Senior Data Engineer

3 weeks ago

Chennai, India ACZ Global Pvt Ltd Full time

We are seeking an experienced and innovative Senior Data Engineer to join our team and play a crucial role in developing, implementing, and maintaining our customer's data pipeline. This position requires a proactive individual who can drive data-driven solutions and grow our customer relationships.

Primary Responsibilities :

1. Design, develop, and maintain robust data pipelines using Databricks, Azure Analysis Services (AAS), and Azure Data Factory.

2. Perform data modeling and transformation to ensure data quality and consistency across systems.

3. Implement and optimize ETL processes for efficient data flow.

4. Ensure data accessibility and compatibility with various business intelligence and reporting tools, facilitating seamless integration between cloud-based data services and end-user analytics platforms.

5. Manage and optimize cloud solution operations, focusing on performance, scalability, and cost-effectiveness.

6. Collaborate with cross-functional teams to understand data needs and provide solutions.

7. Implement data governance and security best practices.

8. Continuously improve data pipeline architecture and processes.

Additional Responsibilities :

1. Act as a technical liaison between our team and the customer, providing expert guidance and support.

2. Proactively identify opportunities for process improvement and data utilization.

3. Stay updated with the latest trends in data engineering and cloud technologies.

4. Participate in customer meetings to understand their evolving needs and propose innovative solutions.

5. Develop and maintain documentation for data processes and architectures.

Required Skills and Qualifications :

1. Bachelor's degree in Computer Science, Information Technology, or a related field.

2. 3-5 years of experience in data engineering or a similar role.

3. Strong proficiency in Databricks, Azure Analysis Services, and Azure Data Factory.

4. Expertise in data modeling, ETL processes, and data transformation techniques.

5. Solid understanding of cloud computing concepts and experience with Azure cloud services.

6. Proficiency in SQL and experience with NoSQL databases.

7. Knowledge of data visualization tools and reporting requirements.

8. Experience with version control systems (e.g., Git) and CI/CD pipelines.

9. Excellent problem-solving skills and attention to detail.

10. Strong communication skills and ability to explain complex technical concepts to nontechnical stakeholders.

Preferred Qualifications :

1. Experience with Python, Scala, or other programming languages commonly used in data engineering.

2. Familiarity with big data technologies such as Hadoop, Spark, or Hive.

3. Knowledge of data governance and compliance requirements.

4. Certifications in relevant Azure technologies or data engineering.

This role offers an exciting opportunity to work with cutting-edge technologies and make a significant impact on our customer's data infrastructure. The ideal candidate will be a self-starter with a passion for data engineering and a drive to deliver exceptional results.

Skills :

- Microsoft Azure

- Azure Databricks

- Azure Data Factory

- Confluence

- Python (Programming Language)

- Data Modelling

- Azure DevOps Service

- SQL

- Microsoft Power BI

(ref:hirist.tech)

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