Job Title: Senior Data Engineer

Experience: 5-7 Years

Work Mode: Hyderabad (5 Days Office)

Role Overview The ideal candidate will design, build, and optimize large-scale data pipelines and warehouses that enable real-time analytics and business intelligence across Client CPaaS ecosystem. Youll work on diverse datasets, including Call Detail Records (CDR), and collaborate closely with cross-functional teams to ensure data reliability, scalability, and performance.

Key Responsibilities

- Design and implement ETL/ELT pipelines for large-scale data processing and analytics.
- Develop and optimize analytical SQL queries for performance and scalability.
- Work with Big Data frameworks such as Hadoop, Spark, and Kafka.
- Design, build, and maintain data warehouses and data models supporting reporting and analytics.
- Work with Graph Databases, particularly Neo4j, for data modelling, querying, and analytics.
- Parse and transform Call Detail Records (CDR) and other telecom-related data efficiently.
- Collaborate with data scientists, analysts, and business stakeholders to ensure smooth data flow.
- Ensure data quality, integrity, and governance across distributed systems.

Required Skills

- 5-7 years of hands-on experience in Data Engineering or a related role.




- Strong expertise in Advanced SQL analytical queries and performance tuning.
- Proven experience in ETL/ELT design and data pipeline development.
- Hands-on experience with Hadoop, Spark, and Kafka.
- Expertise in Data Modelling & Data Warehouse Design, including Star/Snowflake schemas.
- Hands-on experience with Graph Databases Neo4j preferred.
- Experience with any of the following Graph Database technologies is also acceptable:

- Amazon Neptune

- Azure Cosmos DB (Gremlin)

- ArangoDB

- TigerGraph
- Solid background in CDR parsing and transformation.
- Proficiency in Python / Scala / Java for data workflows.
- Familiarity with cloud platforms such as AWS, GCP, or Azure.

Preferred Qualifications

- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
- Experience with Airflow, Snowflake, or Redshift.
- Exposure to telecom data systems or network analytics is highly preferred.
- Experience working with Graph Analytics / Graph Data Modelling. main skills

If this opportunity aligns with your experience and career goals, kindly share your updated resume, in: [email protected]

📌 Data Engineer (Hyderabad)
🏢 Wikilabs India
📍 Hyderabad