Databricks Engineer - 9th May Drive - Hyderabad

Job description

**Job Title: Databricks** **Location: Hyderabad** **Experience Range : 5 - 10 years** **Walk In Drive Date : 9th May (Saturday)** **Walk In Drive Time : 09:30 AM 2:00 PM** **Venue:** **TCS CMC Hyderabad** **Things to carry for interview:** **1.** **TCS Registration No.** **(Mandatory)** **2.** **Completed TCS Application Form** **(Mandatory)** **3. PAN Card** **(Original - Both Hard & Soft Copy)(Mandatory)** **4.** **Aadhaar Card** **(Original - Both Hard & Soft Copy)(Mandatory)** **Eligibility Criteria:** - **Minimum 15 years of regular education (10th + 12th + 3 years graduation or Diploma of 3 years (Fulltime only))** - **Only Full Time courses would be considered.** **After applying this job your profile will be reviewed and basic screening will be done to your resume. Point of contact will be shared in mail. After that you will be receiving the final entry mail from me. Then only you can go. So please apply.** **Required Skill Set:** **Data Lake architecture, Azure Services ADLS, ADF, Azure Databricks, Synapse** **ADF, ADB, SQL, Pyspark, python** **Good Knowledge of Data Brick lake house and Azure Data Lake concept • Knowledge of Data Bricks delta concept** **Delta live tables (DLT) •** **Strong hands-on experience in ELT pipeline development using Azure Data factory and Databricks Autoloader, Notebook scripting and Azure Synapse Activity Copy, Data Flow Task •** **Strong knowledge of metadata-driven data pipeline, metadata management, dynamic logic •** **In-depth knowledge of data storage solutions, including Azure Data Lake Storage (ADLS), and Azure Serverless SQL Pool. •** **Experience with data transformation using Spark, and SQL technologies. • Solid understanding of design patterns, and best practices of the cloud stack. •** **Experience with code management and version control using Git or similar tools. •** **Strong problem-solving and debugging skills in ETL workflows and data pipelines. •** **Strong understanding of Azure Data bricks and Azure Synapse internals features and capabilities. •** **Knowledge of Azure DevOps and continuous integration and deployment (CI/CD) process. •** **Knowledge of data quality and data profiling techniques, with experience in data validation and data cleansing.**