Job Title: Senior Data Engineer
Location: Infopark Phase 2, Cochin
Job Type: Full Time
Experience Required: 3+ Years
Qualification:BCA / BTech / MTech / Similar
Immediate Joiner Preferred
We are a fast-growing AI, Data Science, Data Engineering, Clinical Decision support, Information & Cyber Security compliance focused organization with a presence in Kochi, UK and US. We aspire to be a prominent player in the Decision Making in the coming years. A team of 150 highly motivated employees are our strength.
What we offer?
A high growth environment where you can take new challenges, build a career, make an impact. Cross cultural, multi national exposure, access to experienced leaders and mentors. Competitive compensation and benefits.
Roles & Responsibilities:
- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Build and manage data lake and data warehouse solutions.
- Optimize and automate ingestion, transformation, and delivery of structured and unstructured data.
- Implement data quality, lineage, and governance best practices.
- Collaborate with Data Science, Visualization, and Engineering teams to operationalize data solutions.
- Monitor, debug, and improve data platform performance
Primary Skills:
- Advanced Python, Advanced SQL, Relational/Document Databases, Batch and Stream processing, Data pipeline monitoring and management, handling structured and unstructured data, and transformations.
- Having basic ML skills is good to have.
- Understanding of data modeling, data governance, and CI/CD practices.
- Solid experience in debugging and optimizing high-volume data processing.
- Hands-on experience with modern data stack Apache Spark, Airflow, dbt, Kafka, or equivalent technologies
Must have:
AWS (or any cloud provider), Hands-on Ubuntu Linux, Bash Shell, Developing with Docker
Secondary Skills:
- Communication, a good understanding of project management, and software development workflow.
- Experience with containerization (e.g., Docker, Kubernetes) and orchestration (Airflow, Dagster, Cron, etc.).
- Familiarity with ML Ops or Data Science workflows.
- Knowledge of streaming/batch/on-demand processing data architecture.
- Exposure to domain-specific analytics (e.g., retail, healthcare, finance).
- Data lake and warehouse technologies (e.g., Databricks, Snowflake, Redshift, BigQuery, Delta Lake).
Why Join Us?
- Opportunity to work with cutting-edge technologies and innovative projects.
- Collaborative and dynamic work environment.
- Career growth and professional development opportunities.
- Competitive salary and benefits package.
