Data Engineering Solutions Architect
5 days ago
We are seeking an experienced Data Engineering Solutions Architect to join our team at Anblicks.
About the Role:
This is a senior-level position that requires in-depth expertise in designing, developing, and implementing data engineering solutions using next-generation data techniques. The ideal candidate will have extensive experience working with big data technologies such as Hadoop, Apache Spark, and cloud-based platforms like AWS, Azure, or GCP.
Key Responsibilities:
- Design and develop scalable data pipelines for data ingestion, transformation, and processing.
- Partner with domain experts, product managers, analysts, and data scientists to develop and implement data products/solutions.
- Migrate legacy workloads to cloud-based platforms and ensure seamless integration with existing systems.
- Develop Client pipelines using heterogeneous sources and provide engineering services for data science applications.
- Implement automation through CI/CD across platforms both in cloud and on-premises environments.
- Evaluate new IT developments and evolving business requirements to recommend appropriate systems alternatives and/or enhancements.
Requirements:
- 8+ years of total IT experience with 5+ years of experience in Hadoop/big data technologies.
- Advanced knowledge of the Hadoop ecosystem and Big Data technologies.
- Hands-on experience with Java, Scala, Python, and programming languages.
- Expertise in Spark programming (PySpark, Scala, Java) and containerization technologies like Docker and Kubernetes.
- Exposure to DevOps practices and proficiency in programming languages like Java or Python.
- Strong system-level understanding of data structures, algorithms, distributed storage, and compute.
- Excellent communication and teamwork skills, with experience leading a team of data engineers and analysts.
Benefits:
- A competitive salary range of $120,000 - $160,000 per year.
- A comprehensive benefits package including health insurance, retirement plans, and paid time off.
- Ongoing training and professional development opportunities.
- A collaborative and dynamic work environment.
Education:
Bachelor's degree/University degree or equivalent experience.
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