Walk-in || Databricks - In person Drive - 20th Jun (Sat) - Noida - (5+ years)

Job description

**In person Interview - Face to Face.** **Job Title: Databricks Developer** **Location: Noida** **Experience range : 5- 10 years** **Walk In Drive Date : 20th Jun (Saturday)** **Walk In Drive Time : 09:30 AM 2:00 PM** **Venue:** **TCS - Noida** **TCS Yamuna Park, Plot No. 20 & 21, Building B2, 4th to 7th Floor, Seaview Developers SEZ, Sector 135, Noida - 201304, Uttar Pradesh.** **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.** **Job Description:** - **Pipeline Development:** Design, build, and optimize scalable ETL/ELT data pipelines using PySpark, Spark SQL, and Databricks Workflows. - **Lakehouse Architecture:** Implement medallion architectures (Bronze, Silver, Gold layers) leveraging Delta Lake for ACID transactions and data versioning. - **Performance Tuning:** Optimize Spark workloads for cost and efficiency using caching, partitioning, and Z-ordering. - **Data Governance:** Enforce security and compliance using Databricks Unity Catalog for fine-grained access control, data masking, and lineage tracking. - **DevOps Integration:** Implement CI/CD best practices using Git, automated testing frameworks, and Infrastructure-as-Code tools like Terraform. **Core Required Skills** - **Programming Languages:** Advanced proficiency in **Python** and **SQL**. - **Data Processing:** Mastery of **PySpark / Spark SQL** for production-grade data manipulation. - **Databricks Stack:** Deep experience with **Delta Lake**, **Unity Catalog**, and **Databricks Workflows/Jobs**. - **Cloud Platforms:** Strong hands-on experience integrating Databricks within cloud ecosystems like **AWS** (S3, Glue) or **Azure** (Azure Data Factory, Azure Synapse). - **DevOps:** Working knowledge of **Git**, CI/CD pipelines, and basic containerization tools. **Preferred Qualifications** - **Certifications:** Databricks Certified Data Engineer (Associate or Professional) or Databricks Certified Developer. **HR - Talent Acquisition Group** **Let's connect on Linkedln: linkedin.com/in/mahalaxmi-g-46a391245** **For Opportunities visit: https://ibegin.tcs.com/iBegin** **Website: www.tcs.com**