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

🚀We Are Hiring: Senior Data Engineer 8–10 Years | Hyderabad (Hybrid) | Full-Time | Immediate Joiner
📍 Location: Hyderabad / Bangalore (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
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+ 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: [email protected]
Share the following details
Full Name
Mobile Number
Total Experience
Relevant Experience in Data Engineering
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 / Contact / Both?
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

Skills
Python, Java, Git, Kafka, AWS, Azure, Docker

Experience
7+ yrs

Work arrangement
Hybrid