Hub, Kafka, Spark Streaming)
Knowledge of CI/CD pipelines and DevOps practices
Experience with orchestration tools like Airflow
Familiarity with Power BI or other visualization tools
Understanding of data governance and security (RBAC, data masking)
Experience in handling large-scale distributed systems
Exposure to multi-cloud environments

CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs.

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