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Lead Data Engineer

Arting Digital
Multiple Locations
8 - 12 Years
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4.8white-divider27+ Reviews

Posted on: 09/01/2026

Job Description

Posting title : Lead Data Engineer

Experience : 8+ Years

Location : Pune

Work mode : Hybrid

Primary skills : Data Engineer, Snowflake, Python, SQL Query, Data Modeling, Data Warehousing, AWS/ GCP/ Azure

Qualification : Any Technical Degree

Job Overview :

We are looking for an experienced Lead Data Engineer to lead solution delivery and manage a team of data engineers. This role involves designing and building scalable cloud-based data platforms.

Key Responsibilities :

- Lead end-to-end delivery of scalable, reliable, and high-quality data products.

- Design and implement data ingestion, cleansing, and transformation pipelines from diverse source systems into a cloud data lake

- Support advanced analytics, data warehousing, and data science initiatives

- Develop and present Conceptual, Logical, and Physical Data Models based on business requirements

- Architect and implement complex cloud-based data engineering solutions on AWS and/or GCP

- Collaborate closely with business stakeholders, analysts, and technical teams across multiple locations

- Mentor, coach, and support the continuous development of data engineers within the team

- Contribute to hiring, onboarding, and growing a high-performing data engineering team

- Drive best practices, innovation, and continuous improvement across the data engineering function

Technical Skills & Experience :


Must Have :


- Strong SQL expertise with experience across multiple source systems (including Microsoft SQL Server)

- Hands-on experience with Snowflake cloud data warehouse

- Experience using dbt for data transformation, testing, deployment, and monitoring

- Strong understanding of data modeling for structured and unstructured data

- Solid experience in Cloud Data Engineering on AWS and/or GCP

- Proficiency in Python or Java for data engineering and platform development

- Experience working in Agile delivery teams with CI/CD, DevOps, and DataOps practices

- AWS Experience (Required): Amazon S3, Managed Workflows for Apache Airflow (MWAA), AWS Glue, AWS Lambda, SNS & SQS, DynamoDB


Nice to Have :


- Experience with Tableau for building interactive dashboards and data visualizations


- Infrastructure as Code (IaC) using Terraform (or equivalent tools)

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