Data Enginner
6 months ago
Founded in the year 2017, CoffeeBeans specializes in offering high end consulting services in technology, product, and processes. We help our clients attain significant improvement in quality of delivery through impactful product launches, process simplification, and help build competencies that drive business outcomes across industries. The company uses new-age technologies to help its clients build superior products and realize better customer value. We also offer data-driven solutions and AI-based products for businesses operating in a wide range of product categories and service domains
- **What Will You Be Doing?**
- Designing, developing, and maintaining scalable data pipelines using Apache Spark, SQL, and either Python or Java.
- Collaborating with cross-functional teams to understand data requirements and translate them into technical solutions.
- Implementing and optimizing data processing algorithms and workflows on cloud platforms, particularly Azure.
- Building and maintaining data warehouses and data lakes to store and manage large volumes of structured and unstructured data.
- Developing and maintaining ETL processes to extract, transform, and load data from various sources into data repositories.
- Monitoring and troubleshooting data pipelines to ensure reliability, availability, and performance.
Implementing data governance and security measures to protect sensitive data assets.- Providing technical guidance and support to junior team members and stakeholders.
**What Are We Looking For?**
Must Have:
- 6+ years of experience in data engineering or related roles.
- Proficiency in Apache Spark for distributed data processing.
- Strong SQL skills for data querying and manipulation.
- Hands-on experience with cloud platforms, particularly Azure.
- Familiarity with Kubernetes for container orchestration.
- Good to Have and Willing to Pick Up:
- Familiarity with Apache Airflow for workflow automation.
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