Senior Data Engineer – Cloud Data Solutions

About the Role

We’re seeking a  Senior Data Engineer  with strong expertise in  SQL, Talend, Google Cloud Platform (GCP) BigQuery , and  Microsoft Azure  to join our growing data engineering team.

In this role, you’ll be responsible for designing, developing, and optimizing high-performance data pipelines and cloud-based data architectures that power analytics and business decision-making across the organization.

You’ll collaborate closely with data analysts, data scientists, and business stakeholders — ensuring data is accurate, scalable, and always available for insight generation.

What You’ll Do

Develop and Optimize SQL Solutions :  Write complex SQL queries, stored procedures, and indexing strategies to ensure top-tier performance.

Build & Maintain ETL Pipelines :  Design and manage robust ETL / ELT workflows using  Talend , integrating data from multiple systems.

Architect Cloud Data Platforms :  Manage and optimize data storage and workflows on  GCP BigQuery  and  Azure SQL / Synapse Analytics .

Automate Workflows :  Use tools like  Apache Airflow  or  Azure Data Factory  to orchestrate and schedule automated data processes.

Ensure Data Quality & Governance :  Implement standards for data security, consistency, and compliance across cloud environments.

Collaborate & Mentor :  Partner with cross-functional teams and provide technical guidance to junior engineers.

Required Skills & Experience

7+ years of experience in  data engineering  or  database development .

Expert-level  SQL  knowledge — including optimization, indexing, and stored procedures.

Hands-on experience with  Talend  for ETL / ELT pipeline development.

Strong working knowledge of  GCP BigQuery  and  Azure SQL / Synapse Analytics .

Solid understanding of  data modeling  (relational and dimensional) and  cloud data architecture .

Proficiency in  Python  or  Shell scripting  for automation.

Familiarity with  CI / CD ,  Git , and  DevOps practices  for data workflows.

Nice to Have

Experience with  Apache Airflow  or  Azure Data Factory  for orchestration.

Exposure to  real-time data streaming  (Kafka, Pub / Sub, Event Hubs).

Cloud certifications  such as Google Professional Data Engineer or Azure Data Engineer Associate.

Why Join Us?

Work on  cutting-edge data engineering projects  in a modern cloud environment.

Lead innovation in  SQL-driven, cloud-first data solutions .

Collaborate within a  dynamic, agile team  focused on impact and scalability.

Access opportunities for  career growth, leadership , and  cloud certifications .