
Chief Data Architect
4 days ago
We are seeking a skilled Data Engineer to contribute to the design, development, and maintenance of data pipelines, systems, and solutions that enable informed business decisions.
- Key Responsibilities:
- Design, develop, and maintain data-intensive solutions using programming languages like Python and PySpark.
- Deep knowledge of Big Data querying and analysis tools, such as PySpark, Hive, Snowflake, and Databricks.
- Broad expertise in at least one Cloud platform like AWS/GCP/Azure.
- Working knowledge of automation and deployment tools such as Airflow, Jenkins, GitHub Actions, etc., as well as infrastructure-as-code technologies like Terraform and CloudFormation.
Requirements:
- Bachelor's / Master's degree in computer science engineering/technology.
- At least 4-6 years within relevant domain of Data Engineering across industries and work experience providing analytics solutions in a commercial setting.
- Proficient understanding of distributed computing principles including management of Spark clusters, with all included services - various implementations of Spark preferred.
Preferred Qualifications:
- Software engineering concepts and best practices, like API design and development, testing frameworks, packaging etc.
- Experience with NoSQL databases, such as HBase, Cassandra, MongoDB.
- Knowledge on web development technologies.
- Understanding of different stages of machine learning system design and development.
Benefits:
- Collaborative and dynamic work environment.
- Opportunities for professional growth and development.
If you have a passion for data engineering, we encourage you to apply. Please submit your resume and a cover letter outlining your relevant experience and qualifications.
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