🌍 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 .