Data Engineer Lead

2 weeks ago

Bengaluru, Karnataka, India beBeeDataEngineer Full time ₹ 1,20,00,000 - ₹ 2,01,00,000
Unlock End-to-End Delivery of Databricks-Based Solutions

Succeed in a dynamic environment where innovation meets technology.

As a key member of our Databricks Squad, you will oversee the end-to-end delivery of Databricks-based solutions for clients, ensuring successful implementation, optimization, and scaling of big data and analytics solutions.

  • Lead and manage Databricks-based project delivery, aligning client requirements with best practices and industry standards.
  • Act as the subject matter expert (SME) on Databricks, providing guidance to teams on architecture, implementation, and optimization.
  • Collaborate with architects and engineers to design optimal solutions for data processing, analytics, and machine learning workloads.
  • Serve as the primary point of contact for clients, ensuring alignment between business requirements and technical delivery.
  • Maintain effective communication with stakeholders, providing regular updates on project status, risks, and achievements.
  • Oversee the setup, deployment, and optimization of Databricks workspaces, clusters, and pipelines.
  • Ensure that Databricks solutions are optimized for cost and performance, utilizing best practices for data storage, processing, and querying.
  • Continuously evaluate the effectiveness of the Databricks platform and processes, suggesting improvements or new features that could enhance delivery efficiency and effectiveness.
  • Drive innovation within the team, introducing new tools, technologies, and best practices to improve delivery quality.
Requirements:
  • Bachelor's degree in Computer Science, Engineering, or a related field (Master's or MBA preferred).
  • Relevant years in IT services with experience specifically in Databricks and cloud-based data engineering.
  • Proven experience in leading end-to-end delivery of data engineering or analytics solutions on Databricks.
  • Strong experience in cloud technologies (AWS, Azure, GCP), data pipelines, and big data tools.
  • Hands-on experience with Databricks, Spark, Delta Lake, MLflow, and related technologies.
  • Expertise in data engineering concepts, including ETL, data lakes, data warehousing, and distributed computing.
Key Skills:
  • Cloud Computing
  • Big Data Tools
  • Machine Learning
  • Data Engineering
  • Distributed Computing

This role is an exciting opportunity for individuals who want to drive change and growth in their careers. If you have a passion for innovation and a desire to make a lasting impact, we encourage you to apply.

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