Website:
strive4x.net
Job details:
🚀 We’re Hiring: Senior Data Engineer (7+ years) | Hyderabad (Hybrid) | Full Time | Immediate joiner |
📍 Location: Hyderabad (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
- Strong Python expertise
- Advanced SQL (Joins, Window Functions, Optimization)
- Azure (Mandatory)
- 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: akshita.parashar@strive4x.net
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