Senior Data Engineer

Xevyte Technologies; Hyderabad; Hybrid; INR 1,800,000 - 2,400,000; Full time

Job summary

Xevyte Technologies in Hyderabad is seeking a Senior Data Engineer to design and build scalable batch and real-time data pipelines.

You will develop ETL/ELT workflows with Python and PySpark, optimize SQL for MySQL/Oracle, and create data ingestion solutions via APIs and Kafka.

The role requires hands-on experience with Airflow, cloud platforms (AWS/Azure/GCP), CI/CD, and agile practices; interviews are face-to-face in Hyderabad.

Qualifications

• 5+ years of hands-on data engineering experience.
• Strong Python, SQL, and database skills.
• Experience building ETL/ELT pipelines and data ingestion solutions.

Responsibilities

• Design and build scalable batch and real-time data pipelines.
• Develop ETL/ELT workflows using Python and PySpark.
• Build robust data ingestion solutions using APIs and Kafka.
• Create and manage workflows using Apache Airflow.
• Optimize SQL queries and work with MySQL/Oracle databases.
• Collaborate with cross-functional teams to deliver high-quality data solutions.

Skills

Python

SQL

MySQL/Oracle

ETL & Data Pipelines

Data Ingestion & API

PySpark

Job description

We're Hiring | Senior Data Engineer | Hyderabad | Immediate and serving Notice period candidates .

We're looking for a Senior Data Engineer with 68 years of experience to join our growing team in Hyderabad available for Face to Face interview .

• Location: Hyderabad
• Experience: 68 Years
• Notice Period: Immediate and serving notice period to Till 15th SEP 2026.

Key Skills:

• Python
• SQL
• MySQL / Oracle
• ETL & Data Pipelines
• Data Ingestion & API .
• PySpark

Key Responsibilities:

• Design and build scalable batch and real-time data pipelines.
• Develop ETL/ELT workflows using Python and PySpark.
• Build robust data ingestion solutions using APIs and Kafka.
• Create and manage workflows using Apache Airflow.
• Optimize SQL queries and work with MySQL/Oracle databases.
• Collaborate with cross-functional teams to deliver high-quality data solutions.

Preferred Skills:

• AWS, Azure, or GCP
• CI/CD, Git, Agile/Scrum

Interview Process:

• L1 Technical Interview
• Client Interview
• L2 – Managerial Interview

Interested candidates can react out to

If you're available for Face to Face interview at Hyderabad ,to join within 0–20 days or serving notice period candidates , and have the required expertise, we'd love to hear from you!