Key Responsibilities:
- Design and implement scalable data architecture and end-to-end ETL/ELT pipelines
- Analyze diverse data sources and create high-quality, structured data layers
- Lead large-scale data migrations to cloud-based platforms (Azure, AWS, GCP)
- Optimize complex SQL queries and database performance
- Collaborate with analysts, data scientists, and business stakeholders
- Ensure data governance, quality, and regulatory compliance
- Mentor junior engineers and promote engineering best practices
Qualifications:
- 8+ years in data engineering and architecture
- Strong experience with cloud platforms (Azure, AWS, GCP) and big data tools (Spark, Hadoop)
- Hands-on with modern data warehouses (Snowflake, Azure Synapse)
- Expertise in SQL, data pipelines (Airflow, Data Factory), and database tuning
- Knowledge of data governance frameworks (GDPR, HIPAA)
Skills Required
- 8+ years in data engineering and architecture
- Strong experience with cloud platforms (Azure, AWS, GCP) and big data tools (Spark, Hadoop)
- Hands-on with modern data warehouses (Snowflake, Azure Synapse)
- Expertise in SQL, data pipelines (Airflow, Data Factory), and database tuning
- Knowledge of data governance frameworks (GDPR, HIPAA)
What We Do
We are a global team who's passionate about transformative enterprise solutions & intelligent design. Our solutions and designs are out to reshape the way people interact with technology. BlackStone eIT supplies innovative solutions to automate and digitally transform human and information intensive processes. We empower breakthrough business results with smarter workflows, augmented business intelligence with AI insights, and through real-time situational awareness which all drive better business outcomes. BlackStone offers a portfolio of next generation solutions, tools, and technologies to be used as a platform to transform traditional organizations into modern smart organizations. Our solutions are designed to dramatically reduce operating costs, increase competitiveness, mitigate risk, boost internal productivity, improve the customer and employee experience, and to make the previously impossible, possible
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