Data Engineer

Albemarle; Bengaluru; On-site; INR 1,800,000 - 3,800,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits package

Professional development resources

Job summary

Albemarle in Bengaluru is seeking a Data Engineer to design scalable data pipelines on Azure and collaborate with data scientists and business stakeholders to deliver analytics solutions.

The role requires a BS/MS in CS/DS/Engineering and 4–6 years of hands-on experience with Databricks, Spark, SQL, and Azure data tools. Join a team that emphasizes governance, security, and impactful data-driven decisions.

Qualifications

• Bachelor's degree required in CS/DS/Engineering or related field.
• 4–6 years of data engineering experience.
• Hands-on with Databricks, Spark, and Microsoft SQL.
• Experience with data governance and secure data sharing.

Responsibilities

• Design and implement scalable data pipelines and analytics solutions on Azure.
• Collaborate with data scientists, analysts and stakeholders to gather data needs.
• Develop and maintain data models, ETL processes and data integration workflows.
• Ensure data quality, governance and security across analytics platforms.
• Create interactive dashboards and visualizations for decision making.
• Optimize performance and troubleshoot data systems.
• Contribute to ML model deployment and analytic projects.

Skills

Data engineering

Data modeling

Data governance

Communication

Collaborative work

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field

Tools

Azure Data Factory

Azure Databricks

Azure Data Lake Storage

Azure SQL

SQL

Python

Spark

GitHub

Job description

Be an essential element to a brighter future.

We work together to transform essential resources into critical ingredients for mobility, energy, connectivity and health. Join our values-led organization committed to building a more resilient world with people and planet in mind. Our core values are the foundation that make us successful for ourselves, our customers and the planet.

Job Description

Key Responsibilities

• Design and implement scalable data pipelines and analytics solutions using Azure services.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
• Develop and maintain data models, ETL processes, and data integration workflows.
• Ensure data quality, governance, and security across all analytics platforms.
• Create interactive dashboards and visualizations to support business decision-making.
• Optimize performance of data systems and troubleshoot issues as needed.
• Contribute to the development and deployment of machine learning models and statistical analyses.
• Participate in version-controlled development workflows and collaborative analytics projects.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
• 4-6 years of experience in data engineering
• Hands-on experience with database and cloud platforms (Databricks, Spark, Microsoft SQL).
• Experience developing and maintaining data governance and security frameworks across Databricks and enterprise data warehouse (EDW) ecosystems, including access controls, data lineage, auditability, and secure data-sharing practices.
• Experience with Azure Data Factory for orchestrating data workflows.
• Proficiency in Microsoft SQL Server for data storage and querying.
• Hands-on experience with Azure Data Lake for big data storage and analytics.
• Experience with Generative AI tools such as Azure OpenAI or Databricks Genie.
• Experience with version-control systems (GitHub, etc.).
• Demonstrated ability to use data to make strategic recommendations and inform decisions.
• Excellent communication skills with the ability to present findings clearly and concisely.
• Proven experience working in collaborative teams, including co-development of models and results.

Technical Skills

• Azure Ecosystem: Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Azure SQL
• Data Engineering: SQL, Python, ETL development, Data Warehousing
• Preferred: Experience with Enterprise Applications such as SAP, Salesforce, Workday, Adaptive Planning

Benefits of Joining Albemarle

• Competitive compensation
• Comprehensive benefits package
• A diverse array of resources to support you professionally and personally.

We are partners to one another in pioneering new ways to be better for ourselves, our teams, and our communities. When you join Albemarle, you become our most essential element and you can anticipate competitive compensation, a comprehensive benefits package, and resources that foster your well-being and fuel your personal growth. Help us shape the future, build with purpose and grow together.