Data Engineer
ArcelorMittal Digital Consulting
2 - 5 years
Hyderabad
Posted: 17/12/2025
Job Description
Job Title Data Engineer
Job Nature Full-time
Experience 56 years
Position Overview
We are seeking a motivated Data Engineer to design and build scalable data solutions that power analytics, reporting, and AI-driven initiatives. This role involves working with the latest data technologies, such as Databricks, Microsoft Fabric, or AWS, developing robust data pipelines, and collaborating with cross-functional teams to enable reliable and secure data access across the organization.
Key Responsibilities
- Design and develop ETL/ELT pipelines for both batch and real-time data processing.
- Build and optimize data models and data lake/warehouse architectures to support analytics and machine learning.
- Ensure data quality, governance, and security across all workflows.
- Collaborate with data scientists, analysts, and architects to enable data-driven solutions.
- Integrate data from diverse sources such as databases, APIs, text files and streaming platforms.
- Monitor, troubleshoot and optimize data pipelines for performance and scalability.
- Contribute to best practices, documentation, and reusable components.
Requirements
- 5+ years of experience in data engineering or related fields.
- Solid knowledge of SQL and relational databases
- Strong programming skills, preferably in Python and experience with Spark big data processing framework.
- Hands-on experience with cloud data services (AWS, Azure, or GCP).
- Experience with data pipeline orchestration tools (e.g., Airflow, Azure Data Factory, Step Functions).
- Familiarity with source code version control and CI/CD pipelines for automatic deployment
- Strong problem-solving skills and ability to thrive in a fast-paced, cloud-native environment.
Nice to have
- Experience with MS Fabric (lakehouse, notebooks, pipelines, etc)
- Experience with Databricks (lakeflow, declarative pipelines, notebooks, etc)
- Experience migrating data from SAP HANA database
- Knowledge of data governance and cataloging (e.g., Purview, Glue, Unity Catalog).
- Familiarity with machine learning pipelines and collaboration with data science teams.
- Databricks Certified Data Engineer Associate/Professional
- Microsoft Certified: Azure Data Engineer Associate
Qualifications
- Bachelors degree in computer science, IT, or a related field.
Work Location Hyderabad
Time Zone
Selected candidate is required to work as per India Time (IST) / European Time (CET/GMT) / Americas Time Zone (EST)
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