
Chief Data Architect
15 hours ago
We are seeking a highly skilled data engineer to design and develop data pipelines and data integration solutions in a cloud-based environment.
Key Responsibilities:
- Design and develop advanced ETL pipelines for data ingestion and egress for batch data, utilizing industry-leading tools such as Azure Data Factory and Databricks.
- Bulk scalable data solutions using Spark (PySpark & Scala Spark) and other Azure services to drive business growth and efficiency.
- Troubleshoot complex data jobs, identify root causes, and implement effective solutions to minimize downtime.
- Collaborate with stakeholders to gather requirements and propose efficient solution designs that meet business objectives.
- Ensure data quality, reliability, and adherence to best practices in data engineering to protect business assets.
- Maintain detailed documentation of problem definitions, solutions, and architecture to facilitate knowledge sharing and collaboration.
- Work independently with minimal supervision while ensuring project deadlines are met and exceeding expectations.
Required Skills & Qualifications:
- Microsoft Certified: Azure Fundamentals certification is highly desirable.
- Proficiency in SQL, Python, and Scala programming languages to drive data insights and automation.
- Strong knowledge of Azure Cloud services, including ADF and Databricks, to architect scalable data solutions.
- Hands-on experience with Apache Spark (PySpark & Scala Spark) to drive real-time data processing and analytics.
- Expertise in designing and implementing complex ETL pipelines for batch data to drive business intelligence.
- Strong troubleshooting skills with the ability to perform root cause analysis to resolve complex issues.
Soft Skills:
- Excellent verbal and written communication skills to collaborate effectively with cross-functional teams.
- Strong documentation skills to draft clear problem definitions and solutions, facilitating knowledge sharing and collaboration.
- Ability to effectively gather requirements and propose solution designs that meet business objectives.
- Self-driven with the ability to work independently with minimal supervision, driving results and exceeding expectations.
This role requires a data engineer with strong technical expertise in Azure, data engineering tools, and advanced ETL design, along with excellent communication and problem-solving skills to drive business success.
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