
Senior Cloud Data Architect
1 week ago
We are seeking a Senior Software Development Engineer – Data Engineering to design, build, and optimize data pipelines and analytics workflows using Snowflake, Databricks, and Apache Spark.
The ideal candidate will have strong expertise in big data processing, cloud data platforms, and performance optimization to support scalable, data-driven solutions.
Responsibilities:- Data Pipeline Development: Design and develop scalable data pipelines for ETL/ELT workflows
- Cloud Data Platform Expertise: Work with cloud data platforms (Azure, AWS, or GCP)
- Data Modeling and Warehousing: Implement data modeling and warehousing solutions using tools like Azure Synapse and Snowflake
- Data Storage Optimization: Optimize data storage in data lakes and data warehouses
- Data Quality Assurance: Ensure data quality through validation, cleansing, and error handling
- Collaboration: Collaborate with data analysts, architects, and software engineers to deliver clean and usable datasets
- Data Security: Implement and manage data access controls and security protocols
- Troubleshooting: Troubleshoot and monitor data pipelines, notebooks, and SQL workflows
- Dashboards and Reports: Develop dashboards and reports using Power BI, with hands-on experience in DAX and Power Query
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- 3–5 years of hands-on experience in data engineering and big data environments
- Proficiency in SQL, Python, or Scala
- Experience with Apache Spark, Databricks, and Snowflake
- Strong working knowledge of Azure Data Factory, Azure Synapse, and/or Microsoft Fabric
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