AppSierra Solutions

3 weeks ago


Hyderabad, India AppSierra Solutions Pvt Ltd Full time

Description :

We are looking for a skilled Data Engineer with expertise in Azure, SQL, and Pyspark to join our team. As a Data Engineer, you will be responsible for designing and implementing data solutions that meet the needs of our organization. You will work closely with our data scientists and analysts to understand data requirements and ensure the quality, availability, and accessibility of our data. The ideal candidate is a problem solver with a strong background in data engineering and a passion for continuous learning and development.

Responsibilities :

- Design, build, and deploy scalable data pipelines using Azure technologies such as Azure Data Lake, Azure Databricks, and Azure SQL Data Warehouse.

- Develop and maintain ETL processes to extract, transform, and load data from different sources into our data warehouse.

- Optimize database performance and implement efficient data storage and retrieval methods.

- Collaborate with data scientists and analysts to understand their data requirements and assist them in data preparation and model implementation.

- Monitor and troubleshoot data quality issues, ensuring data integrity and consistency.

- Develop and maintain technical documentation for data pipelines, ETL processes, and data models.

- Stay up-to-date with the latest trends and technologies in data engineering and contribute to the continuous improvement of our data infrastructure.

Requirements :

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

- Proven experience as a Data Engineer, with expertise in Azure technologies (Azure Data Lake, Azure Databricks, Azure SQL Data Warehouse).

- Strong hands-on experience with SQL and database technologies.

- Proficiency in Pyspark for data processing and analytics.

- Experience in building and maintaining ETL processes.

- Solid understanding of data modeling concepts and database design principles.

- Familiarity with distributed systems and big data processing frameworks (e.g., Hadoop, Spark).

- Strong problem-solving and analytical skills.

- Excellent written and verbal communication abilities.

- Ability to handle multiple tasks and prioritize work effectively.

- A passion for continuous learning and self-improvement in the field of data engineering.

- Relevant certifications in Azure or data engineering are a plus.

(ref:hirist.tech)
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