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Transformative Data Architect
1 week ago
LTIMindtree, a leading global technology consulting and digital solutions company, is seeking an experienced Data Engineer to join its team.
The ideal candidate will have a strong background in designing, building, and optimizing data pipelines and architectures, with expertise in Azure Data Factory, Databricks, SQL databases, and data modeling. They will be responsible for developing scalable data solutions that enable data-driven decision-making across the organization.
The key responsibilities of this role include:
- Data Pipeline Development: Designing, building, and maintaining scalable data pipelines using Azure Data Factory and Databricks.
- Data Integration: Integrating data from multiple sources into a centralized repository while ensuring data accuracy and reliability.
- Data Modeling: Creating and optimizing data models conceptual, logical, and physical to meet reporting and analytics needs.
- Database Management: Developing and maintaining SQL databases, including writing complex queries, stored procedures, and performance tuning.
- Collaboration: Partnering with data analysts, business stakeholders, and other teams to understand requirements and deliver high-quality data solutions.
The successful candidate will have:
- 5+ years of experience as a Data Engineer or in a related role.
- Expertise in Azure Data Factory, Databricks, and SQL databases.
- Strong proficiency in data modeling, ETL processes, and data transformation.
- Solid understanding of distributed systems and data architecture principles.
- Proven ability to manage and deliver data engineering projects independently and collaboratively.
Additional skills and qualifications may be preferred but are not required. LTIMindtree offers a competitive benefits package, a collaborative work environment, and opportunities for professional growth and development.