Data Engineer

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

• Strong 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]