
Cloud Data Architect
1 week ago
Job Overview:
We are seeking a skilled data professional to design, develop, and optimize data pipelines and integration solutions in the cloud.
Key Responsibilities:
- Data Pipeline Development: Develop advanced ETL pipelines for batch data ingestion and egress using scalable architectures.
- Solution Design: Collaborate with stakeholders to gather requirements and propose efficient solution designs.
- Troubleshooting: Identify issues and implement effective root cause solutions.
- Data Quality: Ensure data quality, reliability, and adherence to best practices in data engineering.
- Documentation: Maintain detailed documentation of problem definitions, solutions, and architecture.
- Independence: Work independently with minimal supervision while ensuring project deadlines are met.
Required Skills & Qualifications:
- Azure Fundamentals: Microsoft Certified: Azure Fundamentals (preferred).
- Azure Data Engineer Associate: Microsoft Certified: Azure Data Engineer Associate (preferred).
- Programming Languages: Proficiency in SQL, Python, and Scala.
- Azure Cloud Services: Strong knowledge of Azure Cloud services, ADF, and Databricks.
- Apache Spark: Hands-on experience with Apache Spark (PySpark & Scala Spark).
- ETL Pipelines: Expertise in designing and implementing complex ETL pipelines for batch data.
- Troubleshooting: Strong troubleshooting skills with the ability to perform root cause analysis.
Benefits & Opportunities:
- Collaboration: Opportunity to collaborate with cross-functional teams to deliver high-quality solutions.
- Professional Growth: Chance to learn and grow professionally in a dynamic environment.
- Recognition: Recognition for individual and team contributions to company success.
About Us:
We offer a collaborative and innovative work environment that values diversity, equity, and inclusion. We prioritize employee well-being and provide opportunities for growth and development. Our goal is to make a positive impact on society through technology and innovation.
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