Lead Data Engineer

10 hours ago

Hyderabad, Telangana, India Proclink Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Description
Proclink is looking for Data Engineer Lead.

Experience :
9+ years.

Location :
Hyderabad.

Position Overview
We are seeking an experienced Data Engineer with over 10 years of experience in designing, developing, and optimizing enterprise-scale data solutions.

The ideal candidate will lead our data engineering strategy, architect cloud-based data platforms, and mentor engineering teams to deliver scalable and reliable data systems that power business intelligence, AI, and analytics.

Roles & Responsibilities

  • Design and implement modern data architectures across cloud and hybrid environments.
  • Develop and optimize data pipelines and ETL/ELT processes for high-volume, high-velocity data.
  • Lead data platform modernization initiatives using cutting-edge tools and frameworks.
  • Define and enforce data governance, security, and compliance standards.
  • Partner with Data Science, BI, and Product teams to ensure data availability, accuracy, and performance.
  • Provide technical leadership and mentorship to data engineers and developers.
  • Implement DevOps/Data Ops practices for automated testing, deployment, and monitoring.
  • Continuously evaluate and introduce innovative data technologies that enhance efficiency and scalability.
  • Translate business requirements into robust and scalable technical data solutions.
  • Support real-time and streaming data architectures for analytics and ML workloads.
  • Designing and developing REST APIs / Azure App Services and implementing Azure PaaS solutions.

Required Skills & Qualifications

  • Bachelors or masters in computer science, Engineering, or related field.
  • 10+ years in Data Engineering or Data Architecture roles.
  • Expertise in Python, SQL, Spark, Kafka, and Airflow.
  • Proven experience with cloud platforms (AWS, Azure, or GCP).
  • Hands-on experience with Snowflake, Databricks, or Delta Lake.
  • Strong understanding of data modelling, governance, and lineage tools.
  • Excellent problem-solving, leadership, and communication skills.

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