
Advanced Data Pipelines Specialist
2 days ago
We are seeking a skilled Cloud Data Engineer to engineer reliable data pipelines for sourcing, processing, distributing, and storing data in various ways using cloud data platform infrastructure.
Key Responsibilities:
- Design and engineer scalable data pipelines for sourcing, processing, distributing, and storing data using cloud data platform infrastructure.
- Develop innovative data engineering techniques to automate manual processes and address challenging business problems.
- Implement and maintain robust data quality and validation checks within enterprise data lakes.
- Collaborate with cross-functional teams to understand data requirements and deliver agile solutions.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 4+ years of experience working with Big Data Technologies such as Apache Spark, Kafka, and Data Lakes.
- 2+ years of experience with Databricks capabilities related to data engineering (Legacy Migration, Delta Lake, Pipeline modernization).
- Proficiency in writing code in either Python or Scala, with strong skills in SQL (stored procs & triggers, dynamic SQL, query optimization).
- Hands-on experience with at least one of the leading public cloud data platforms (Azure / AWS / GCP).
- Familiarity with data validation and quality frameworks, as well as data lineage frameworks.
Preferred Qualifications:
- Databricks Certified Data Engineer Associate/Professional Certification.
About This Role:
This role offers an opportunity to work on a variety of projects, develop your skills, and contribute to the growth of our organization. We provide a collaborative environment where you can grow and thrive as a Cloud Data Engineer.
Growth Opportunities:
We offer opportunities for professional development, training, and career advancement. Our team is committed to supporting your growth and helping you achieve your goals.
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