DATA ENGINEER (3 POSITIONS) @ IDT
We are looking for a skilled and passionate Data Engineer to join our advanced analytics team. The ideal candidate will have hands-on experience in IICS, Snowflake, SQL, and Cloud platforms, with a strong foundation in building scalable data pipelines and modern data integration frameworks. You will play a key role in developing data-driven solutions to support AI/ML initiatives and enhance customer experience across global operations. The role requires working from 12:00 PM to 9:00 PM IST to align with team requirements.
Your core responsibilities will include designing ETL/ELT processes and managing cloud-based data solutions on platforms like AWS, Azure, or GCP. You will handle both structured and semi-structured data while implementing essential data quality and monitoring processes. Collaboration with cross-functional teams is vital to support business growth initiatives. The package for this role is up to ₹14 LPA, reflecting the expertise required to handle complex data architectures and DevOps practices within a modern data stack environment.
Your core responsibilities will include designing ETL/ELT processes and managing cloud-based data solutions on platforms like AWS, Azure, or GCP. You will handle both structured and semi-structured data while implementing essential data quality and monitoring processes. Collaboration with cross-functional teams is vital to support business growth initiatives. The package for this role is up to ₹14 LPA, reflecting the expertise required to handle complex data architectures and DevOps practices within a modern data stack environment.
Key Requirements
2+ years of experience in Data Engineering.
Strong hands-on experience with Snowflake.
Proficiency in Cloud platforms (AWS, Azure, or GCP).
Expert knowledge of SQL and Python.
Extensive experience with Informatica Cloud (IICS) and ETL tools.
Proven ability to build scalable data pipelines and cloud-based data solutions.
Knowledge of serverless architectures and APIs.
Familiarity with DevOps practices including CI/CD and IaC.
Experience with streaming tools like Kafka or Spark Streaming.
Bachelor’s degree in a relevant field such as Computer Science or Engineering.