Data Engineering Lead

Job Title: Data Engineering Lead

Location: Bengaluru/Hyderabad

Experience: 8 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.

Education : BE/ME/B.Tech/M.Tech/BCA/MCA/Bsc/Msc