Senior Data Engineer

1 week ago

Bangalore, India HAD Recruitment Services (HADRS) Full time

Responsibilities :

- Design, develop, and maintain robust data pipelines and architectures on the Azure platform.

- Utilize Azure Data Services (Azure Data Factory, Azure SQL Database, Azure Data Lake) to extract, transform, and load (ETL) data from various sources.

- Create and optimize data pipelines for efficient data ingestion, processing, and analysis.

- Develop and maintain data models and schemas to support reporting and analytics requirements.

- Collaborate with data analysts and business users to understand data needs and translate them into technical requirements.

- Perform data profiling, sourcing, and cleansing activities to ensure data quality and integrity.

- Leverage Power BI to create interactive dashboards and visualizations for data-driven insights.

- Write efficient SQL queries to extract, analyze, and manipulate data.

- Troubleshoot data-related issues and provide technical support.

- Stay updated on the latest data engineering technologies and best practices.

Qualifications :

- Bachelor's degree in Computer Science, Data Engineering, or a related field.

- 6 to 8 years of experience in data engineering or a similar role.

- Strong proficiency in Azure Data Services (Azure Data Factory, Azure SQL Database, Azure Data Lake).

- Expertise in data pipeline development and ETL processes.

- Solid understanding of SQL and database concepts.

- Experience with data profiling, sourcing, and cleansing techniques.

- Proficiency in Power BI for data visualization and reporting.

- Excellent problem-solving and analytical skills.

- Strong communication and interpersonal skills.

- Ability to work independently and as part of a team.

Preferred Qualifications :

- Experience with cloud-based data warehousing and analytics solutions.

- Knowledge of data modeling and data governance principles.

- Familiarity with data quality tools and techniques.

- Experience with data integration tools and technologies (e.g., SSIS, Informatica).

- Certification in Azure Data Engineering or related fields

(ref:hirist.tech)

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