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Azure Data Engineer

1 month ago

Bangalore Urban, India LTIMindtree Full time

Skill: Azure Data engineer

Primary: ADF, ADB, Py spark ,Delta Lake

Secondary: Synapse

Experience: 8-10 yrs

Location: Only Bangalore

Notice period: Immediate joiner(Ready to join in Feb 2025)

JD: Lead Data Engineer

Job Description:

Lead Data Engineer utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design. A Senior Data Engineer designs and oversees the entire data infrastructure, data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective.


Key Responsibilities:

• Design and overseeing the entire data architecture strategy.

• Mentor junior data architects to ensure skill development in alignment with the team strategy.

• Design and implement complex scalable, high-performance data architectures that meet business requirements.

• Model data for optimal reuse, interoperability, security and accessibility.

• Develop and maintain data flow diagrams, and data dictionaries.

• Collaborate with stakeholders to understand data needs and translate them into technical solutions.

• Ensure data accessibility through a performant, cost-effective consumption layer that supports use by citizen developers, data scientists, AI, and application integration.

• Ensure data quality, integrity, and security across all data systems.


Qualification:

• Experience in Erwin, Azure Synapse, Azure Databricks, Azure DevOps, SQL, Power BI, Spark, Python, R.

• Ability to drive business results by building optimal cost data landscapes.

• Familiarity with Azure AI/ML Services, Azure Analytics: Event Hub, Azure Stream Analytics, Scripting: Ansible

• Experience with machine learning and advanced analytics.

• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

• Understanding of CI/CD pipelines and automated testing frameworks.

• Certifications such as AWS Certified Solutions Architect , IBM certified data architect or similar are a plus.