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Azure Databricks Developer @ CGI

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 Azure Databricks Developer

Job Description

Position Description:

Azure data bricks developer with 3-6 years of experience 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: 3-5 years of experience in Apache Spark / PySpark
  • 3-5 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
Skills:
  • ETL
  • SQL

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Platform Engineer
Employement Type: Full time

Contact Details:

Company: CGI
Location(s): Hyderabad

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Keyskills:   Databricks Pyspark Azure Data Engineering Data Pipelines Apis Big Data Version Control Elt Sql Apache Spark Data Quality Git Software Engineering Cloud Azure Data Lake Data Lake Spark Data Warehousing Data Services Etl Python

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CGI

Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-persona...