Data Engineer / Graph DB - Neo4J

Job Title: Data Engineer

Location : Hyderabad

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 Tanlas 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.

• 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, performance tuning).
• Proven experience in ETL/ELT design and data pipeline development.
• Hands-on experience with Big Data frameworks Hadoop, Spark, Kafka.
• Expertise in data modelling & warehouse design (Star/Snowflake schemas).
• 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:

• Bachelors or masters 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