? 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 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 s,



and Azure-native services
- Familiarity with orchestration and distributed processing tools such as Apache Airflo w , Apache Spar k, and similar technologies
- Experience with Databrick s, including Unity Catalo g and Delta Live Table s (DLT
- Knowledge of ER P /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 solution s 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 (Docke r, Kubernete s) and modern CI/C D 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)
- Are your serving Notice Period (Yes / No)?
- Current CTC (LPA)
- Expected CTC (LPA)
- Current Location
- Are you fine with Hyderabad (Hybrid) location?
- PF Account Status
- Previous employments reflected in PF?
- Employment documents available?
- Open to Full time?
- Any offer in hand? (Mention LPA)

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📌 ? We’re Hiring: Senior Data Engineer (7+ years) | Hyderabad (Hybrid) | Full Time | Immediate joiner |
🏢 Strive4X Infotech Private
📍 Hyderabad