We are seeking an experienced Data Engineer with over 5 years of expertise in designing and implementing modern, cloud-based data solutions, with a primary focus on Google Cloud Platform (GCP) and Microsoft Azure, and additional exposure to AWS.
The ideal candidate is skilled in building scalable data platforms, orchestrating efficient data pipelines, and enabling analytics through Microsoft Fabric, BigQuery, and related technologies.
Cloud Platform Expertise
GCP Focus: Hands-on experience with BigQuery, Dataflow, Pub/Sub, Composer (Airflow), Cloud Storage, and Cloud Functions, building end-to-end ingestion, transformation, and analytics solutions.
Azure Expertise: Proficiency in Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS), and Azure SQL Database.
Fabric Integration: Familiarity with Microsoft Fabric — integrating Data Pipelines, Dataflows Gen2, Lakehouses, and Notebooks to streamline ingestion, transformation, and reporting.
AWS Exposure: Working knowledge of AWS Glue, S3, Lambda, and Redshift for data processing and analytics.
Proven ability to design, build, and maintain ETL/ELT pipelines, data models, and data warehouses across multi-cloud environments (GCP, Azure, AWS).
Experience implementing data lakehouse architectures and Fabric-based workflows to enable unified analytics.
Strong experience with Power BI and Looker Studio to deliver dynamic data models, semantic layers, and interactive dashboards.
Ability to integrate reporting across Fabric, BigQuery, and Synapse ecosystems.
Proficient in SQL and Python, developing reusable, scalable scripts for data transformation, validation, and orchestration.
Experience with Airflow (Composer), ADF, and Databricks Workflows for job orchestration.
Experienced with Azure SQL, PostgreSQL, BigQuery, MySQL, and SQL Server, ensuring data accuracy, security, and performance optimization.
Proficient in Git, with exposure to CI/CD practices for deploying and maintaining data pipelines and Fabric / GCP artifacts in multi-environment setups.
Analytical thinker who translates complex business needs into data-driven solutions.
Excellent communication and stakeholder management skills across business and technical teams.
Collaborative, proactive, and detail-oriented professional who thrives in fast-paced, multi-cloud environments.
Skills Required
- Over 5 years of experience designing and implementing modern cloud-based data solutions
- Hands-on experience with Google Cloud Platform, including BigQuery, Dataflow, Pub/Sub, Cloud Composer, Cloud Storage, and Cloud Functions
- Proficiency with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL Database
- Familiarity with Microsoft Fabric Data Pipelines, Dataflows Gen2, Lakehouses, and Notebooks
- Working knowledge of AWS Glue, S3, Lambda, and Redshift
- Experience designing and maintaining ETL/ELT pipelines, data models, and data warehouses across multi-cloud environments
- Experience implementing data lakehouse architectures and Fabric-based workflows
- Strong experience with Power BI and Looker Studio
- Proficiency in SQL and Python
- Experience with Airflow, Azure Data Factory, and Databricks Workflows for orchestration
- Experience with Azure SQL, PostgreSQL, BigQuery, MySQL, and SQL Server
- Proficiency with Git and exposure to CI/CD practices
- Excellent communication and stakeholder management skills
What We Do
AI driven technology solutions for modern enterprises. We help organizations transform, scale, and innovate through a combination of artificial intelligence and advanced software engineering. By applying intelligent automation and data driven systems, businesses can simplify operations, improve efficiency, and unlock new growth opportunities. Our expertise includes AI strategy and consulting to identify high impact opportunities, AI development to build machine learning models and predictive systems, and intelligent automation to streamline workflows and boost productivity. We also deliver cloud migration, application modernization, embedded systems, and digital product engineering to help businesses move beyond legacy limitations and build scalable, future ready solutions. With a strong focus on results, we enable faster time to market, reduced operational costs, and improved performance across critical business functions. Every solution is tailored to specific goals, ensuring measurable outcomes and long term value. Take the next step toward smarter growth. Contact us now for a consultation and start transforming your business today.
