Tezo

Data Engineering Manager

Hyderabad, TS, IN

12 days ago
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Summary

Job Title: Data Engineering Manager

Location: Hyderabad

Employment Type: Full-time

Role Overview


Seeking a highly skilled and modern Data Engineering Manager to lead technical teams in architecting and delivering cutting-edge data solutions across multiple cloud platforms. This role requires deep expertise in Azure, Snowflake, and Databricks, along with a strong background in data engineering, architecture, and analytics.


Key Responsibilities:

  • Solution Architecture: Design and implement modern, scalable, and high-performance data architectures across Azure cloud platforms
  • As a manager, you will drive end-to-end data solutioning, oversee data pipeline development, and ensure scalability, performance, and security while aligning solutions with business objectives.
  • Data Engineering & Integration: Develop, optimize, and manage ETL/ELT pipelines, data lakes, and real-time streaming solutions using Snowflake, Databricks, and cloud-native tools.
  • Cloud Data Platforms: Deploy and manage data warehousing, analytics, and lakehouse solutions on AWS (Redshift, Glue, S3), Azure (Synapse, ADF, Data Lake), GCP (BigQuery, Dataflow).
  • AI & ML Integration: Collaborate with data scientists to integrate AI/ML models into data pipelines and optimize analytics workflows.
  • Data Governance & Security: Implement data governance frameworks, compliance (GDPR, CCPA), role-based access controls, and best practices for security across multi-cloud environments.
  • Technical Leadership: Lead and mentor a team of data engineers, define best practices, and drive innovation in data engineering strategies.
  • Performance Optimization: Ensure cost-efficient and high-performance data processing, leveraging Spark, DBT, and cloud-native tools.
  • Cross-Cloud Integration: Design interoperable solutions that leverage multi-cloud capabilities for data movement, transformation, and analytics.
  • Stakeholder Management: Collaborate with business leaders, data analysts, and engineering teams to deliver data-driven solutions aligned with business needs.

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