Data Engineer

Albemarle Corporation; Bengaluru; On-site; INR 1,600,000 - 2,400,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits package

Professional development resources

Job summary

Albemarle Corporation in Bengaluru invites experienced data engineers to join our analytics team. You will design scalable data pipelines, build and govern data models, and collaborate with data scientists to derive actionable insights.

The role emphasizes Azure-based analytics, Databricks, and secure data sharing across enterprise platforms, with opportunities to contribute to ML model deployment and strategic decision-making.

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 Databricks, Spark, and Microsoft SQL.
• 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 like GitHub.
• Excellent communication skills and team collaboration.

Responsibilities

• Design and implement scalable data pipelines and analytics solutions using Azure services.
• Collaborate with data scientists, analysts, and stakeholders to understand data requirements.
• 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 to support decision-making.
• Optimize performance of data systems and troubleshoot issues.
• Contribute to the development and deployment of machine learning models and analyses.
• Participate in version-controlled development workflows and collaborative analytics projects.

Skills

Azure Data Factory

Azure Databricks

Azure Data Lake Storage

SQL

Python

ETL development

Data Warehousing

Data governance

Security frameworks

GitHub

Education

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

Tools

Databricks

Spark

Microsoft SQL Server

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.