Senior Data Engineer (BGC)
Summary
Design and build scalable ETL/ELT pipelines and cloud-native data platforms using Python, SQL, and tools like Databricks or Snowflake.
We're Hiring: Senior Data Engineer
Location: BGC (Hybrid – 3 Days RTO per Week)
Employment Type: Contract
Salary: Competitive (Based on Experience)
We're looking for a Senior Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms. This role is ideal for experienced professionals with a strong background in modern data engineering, cloud technologies, and enterprise data solutions.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
Build and optimize enterprise-grade data platforms and cloud-native data solutions.
Collaborate with cross-functional teams to support data integration, transformation, and analytics initiatives.
Ensure data quality, reliability, and performance across modern cloud environments.
Required Experience
8+ years of Data Engineering experience with large-scale data pipelines and enterprise/cloud-based data platforms.
Proven experience designing, building, and optimizing scalable data solutions.
Required Skills (Top 3)
Python (Advanced) – Strong hands-on experience in data transformation, automation, and pipeline development.
SQL (Intermediate to Advanced) – Complex queries, data modeling, and performance tuning.
Modern Data Platforms – Hands-on experience with Databricks and/or Snowflake.
Preferred Skills
Microsoft Azure (Azure Data Factory, Azure Synapse Analytics, Azure Storage)
Cloud-native data architecture and enterprise cloud ecosystems
Data warehousing, data modeling, and performance optimization
Experience with scalable cloud-based data engineering best practices
-JAC