Agent
Jobs
Applied
Tracker
Profile
    1. Jobs for you
    2. Job

    Job · 19594936

    PUNE · FULLTIME

    Azure Data Engineer - Databricks & Snowflake

    Persistent Systems logo

    Persistent Systems

    Pune · onsite · Posted 22d ago

    Sourced fromNaukri
    Undisclosed3–7 yrsfulltimePune

    About a minute. You'll make an account on the way through.

    agent · working

    • Read this posting0.6s
    • Found the form on Naukri · 5 questions to answer1.8s
    • Decided the answers for all of them2.3s
    • Tailor your résumé to this role
    • Waiting for you

    Section · 01

    About this role

    About Position:


    We are looking for an experienced Azure Data Engineer with strong expertise in Azure Databricks, Snowflake, PySpark, and SQL to design, develop, and optimize modern cloud-based data platforms. The ideal candidate will play a critical role in building scalable data pipelines, implementing enterprise data warehousing solutions, and enabling advanced analytics and business intelligence initiatives across Azure and Snowflake ecosystems.


    • Role: Azure Data Engineer - Databricks & Snowflake
    • Location: Pune, Bengaluru, Chennai
    • Experience: 3 to 8 Years
    • Job Type: Full-Time Employment

    What You'll Do:


    • Design, develop, and maintain scalable data pipelines using Azure Databricks and PySpark.
    • Build, optimize, and support ETL/ELT workflows for processing large volumes of structured and unstructured data.
    • Develop and manage Snowflake data warehouse solutions, including data modeling, transformation, and performance optimization.
    • Create reusable frameworks for data ingestion, data transformation, orchestration, and data validation.
    • Integrate data from various enterprise systems, databases, APIs, and cloud platforms into Azure Data Lake and Snowflake environments.
    • Implement and maintain Delta Lake architectures to support scalable and reliable data processing.
    • Optimize data processing workloads for performance, scalability, reliability, and cost efficiency.
    • Collaborate with business stakeholders, architects, analysts, and data science teams to deliver business-driven data solutions.
    • Implement data governance, data quality, security, and monitoring best practices.
    • Troubleshoot production issues related to data pipelines, Snowflake environments, and cloud data platforms.
    • Participate in code reviews, automation initiatives, CI/CD implementations, and deployment activities.
    • Support data platform modernization initiatives and continuous improvement programs.

    Expertise You'll Bring:


    • 8-12 years of experience in Data Engineering and Cloud Data Platform development.
    • Strong hands-on expertise in Azure Databricks, PySpark, Spark SQL, and Delta Lake.
    • Proven experience with Snowflake including data loading, transformations, data sharing, and performance optimization.
    • Strong proficiency in SQL for complex query development, troubleshooting, and performance tuning.
    • Experience with Azure services such as Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2), Azure Key Vault, and Azure DevOps.
    • Strong understanding of data warehousing concepts, dimensional modeling, ETL/ELT architecture, and Lakehouse architecture.
    • Experience developing and supporting enterprise-scale data pipelines and analytics platforms.
    • Knowledge of data governance, data quality management, and cloud security best practices.
    • Experience with Git, CI/CD pipelines, DevOps practices, and Agile delivery methodologies.
    • Strong analytical, debugging, troubleshooting, and problem-solving skills.
    • Ability to work independently and collaborate effectively across distributed teams.
    • Excellent communication and stakeholder management skills.

    Benefits:


    • Competitive salary and benefits package
    • Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
    • Opportunity to work with cutting-edge technologies
    • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
    • Annual health check-ups
    • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

    Values-Driven, People-Centric & Inclusive Work Environment:


    Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.


    • We support hybrid work and flexible hours to fit diverse lifestyles.
    • Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
    • If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

    Let's unleash your full potential at Persistent - persistent.com/careers


    "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

    Sourced from naukri

    Section · 02

    Skills

    Snowflake and PySparkPythonAzure Databricks

    Section · Company

    About Persistent Systems

    Persistent Systems logo

    Persistent Systems

    IT Services & Consulting

    22.2k+

    employees

    1990

    36 years old

    Pune, Maharashtra

    India

    About

    With 23,900+ global team members across 19 countries, Persistent is a global services and solutions company delivering Digital Engineering and Enterprise Modernization.

    Industries

    IT Services & ConsultingTelecomFinTechHealthcareEmerging TechnologiesSoftware Product

    Employee ratings

    5,043 reviews

    3.6/ 5

    Culture

    3.5

    Career growth

    3.0

    Work-life

    3.6

    Employees rate it well for

    Work Life Balance750Work Culture670Salary551Job Security439Senior Management397

    Find them on

    WebsiteLinkedInAmbitionBox reviews

    Azure Data Engineer - Databricks & Snowflake · waiting for your command