Senior Data Engineer - ETL/Data Pipelines

About the Role :

We are looking for a highly skilled Data Engineer to join our growing data team. The ideal candidate should have strong expertise in ETL/ELT development, scalable data pipeline architecture, cloud platforms, and modern data transformation frameworks. Candidates with hands-on experience in GCP and BigQuery environments will be highly preferred.

This role offers an opportunity to work on large-scale data engineering initiatives, cloud-based analytics platforms, and modern data architecture solutions in a fast-paced, data-driven environment.

Key Responsibilities :

- Design, build, and maintain scalable data pipelines and ETL/ELT workflows.

- Develop transformation logic and data models using Dataform or dbt.

- Build and optimize cloud-based data solutions using GCP (BigQuery, GCS) or AWS/Azure platforms.

- Support data migration initiatives and contribute to data mesh architecture implementations.

- Collaborate with data analysts, data scientists, and business stakeholders to deliver reliable and scalable data products.

- Apply data governance, data quality, and best practices across the complete data lifecycle.

- Monitor, troubleshoot, and optimize data pipelines to ensure reliability and performance.

- Implement dimensional data models and manage Slowly Changing Dimensions (SCD Type 1 & Type 2).

- Write and optimize complex SQL queries for high-performance data processing.

- Develop scalable data processing solutions using Python and/or SQL.

Required Skills & Experience :

- Mandatory Requirements

i. 6+ years of hands-on experience in Data Engineering with strong ownership of end-to-end data pipeline development.

ii. Strong expertise in ETL/ELT pipeline design, workflow orchestration, and transformation logic.

iii. Hands-on experience with at least one of the following technologies : Dataform, dbt, or BigQuery.

iv. Strong working experience on cloud platforms such as GCP (preferred), AWS, or Azure.

v. Experience working with cloud object storage solutions including GCS, S3, or ADLS.

vi. Strong expertise in dimensional data modeling and implementation of SCD Type 1 and Type 2.

vii. Excellent SQL skills with experience in writing and optimizing complex queries.

viii. Strong programming experience in Python and/or SQL for data processing and automation.

ix. Proven experience in building, maintaining, and troubleshooting scalable data pipelines.

Preferred Skills :

i. Exposure to data migration projects and/or data mesh architecture concepts.

ii. Experience with Spark/PySpark or other large-scale data processing frameworks.

iii. Experience working in product-based organizations or highly data-driven environments.

iv. Bachelor's or Master's degree in Computer Science, Engineering, or related field.

What We're Looking For :

- Strong problem-solving and analytical thinking abilities.

- Ability to work independently and manage complex data engineering tasks.

- Excellent collaboration and stakeholder communication skills.

- Passion for building scalable and high-performance data systems.

Additional Information :

- Immediate joiners are highly preferred.

- Candidates should be thoroughly screened with accurate technical and project details before submission.