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Job Title:  Deputy Manager | Data Engineering | Bengaluru | Engineering as a Service/ Operate

Job Title: Data Engineering Lead

Location: Bengaluru

Experience: 8-10 Years

About the Role

We are looking for a hands-on Data Engineering Lead  to lead the design, implementation, and delivery of large-scale cloud-based data engineering solutions. The ideal candidate will have strong expertise in data lakes, cloud platforms, ETL/ELT pipelines, and modern data architecture while managing technical teams and client engagements from pre-sales through project delivery.

Key Responsibilities

  • Lead the design and implementation of scalable cloud-based data engineering solutions and data lakes.
  • Drive pre-sales activities, including client discussions, solution design, technical proposals, and Proof of Concepts (PoCs).
  • Design secure and scalable data storage architectures using AWS, Azure, or GCP.
  • Build and optimize ETL/ELT pipelines using Apache Spark, Databricks, AWS Glue, Azure Data Factory, or similar technologies.
  • Develop efficient data transformation and processing workflows using serverless technologies such as AWS Lambda, Azure Functions, or Google Cloud Functions.
  • Implement data governance, security, and data quality frameworks.
  • Collaborate with data scientists, BI teams, and business stakeholders to enable reliable analytics.
  • Lead and mentor a team of data engineers throughout the project lifecycle.
  • Optimize cloud infrastructure, storage, and processing costs while maintaining performance and reliability.
  • Ensure successful project delivery aligned with client and business objectives.

Required Skills

  • 5+ years of hands-on experience in Data Engineering and cloud-based data solutions.
  • Strong expertise in AWS, Azure, or Google Cloud Platform.
  • Experience designing and implementing Data Lakes.
  • Hands-on experience with Apache Spark, Databricks, AWS Glue, Azure Data Factory, or similar ETL tools.
  • Experience with serverless computing (AWS Lambda, Azure Functions, Google Cloud Functions).
  • Strong understanding of data governance, data quality, security, and compliance.
  • Experience with Docker and Kubernetes.
  • Strong programming skills in SQL, Python, Scala, or Java.
  • Experience with cloud data warehouses such as Amazon Redshift, Google BigQuery, or Azure Synapse.
  • Proven leadership experience managing technical teams and delivering projects from pre-sales through implementation.
  • Excellent communication and stakeholder management skills.

Preferred Qualifications

  • Experience with AWS Lake Formation, Azure Purview, or Google Data Catalog.
  • Cloud certifications (AWS, Azure, or GCP).
  • Experience with CI/CD pipelines and DevOps practices.

 

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