Senior Azure Data Engineer

1 month ago

Gurugram, India Kool KodersOWOW Full time

Key Responsibilities :

Design and Development :

- Design, develop, and optimize large-scale data processing pipelines using Databricks on Azure.

- Implement ETL processes to ingest and transform data from various sources into our data platform.

- Develop scalable and efficient data models to support analytics and reporting needs.

Azure Integration :

- Integrate Databricks with Azure services such as Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, and Azure Machine Learning.

- Utilize Azure DevOps for continuous integration and continuous deployment (CI/CD) of data solutions.

SaaS Product Exposure :

- Collaborate with product teams to understand data requirements and integrate SaaS product data into the data platform.

- Develop data solutions that support SaaS product analytics and reporting.

Performance Optimization :

- Monitor and optimize the performance of data pipelines and queries.

- Implement best practices for data governance, security, and compliance.

Collaboration and Leadership :

- Work closely with data scientists, analysts, and other stakeholders to understand data needs and deliver solutions.

- Mentor and guide junior engineers, promoting best practices and knowledge sharing within the team.

Documentation and Reporting :

- Maintain comprehensive documentation of data engineering processes, designs, and solutions.

- Generate reports and dashboards to provide insights into data platform performance and usage.

Qualifications :

Education :

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

Experience :

- Minimum of 8-10 years of experience in data engineering or related roles.

- Extensive experience with Databricks and Azure.

- Proven experience with SaaS products and integrating their data into data platforms.

Technical Skills :

- Proficiency in Spark, SQL, Python, and Scala.

- Strong understanding of Azure services and architecture.

- Experience with data warehousing, ETL/ELT processes, and data modeling.

- Knowledge of CI/CD practices and tools, particularly Azure DevOps.

Soft Skills :

- Excellent problem-solving and analytical skills.

- Strong communication and collaboration abilities.

- Ability to work independently and lead projects.

Preferred Qualifications :

- Certifications in Databricks, AWS, Azure, or related Cloud technologies.

- Experience with machine learning and AI integration.

- Familiarity with data visualization tools like Power BI or Tableau.

Benefits :

- Competitive salary and performance-based bonuses.

- Comprehensive health insurance including Parents.

- Complementary Buffet Meal Everyday.

- Professional development opportunities and continuous learning.

(ref:hirist.tech)

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