Senior Data Engineer

2 days ago

Noida, Uttar Pradesh, India hastree Technologies Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Hastree Technologies, founded in 2019 and headquartered in Noida, is a global leader in IT services and consulting, with a strong presence in India, the U.S., Australia, Canada, and Europe. The company focuses on digital transformation, offering innovative strategies and flexible staffing solutions. With a workforce size of 11-50 employees, Hastree Technologies upholds a mission to empower businesses by scaling agile processes, enhancing localization, and delivering exceptional customer experiences.

Senior Data Engineer

Experience: 6+ years

Location : RemoteJob

Job Description:

Technical Skills:

5+ years of experience in SQL, Python,.Net, SSIS, SSAS

2+ years of experience in Azure cloud services esp - SQL Server, ADF, Azure Databricks, ADLS, Key vault, Azure Functions, Logic Apps Etc. Highlighting Databricks.

2+ years of experience in using GIT and deploying code using CI/CD approach.

Soft Skills:

Strong analytical and problem-solving skills.

Excellent communication and interpersonal skills.

Ability to work independently and as part of a team.

Attention to detail and a commitment to quality.

Responsibilities

Create and manage scalable data pipelines to collect, process, and store large volumes of data from various sources

Data Integration: Integrate data from multiple data sources, ensuring data consistency, quality, and reliability.

Database Management: Design, implement, and optimize database schemas and structures to support data storage and retrieval.

ETL Processes: Develop and maintain ETL (Extract, Transform, Load) processes to ensure data is accurately and efficiently moved between systems.

Data Warehousing: Build and maintain data warehouses to support business intelligence and analytics needs.

Performance Optimization: Optimize data processing and storage performance, ensuring efficient use of resources and quick data retrieval.

Documentation: Create and maintain comprehensive documentation for data pipelines, ETL processes, and database schemas.

Monitoring and Troubleshooting: Monitor data pipelines and systems for performance and reliability, troubleshooting and resolving any issues that arise.

Technology Evaluation: Stay up-to-date with emerging technologies and best practices in data engineering, evaluating and recommending new tools and technologies as appropriate.

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