Job Description

Job Title: Data Engineer

Company: Tanla

Years of Exp: 5–10 Years

Location: Hyderabad

Role Type: Full-Time Role

Salary: Competitive, as per industry standards and experience

Eligibility: Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field

Role Overview

We are seeking a skilled and experienced Data Engineer to join our dynamic Data Engineering team. The ideal candidate will design, build, and optimize large-scale data pipelines and data warehouses that power real-time analytics and business intelligence across Tanla’s CPaaS ecosystem. You will work with diverse, high-volume datasets such as Call Detail Records (CDR) and collaborate closely with cross-functional teams to ensure data reliability, scalability, and performance.

Key Responsibilities

• Design, develop, and implement scalable ETL/ELT pipelines for large-scale data processing and analytics
• Build and optimize advanced analytical SQL queries with a focus on performance and scalability
• Work with Big Data frameworks including Hadoop, Spark, and Kafka for distributed data processing
• Design, build, and maintain data warehouses and data models to support reporting and analytics
• Efficiently parse, transform, and manage Call Detail Records (CDR) and other telecom datasets
• Collaborate with data scientists, analysts, and business stakeholders to enable seamless data flow
• Ensure data quality, integrity, governance, and security across distributed data systems
• Monitor and optimize data pipelines for reliability and operational excellence

Skills and Qualifications

• 5–10 years of hands-on experience in Data Engineering or related roles
• Strong expertise in Advanced SQL, including analytical queries and performance tuning
• Proven experience in ETL/ELT architecture and data pipeline development
• Hands-on experience with Big Data technologies such as Hadoop, Spark, and Kafka
• Strong knowledge of data modeling and warehouse design (Star and Snowflake schemas)
• Extensive experience with CDR parsing and telecom data transformation
• Proficiency in Python, Scala, or Java for building data workflows
• Experience with orchestration and data platforms such as Airflow, Snowflake, or Redshift
• Familiarity with cloud platforms including AWS, GCP, or Azure
• Exposure to telecom data systems or network analytics is highly preferred
• Strong problem-solving skills and ability to work collaboratively in cross-functional teams