About the Company
Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.
Title : Senior Data Engineer
Location : Hyderabad,Chennai
Experience : 6 - 12 years
Employment Type : Permanent
Notice Period : Immediate Joiners
Key Responsibilities :
- Big Data Processing :
- Design, develop, and maintain scalable ETL / ELT pipelines using PySpark , Scala , or Java .
- Implement data transformation workflows to ensure clean and reliable datasets.
- Cloud Integration :
- Work extensively with AWS services such as EMR , S3 , Glue , Lambda , Redshift , DynamoDB , and RDS to build and manage data solutions.
- Data Modeling & Optimization :
- Develop and optimize data models in Hadoop and Spark environments.
- Ensure performance tuning and cost optimization of cloud-based data platforms.
- Data Ingestion & Integration :
- Ingest data from various sources including APIs, RDBMS, and NoSQL databases.
- Implement data pipelines for batch and real-time processing.
- Collaboration & Documentation :
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Document data models, transformation logic, and technical specifications.
- Automation & Monitoring :
- Automate data workflows and ensure data pipelines are reliable, scalable, and error-free.
- Implement data monitoring, logging, and alerting to ensure pipeline reliability.
Required Skills & Qualifications :
Technical Expertise :6–12 years of experience in Big Data engineering with strong hands-on experience in AWS , PySpark , Scala , or Java .Proficiency in SQL and experience with Hadoop ecosystem components like Hive , HDFS , and Kafka .Cloud Services :Extensive experience with AWS services such as EMR , S3 , Glue , Lambda , Redshift , DynamoDB , and RDS .Data Engineering Tools :Familiarity with data orchestration tools like Apache Airflow or Oozie .Experience with containerization technologies like Docker and Kubernetes is a plus.Soft Skills :Strong analytical and problem-solving skills.Excellent communication and collaboration abilities.Ability to work independently and in a team-oriented environment.Preferred Skills (Good to Have) :
Certifications : AWS Certified Solutions Architect , AWS Certified Big Data – Specialty , or Cloudera Certified Associate (CCA) .Experience with CI / CD pipelines using tools like Jenkins or GitLab .Knowledge of data warehousing concepts and experience with platforms like Redshift or Snowflake .Familiarity with streaming technologies such as Apache Kafka or Kinesis .