Assistant Manager | Data Engineering | Pune | Engineering as a Service/ Operate

Deloitte & Touche GmbH Wirtschaftsprüfungsgesellschaft; Pune District; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

Deloitte & Touche GmbH Wirtschaftsprüfungsgesellschaft in Pune, India seeks a hands-on Data Engineering Lead to design, implement, and deliver large-scale cloud data solutions, guiding a technical team and client engagements.

The ideal candidate has 8–10 years of experience with data lakes, multi-cloud platforms, Spark/Databricks, and governance, and will drive pre-sales through project delivery.

Qualifications

• 8–10 years of hands-on Data Engineering experience.
• Strong cloud platform expertise (AWS, Azure, GCP).
• Experience with data lakes and scalable ETL/ELT pipelines.
• Proficient in Spark-based tooling (Databricks, AWS Glue, Data Factory).
• Experience with serverless data processing and data governance.
• Strong leadership and client-engagement skills.

Responsibilities

• Lead design and delivery of cloud-based data engineering solutions.
• Drive pre-sales activities and PoCs with clients.
• Design secure, scalable data storage architectures.
• Build and optimize ETL/ELT pipelines.
• Mentor a team of data engineers.
• Ensure project delivery aligns with objectives.
• Collaborate with data scientists and BI teams.

Skills

Cloud platforms (AWS/Azure/GCP)

Data Lakes

Spark/Databricks

ETL/ELT pipelines

Serverless computing

Data governance & security

Docker & Kubernetes

SQL/Python/Scala/Java

Leadership & mentoring

Stakeholder management

Tools

Apache Spark

Databricks

AWS Glue

Azure Data Factory

BigQuery

Redshift

Synapse

Docker

Kubernetes

Serverless platforms (Lambda/Functions)

Job description

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Job Title: Assistant Manager | Data Engineering | Pune | Engineering as a Service/ Operate

Job Title: Data Engineering Lead

Experience: 8-10 Years

About the Role

We are looking for a hands-on Data Engineering Leadto 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.