Data Engineer
Confirmed on the employer's own hiring board on Nov 6, 2026. First seen by Alion on Nov 2, 2026. Symphoni HR scores A on the Alion truth index.
As a Data Engineer, you will design, build and maintain scalable data pipelines and platforms that power analytics and product decisions. You will work across ingestion, transformation, warehousing and orchestration layers in a hybrid, Agile environment. This role suits an experienced engineer who enjoys owning reliable, secure and well-governed data systems end to end.
SYMPHONI HR is recruiting on behalf of a leading global computer software company with a large, international technology footprint. Our client builds enterprise software and data-driven products used by organisations worldwide. The culture emphasises engineering excellence, collaboration and continuous learning.
Responsibilities
- Design, develop and maintain scalable batch and streaming data pipelines using Python, PySpark and SQL
- Orchestrate and monitor workflows using Airflow and manage big data processing on Hadoop and Hive
- Build and optimise data models, including star schema and dimensional models, within data warehouses
- Ingest and process real-time data streams using Kafka
- Deploy and manage data workloads on cloud platforms (AWS, Azure or GCP) and containers using Docker and Kubernetes
- Implement CI/CD pipelines and version control practices with Git
- Apply data governance, security and lineage practices across data assets
- Automate operational tasks and support environments with Linux shell scripting
- Collaborate with analysts, data scientists and product teams in Agile/Scrum ceremonies
Requirements
- 6-8 years of hands-on experience in data engineering
- Strong proficiency in Python, PySpark and SQL
- Experience with Airflow, Hadoop, Hive and Kafka
- Solid understanding of data modelling (star schema, dimensional modelling) and data warehousing
- Hands-on experience with at least one cloud platform (AWS, Azure or GCP)
- Working knowledge of Git, CI/CD, Docker and Kubernetes
- Experience with Linux shell scripting and data governance, security and lineage
- Familiarity with Agile/Scrum delivery methodologies
- Ability to work in a hybrid model based in Pune / Bengaluru
Qualifications
6-8 years of hands-on experience in data engineering Strong proficiency in Python, PySpark and SQL Experience with Airflow, Hadoop, Hive and Kafka Solid understanding of data modelling (star schema, dimensional modelling) and data warehousing Hands-on experience with at least one cloud platform (AWS, Azure or GCP) Working knowledge of Git, CI/CD, Docker and Kubernetes Experience with Linux shell scripting and data governance, security and lineage Familiarity with Agile/Scrum delivery methodologies Ability to work in a hybrid model based in Pune / Bengaluru
Skills
Python, PySpark, SQL, Airflow, Hadoop, Hive, Git, CI/CD, Cloud platform (AWS, Azure or GCP), Data modelling (star schema, dimensional modelling), Data warehousing, Kafka, Linux shell scripting, Docker, Kubernetes, Data governance, security and lineage, Agile/Scrum