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Posted 18 May, 2026

Azure Data Engg

Diverse Lynx
Bengaluru,,Karnataka,560063 Full Time
Reference: 365_569689_25-04086
Azure Data Engg –
Number of Openings 5
No of years' experience 3- 5 yrs
Detailed job description - Skill Set: Provided below
Mandatory Skills(ONLY 2 or 3) PySpark & Azure
Work Location Hyderabad, Trivandrum
WFO/WFH/Hybrid WFO Hybrid WFO
Joining time ( Notice period) Immediate
Is there any working in shifts from standard Daylight (to avoid confusions post onboarding) YES/ NO No

Detailed Job Description:
  • Data Pipeline Development:
    • Design, build, and optimize scalable and resilient ETL/ELT pipelines using Azure Databricks (PySpark, Scala, SQL) for batch and streaming data processing.
    • Ingest data from diverse sources (e.g., relational databases, APIs, cloud storage, streaming platforms) into Azure Data Lake Storage (ADLS) and other Azure data services.
    • Implement data transformations, aggregations, and quality checks within Databricks notebooks and jobs.
    • Work with various data formats like Delta Lake, Parquet, Avro, JSON, and CSV.
  • Azure Cloud & Data Services:
    • Leverage a wide range of Azure data services, including Azure Data Factory (ADF) for orchestration, Azure Synapse Analytics, Azure SQL Database, Azure Event Hubs, Azure Stream Analytics, and Azure Cosmos DB.
    • Design and manage data storage solutions in ADLS (Gen1/Gen2) and ensure optimal data partitioning and indexing.
    • Monitor and optimize the performance and cost-efficiency of Azure data solutions.
  • DevOps & CI/CD:
    • Implement and maintain CI/CD pipelines using Jenkins to automate the build, test, and deployment of data engineering solutions to Azure Databricks workspaces.
    • Manage source code effectively using Git (e.g., GitHub, Azure DevOps Repos, GitLab), including branching strategies, pull requests, and code reviews.
    • Ensure code quality, testability, and adherence to best practices through automated testing and linting.
    • Collaborate with DevOps teams to streamline deployment processes and infrastructure as code (IaC) where applicable.
  • Data Governance & Security:
    • Implement data security, privacy, and compliance best practices within Azure and Databricks environments.
    • Work with Azure Active Directory (AAD) for access management and secure data access.
    • Ensure data quality, integrity, and reliability across all data pipelines.
  • Collaboration & Communication:
    • Collaborate closely with data scientists, data analysts, business stakeholders, and other engineering teams to understand data requirements and deliver robust solutions.
    • Provide technical leadership, mentorship, and support to junior data engineers.
    • Document data architectures, pipelines, and technical specifications clearly and concisely.
    • Participate in agile development methodologies (Scrum/Kanban).
  • Troubleshooting & Optimization:
    • Monitor production data pipelines for performance, reliability, and data quality issues.
    • Perform root cause analysis and implement solutions for production incidents.
    • Continuously identify opportunities for performance tuning and optimization of data processes.

Required Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related quantitative field.
  • 3 - 5 years of experience in data engineering, with a strong focus on building and maintaining large-scale data solutions.
  • Proficiency in Azure: Extensive hands-on experience with key Azure data services, including Azure Databricks, Azure Data Factory, Azure Data Lake Storage, and Azure SQL Database.
  • Expertise in Databricks: Strong experience with Apache Spark (PySpark, Scala) for data processing and transformation within Databricks. Familiarity with Delta Lake is essential.
  • Version Control: Expert-level proficiency with Git for source code management.
  • CI/CD: Hands-on experience designing, implementing, and maintaining CI/CD pipelines using Jenkins.
  • Programming Languages: Strong programming skills in Python is a must. Experience with Scala or Java is a plus.
  • SQL: Advanced SQL scripting and query optimization skills.
  • Data Warehousing: Solid understanding of data warehousing concepts, data modeling (dimensional modeling, Kimball/Inmon), and ETL/ELT principles.
  • Problem-Solving: Excellent analytical and problem-solving skills with a keen eye for detail.
  • Communication: Strong verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.

Preferred Qualifications (Nice to Have):
  • Azure Data Engineer Associate (DP-203) or Databricks Certified Data Engineer certifications.
  • Experience with other big data technologies like Kafka, Hadoop, or Snowflake.
  • Familiarity with other CI/CD tools (e.g., Azure DevOps Pipelines, GitHub Actions).
  • Experience with Infrastructure as Code (e.g., Terraform).
  • Knowledge of monitoring tools like Azure Monitor, Splunk, or similar.
  • Experience working in an Agile/Scrum environment.

Location- Hyderabad/Trivandrum
Yrs of Exp-3+Yrs

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