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Lead Data Engineer

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Job Description - Lead Data Engineer

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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