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Skills Required

azure databricks data drive pyspark python sql design storage retrieval automate ansible code git gitlab analyze analytics support efficiency engineering integration architecture software development strategies logical

Work Mode

On-site

Job Type

Full Time

Job Description

Position- Azure Databricks_ Data Engineer Location- Hyderabad Experience-5-9 years Notice period- Immediately Joining/0-15 Days/0-30 Days Interview Date- 6th-June-25 Interview Mode- Virtual Drive Role & Responsibility Experience in AzureDatabricks, Pyspark, Python , SQL Hands on exp in Azure data factory, data bricks Design, implement, and manage data solutions on Azure Develop and maintain data pipelines using Databricks Ensure efficient data storage and retrieval using Azure Storage and Data Lake Automate infrastructure and application deployments with Ansible Write clean, maintainable code in Python Collaborate with team members using Git and GitLab for version control and CI/CD Gather and document business requirements through stakeholder interviews and workshops Analyze and translate business needs into technical specifications Apply data analytics to interpret data and support business decisions Communicate effectively with stakeholders to manage expectations and provide project updates Continuously seek opportunities to improve processes and drive efficiency Share and contribute: Support and guide less senior team members, contribute to team spirit and dynamic growth, actively participate in wider engineering group- and product-wide activities Extensive experience in end-to-end implementation of DWH projects, especially in data warehouse and mart developments Good understanding of Data integration, Data Quality and data architecture Review modifications to existing software to improve efficiency and performance Experience in Star/ Snowflake/ Dimensional data modelling and Data Warehouse Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models Create logical and physical data models using best practices to ensure high data quality and reduced redundancy. Optimize and update logical and physical data models to support new and existing projects Maintain conceptual, logical and physical data models along with corresponding metadata Recommend opportunities for reuse of data models in new environments Evaluate data models and physical databases for variances and discrepancies Validate business data objects for accuracy and completeness Analyze data-related system integration challenges and propose appropriate solutions Develop data models according to company standards Having experience in insurance domain is advantage Show more Show less

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Tata Consultancy Services
Tata Consultancy Services
www.tcs.com

Information Technology and Consulting

Thane

500,000+ Employees

2710 Jobs

    Key People

  • Rajesh Gopinathan

    CEO and Managing Director

  • K. Krithivasan

    Incoming CEO

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