Senior Azure Data Engineer

2 weeks ago


Gurgaon, Haryana, India Kool KodersOWOW Full time

Key Responsibilities:

Design and Develop Large-Scale Data Processing Pipelines

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

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

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

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:

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

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

- Extensive experience with Databricks and Azure

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

- Professional development opportunities and continuous learning

Kool Koders/OWOW offers a dynamic work environment that fosters collaboration and innovation. If you are a motivated and experienced data engineer, we encourage you to apply.



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