Were Hiring Senior Data Engineer (Bengaluru)

Were Hiring: Senior Data Engineer (7+ years) | Bangalore, (Hybrid) | Full Time | Immediate joiner | Location: Bangalore (Hybrid) Experience: 7+ Years (Min. 5+ Years Hands-on in Data Engineering) Employment: Type: Full-Time Joining: Immediate Joiners Preferred Mandatory Qualification : B.E./B.Tech required Please note, this role has a restricted budget range kindly apply accordingly. About the Role We are looking for our reputed client who highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong expertise in Python, SQL, and Azure-based data ecosystems. Key Skills - Solid Pytho n expertise - Advanced SQ L (Joins, Window Functions, Optimization) - Azure (Mandatory) - Azure Data Factory (ADF) - Storage Account - Databrick s - Unity Catalog, DLT (Delta Live Tables) - ETL/ELT Data Pipeline - Tools: Airflow / Spark Good-to-Have Skill - AWS - Snowflake - Real-time streaming (Kafka, Flink) - Docker & Kubernetes - CI/CD pipelines - AI/ML pipeline exposure - Basic Java knowledge - ServiceNow experience Key Responsibilities - Design & build scalable data pipelines using Airflow, Spark, Kafka - Develop data ingestion frameworks from ERP (SAP, Oracle) & CRM (Salesforce, Workday) - Implement data quality checks, validation & monitoring - Optimize pipelines for performance & cost efficiency - Collaborate with BI & Data teams for seamless data flow - Write clean, reusable & tested code - Support CI/CD & deployment processes Required Qualifications - 7+ year s of overall experience wit h 5+ years of hands-on experience in Data Engineerin g - Strong experience in Python for Data Engineering using Pandas, PySpark, SQLAlchemy , and data processing librarie s - Expertise in advanced SQL, including query optimization, performance tuning, complex joins, and window functions - Hands-on experience wit h Azure cloud is Mandatory (AD F, Storage Account .