Sql developer • seattle wa
Job Description:</u></b></p> <p>MANDATORY SKILLS:</p> <p>- Azure Data Factory (ADF)</p> <p>- Databricks (PySpark, Unity Catalog)</p> <p>-... Show more
Amazon Aurora DSQL is a serverless, distributed SQL database with virtually unlimited scale, highest availability, and zero infrastructure management.Aurora DSQL provides active-active high availab... Show more
Does working on a new, serverless database technology excite you? The Aurora DSQL team at AWS is building revolutionary transactional database technology, delivering innovative customer experiences... Show more
Go Developer to join our growing team.As a Go Developer, you will be responsible for designing, developing, and maintaining high-performance and scalable applications using the Go programming langu... Show more
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations.We leverage cutt... Show more
Anaplan experience is the primary requirement.Looking for someone with Level 3 – Solution Architecture Certification.Year Experience working with cross functional teams.Experience with program... Show more
Must Have Skills: Business Analyst, Advanced SQL, Tableau/Amazon QuickSight, AWS stack Nice to have skills: Migration experience especially from Tableau to QuickSight will be great, Good communicat... Show more
The average salary range is between $ 97,500 and $ 145,000 year , with the average salary hovering around $ 100,450 year .
The average salary range is between $ 91,891 and $ 135,005 year , with the average salary hovering around $ 107,281 year .
Job Description:
MANDATORY SKILLS:
- Azure Data Factory (ADF)
- Databricks (PySpark, Unity Catalog)
- Python & SQL (advanced)
- Apache Spark (data processing)
- Delta Lake (ACID, schema evolution, partitioning)
- Medallion Architecture (Bronze, Silver, Gold)
- Azure Services (ADLS Gen2, Azure SQL DB, Blob Storage, Key Vault, Event Hub)
- Data Pipeline Engineering (batch & real-time)
- Data Quality & SLA monitoring
- CI/CD (Azure DevOps / GitHub Actions)
- Git (version control)
JOB DESCRIPTION:
We are seeking a Data Engineer to build and maintain scalable data pipelines and lakehouse infrastructure on Azure for enterprise analytics.
Key Responsibilities:
- Design and build ETL/ELT pipelines using Azure Data Factory and Databricks (PySpark)
- Implement Medallion Architecture (Bronze Silver Gold)
- Optimize big data pipelines for performance, scalability, and reliability
- Ensure SLA-based data quality and pipeline consistency
- Perform root cause analysis and improve pipeline reliability
- Build and manage incremental data loads (CDC, watermarking)
- Implement monitoring and logging using Azure tools
- Collaborate with BI teams to support Power BI dashboards
- Implement CI/CD pipelines and DevOps practices
- Manage multiple pipeline projects and communicate with stakeholders
Experience:
- 4 8 years of Data Engineering experience
- Strong experience with Azure ecosystem and big data platforms
Domain Expertise:
- Enterprise data platforms and analytics
- Data warehousing and lakehouse architecture
Key Skills:
- Strong problem-solving and analytical ability
- Experience working with large-scale distributed data systems
- Ability to manage multiple priorities in Agile environments
PREFERRED QUALIFICATIONS (TOOLS & ADVANCED CAPABILITIES):
- Microsoft Fabric (Lakehouse, OneLake, Fabric Pipelines)
- Streaming Technologies (Azure Event Hub, Spark Structured Streaming)
- Advanced Data Modeling (Star Schema, SCD Type 1/2/3)
- Data Observability & Monitoring tools
- Executive reporting support via Power BI semantic models
