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Data Engineer
Albemarle
Actively HiringFull-time
Location
KA, IN
Experience
4-6 years
Role
Data Engineer
Salary
Competitive
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Job Description
Role Overview
Join a values-led organization committed to building a more resilient world. As a Data Engineer, you will be an essential element in transforming resources into critical ingredients for mobility, energy, connectivity, and health, helping to shape a brighter future.
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.
Requirements
- 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 developing data governance and security frameworks across Databricks and EDW ecosystems.
- 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 proven experience in collaborative team environments.
Skills
- Azure Data Factory
- Databricks
- SQL
- Python
- Azure Data Lake
Nice to Have
- Experience with Enterprise Applications such as SAP, Salesforce, Workday, or Adaptive Planning.
Benefits
- Competitive compensation
- Comprehensive benefits package
- Diverse array of resources to support professional and personal growth
Required Skills
Azure Data FactoryDatabricksSQLPythonAzure Data Lake
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