
Senior Data Solutions Architect
1 day ago
Job Description:
- As a key member of our organization, you will be responsible for designing, developing and maintaining data pipelines and ETL processes on Databricks.
- You will lead the architecture and implementation of scalable, secure, and high-performance data solutions.
- Collaboration with business stakeholders, data scientists, and analysts is crucial to gather requirements and deliver actionable data solutions.
- Optimizing data workflows for performance, cost-efficiency, and reliability is a top priority.
- You will integrate data from multiple structured and unstructured sources into Delta Lake and cloud data warehouses.
- Implementing best practices in data governance, security, and quality management is essential.
- Mentoring junior engineers and providing technical leadership in data engineering best practices is also required.
- Troubleshooting and resolving issues in data pipelines, ensuring high data availability and integrity, is a critical task.
Required Skills & Experience:
- At least 7 years of experience in Data Engineering.
- Proven expertise in Databricks (including Databricks SQL, Delta Lake, and MLflow).
- Strong experience with PySpark, Spark SQL, and Scala programming languages.
- Hands-on experience with cloud platforms, preferably Azure, but AWS/GCP are also acceptable.
- Proficiency in data modeling, ETL development, and data warehousing concepts.
- Solid understanding of big data ecosystems, including Hadoop and Kafka.
- Strong SQL development skills with a focus on performance tuning.
- Experience in implementing CI/CD pipelines for data solutions is highly desirable.
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