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Lead data engineer

3 months ago

Kakinada, India Top Tier Talent Partners Full time

Job Highlights

• Lead the design, development, and implementation of data pipelines using Python/PySpark,

ensuring scalability, reliability, and efficiency.

• Provide technical leadership in architecting and implementing Azure ETL solutions utilizing

Azure services like Blob Storage, Data Lake, Data Factory, and Synapse.

• Collaborate with cross-functional teams to gather and understand business requirements,

translating them into technical specifications.

• Mentor and guide junior team members in best practices for building and maintaining data

pipelines on the Azure platform.

• Proven ability to work effectively in a collaborative team environment and communicate

technical concepts to non-technical stakeholders.

Tags

• Python/PySpark

• Azure ETL

• Blob Storage, Data Lake, Data Factory, Databricks and Synapse

• Data Warehousing, Extract Transform Load

• SQL

• GIT, Azure DevOps, JIRA

Job description

• 8+ years of experience with Data Warehousing for different domains and projects.

• 5+ years of experience in building data pipelines with Python/PySpark.

• Professional experience in Azure ETL stack, including Blob Storage, Data Lake, Data Factory,

Synapse, Azure Functions, Logic Apps, Azure DevOps, Virtual Machine, etc.

• 8+ years of experience with SQL, including proficiency in writing complex queries, stored

procedures, and functions.

• Strong understanding of code versioning tools such as GIT and project management tools

like Azure DevOps, Jira.

• Excellent problem-solving and analytical skills with attention to detail.

• Ensure adherence to coding standards, documentation, and best practices in data

engineering.

• Azure certifications (e.g., Azure Data Engineer Associate) are a plus.

Role: Lead Data Engineer

Functional Area: Data

Employment Type: Full Time, Permanent

Role Category: Data Engineer


Education-

UG: B.Sc in Any Specialization, BCA in Any Specialization, B.Tech/B.E. in Any Specialization


PG: Any Postgraduate