
High-Performing Data Engineer Wanted
6 days ago
As a Data Engineer with Azure Databricks, you will play a key role in developing and maintaining large-scale data processing systems. You will work closely with cross-functional teams to design and implement scalable data pipelines, ensuring high performance and reliability.
Key Responsibilities:
- Design and develop data processing workflows using Azure Databricks and Pyspark
- Collaborate with data scientists and engineers to integrate data into business applications
- Develop and maintain ETL (Extract, Transform, Load) processes to retrieve data from dimensional data models and data warehouses
- Work with relational databases and data access methods, especially SQL
- Contribute to the development of Azure architecture and design
To succeed in this role, you will need:
- 3-12 years of experience with Databricks and Delta Lake
- Hands-on experience with Azure and Python scripting
- Strong skills in ETL methods and data retrieval from dimensional data models and data warehouses
- Knowledge of relational databases and data access methods, especially SQL
- Experience with Azure architecture and design
We offer a competitive compensation package, including benefits such as:
- Medical and dental insurance
- 401(k) matching
- Paid time off and holidays
- Professional development opportunities
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law.
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