🚀We Are Hiring: Lead Data Engineer 8–10 Years | Hyderabad (Hybrid) | Full-Time | Immediate Joiner

About the job 🚀We Are Hiring: Lead Data Engineer 8–10 Years | Hyderabad (Hybrid) | Full-Time | Immediate Joiner 📍 Location: Hyderabad (Hybrid) 💼 Experience: 8–10 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. 🛠️ Mandatory Skills Strong Python expertise Advanced SQL (Joins, Window Functions, Optimization) Azure - Azure Data Factory (ADF) , Storage Account Databricks - Unity Catalog, DLT (Delta Live Tables) ETL/ELT Data Pipeline ➕ 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 Tools: Airflow / Spark 📌 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+ years of overall experience with 5+ years of hands-on experience in Data Engineering Strong experience in Python for Data Engineering using Pandas, PySpark, SQLAlchemy, and data processing libraries Expertise in advanced SQL, including query optimization, performance tuning, complex joins, and window functions Hands-on experience with Azure cloud is Mandatory (ADF, Storage Accounts, and Azure-native services) Familiarity with orchestration and distributed processing tools such as Apache Airflow, Apache Spark, and similar technologies Experience with Databricks, including Unity Catalog and Delta Live Tables (DLT) Knowledge of ERP/CRM integrations such as SAP, Oracle, Salesforce, and Workday using APIs, connectors, or direct database access Strong understanding of data quality, validation frameworks, testing methodologies, and data governance practices Experience in applying AI-driven solutions for workflow automation, process optimization, and decision-making improvements 🌈 Nice-to-Have Experience with AI-powered productivity tools (Cursor, Windsurf, Claude, GitHub Copilot) for accelerated development Hands-on Java experience and understanding of enterprise application design patterns Knowledge of AWS along with Snowflake Experience working with ServiceNow platform or similar enterprise workflow platform Knowledge of real-time streaming architectures (Kafka Streams, Flink) for industrial/IoT analytics Experience with containerization (Docker, Kubernetes) and modern CI/CD practices Familiarity with AI/ML pipeline integration, feature engineering, and model serving infrastructure 📩 Apply Now !Interested can apply - 📧 Email: akshita.parashar@strive4x.net Share the following details Full Name Mobile Number Total Experience Relevant Experience in Data Engineering Experience in databricks Current Company Notice Period Last Working Day (if applicable) Current CTC (LPA) Expected CTC (LPA) Current Location Are you ready to relocate Hyderabad (Hybrid) location? PF Account Status Previous employments reflected in PF? Employment documents available? Are you fine with Full-Time Any offer in hand? (Mention LPA) Any remarks: #Hiring #SeniorDataEngineer #DataEngineerJobs #HyderabadHiring #Azure #Databricks #Snowflake #PythonJobs #BigData #ETL #ELT #Airflow #Spark #Kafka #Unity Catalog #DLT #CloudJobs #TechHiring #IIT #NIT #TCS #INFOSYS #LTTS #CGI #CTS #HiringNow #NIT #IIT #Strive4x #TCS #Hybridjobs