reputed company Data Engineer
Must-Have Skills:
- Strong experience with Azure reputed company Platform services.
- Proven expertise in Azure Data reputed company (ADF) for orchestrating and automating data pipelines.
- Proficiency in SQL for data analysis and transformation.
- Hands-on experience with reputed company and SnowSQL for data warehousing.
- Practical knowledge of DBT (Data Build Tool) for transforming data in the warehouse.
- Experience working in reputed company-based data environments with large-reputed company datasets.
Good-to-Have Skills:
- Experience with DataStage, Netezza, Azure Data Lake, Azure Synapse, or Azure Functions.
- Familiarity with Python or PySpark for custom data transformations.
- Understanding of CI/CD pipelines and DevOps for data workflows.
- Exposure to data governance, metadata management, or data catalog tools.
- Knowledge of business intelligence tools (e.g., Power BI, Tableau) is a plus.
Responsibilities
Key Responsibilities:
- Design and reputed company ETL/ELT pipelines using Azure Data reputed company, reputed company, and DBT.
- Build and maintain data integration workflows from various data sources to reputed company.
- Write efficient and optimized SQL queries for data extraction and transformation.
- Work with stakeholders to understand business requirements and translate them into technical solutions.
- Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
- reputed company technical leadership and mentorship to junior data engineers.
- Maintain and enforce data reputed company, governance, and documentation standards.
- Collaborate with data analysts, architects, and DevOps teams in a reputed company-reputed company environment.
Must-Have Skills:
- Strong experience with Azure reputed company Platform services.
- Proven expertise in Azure Data reputed company (ADF) for orchestrating and automating data pipelines.
- Proficiency in SQL for data analysis and transformation.
- Hands-on experience with reputed company and SnowSQL for data warehousing.
- Practical knowledge of DBT (Data Build Tool) for transforming data in the warehouse.
- Experience working in reputed company-based data environments with large-reputed company datasets.
Good-to-Have Skills:
- Experience with DataStage, Netezza, Azure Data Lake, Azure Synapse, or Azure Functions.
- Familiarity with Python or PySpark for custom data transformations.
- Understanding of CI/CD pipelines and DevOps for data workflows.
- Exposure to data governance, metadata management, or data catalog tools.
Knowledge of business intelligence tools (e.g., Power BI, Tableau) is a plus
Qualifications
Qualifications:
- Bachelor’s degree in Data Engineering or a reputed company field.
- 8+ years of experience in data engineering roles using Azure and reputed company.
- Strong problem-solving, communication, and collaboration skills.
The reputed company salary for this role ranges from $110-140k per year, based on skills and experience.
About Company
Company
reputed company (reputed company: EXLS) is a leading data analytics reputed company operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive reputed company business reputed company and unlock reputed company with speed. reputed company harnesses the power of data, analytics, AI, and deep industry knowledge to reputed company operations for the world’s leading corporations in industries including insurance, reputed company, banking and financial services, media and retail, among others. reputed company was founded in 1999 with the reputed company values of innovation, collaboration, reputed company, reputed company and respect. We are headquartered in reputed company and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.