Walk-in || Data Engineer - In person Drive - 20th Jun (Sat) - Noida - (4+ years)

Job description

**In person Interview - Face to Face.** **Job Title: Data Engineer** **Location: Noida** **Experience range : 4- 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** **Core Responsibilities** - **Data Pipeline Development:** Design, build, and optimize robust ETL/ELT pipelines to process large volumes of structured and unstructured data. [1] - **Cloud Platform Management:** Utilize cloud-native services to build scalable data processing and storage architectures. [1] - **Data Storage Optimization:** Build and maintain Data Warehouses and Data Lakes to fulfill Business Intelligence (BI) and analytics requirements. [1] - **System Monitoring:** Automate data workflows, troubleshoot pipeline failures, and optimize system performance. [1] - **Security & Governance:** Implement data security protocols, access controls, and compliance standards. [1, 2, 3, 4, 5] **Platform-Specific Tools**Depending on the tech stack of the organization, the day-to-day tooling differs: [1] - **AWS Stack:** Amazon Web Services (AWS) positions data engineers with building blocks like AWS Glue (ETL), Amazon Redshift (Data Warehouse), Amazon S3 (Data Lake), and Amazon Kinesis. [1, 2, 3] - **Azure Stack:** Microsoft Azure data engineers leverage Azure Data Factory (ADF) (orchestration), Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and integration with Power BI. [1, 2, 3] **Common Required Skills** - **Programming Languages:** High proficiency in **Python** or **Scala**. - **Database & Querying:** Mastery of **SQL** and experience with NoSQL databases. - **Big Data Frameworks:** Hands-on experience with **Apache Spark**, **Databricks**, and **Apache Kafka**. - **Workflow Orchestration:** Familiarity with tools like **Apache Airflow** or cloud-native equivalents **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**