Data Engineer
We're looking for a Data Engineer to evolve our data infrastructure, optimize data flows, and guarantee data availability and quality. You will partner closely with data scientists and analysts to keep a consistent, scalable data delivery architecture across all ongoing projects.
Responsibilities
* Design, build, install, test, and maintain highly scalable data management systems.
* Ensure solutions meet business requirements and industry best practices.
* Integrate/re-engineer emerging data-management and software-engineering technologies into existing data stacks.
* Define and document standardized processes for data mining, data modeling, and data production.
* Use a variety of languages and tools to stitch systems together (e.g., Python, SQL).
* Recommend improvements to increase data reliability, efficiency, and quality.
* Collaborate with data architects, modelers, and IT teams to align on project goals.
Requirements
* Bachelor's/Master's degree in Computer Science, Engineering, or related field or equivalent proven experience as a Data Engineer, Software Developer, or similar role.
* Proficiency with the Apache ecosystem (Parquet, Hadoop, Spark, Kafka, Airflow).
* Strong hands-on experience with AWS data services (Amazon Redshift, Kinesis, Glue, S3).
* Demonstrated experience building and optimizing big-data pipelines, architectures, and datasets.
* Strong analytical skills working with unstructured datasets.
* Experience with relational SQL and NoSQL databases, preferably Snowflake and/or Databricks.
* Familiarity with data pipeline and workflow orchestration tools.
* Strong project management and organizational skills.
* Excellent written and verbal communication skills.
* Snaplogic knowledge is a plus.
Preferred Skills
* Proficiency in scripting languages such as Python or Scala.
* Familiarity with data visualization tools (e.g., Tableau, Power BI, QuickSight).
* AWS Cloud Practitioner, Architecture, Big Data
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