Data Engineer
3 weeks ago
Job Summary:
This position will help support the data engineering needs across the growing portfolio of high-profile analytics projects by developing complex data structures and pipelines leveraging a diverse set of tools and languages. This includes the following cloud-based technologies: Databricks, Snowflake, Spark, Python and Azure Data Factory. As a key member of the Strategic Analytics tram, you will advance our data engineering capabilities helping the team analyze data faster.
Responsibilities:
- Work closely with predictive modelers to assemble large, complex data sets that help solve business problems and increase profitability.
- Perform data manipulation and transformation using SQL and Python.
- Identify, design, and implement internal process improvements: automating manual processes and optimizing data pipelines.
- Create and maintain optimal data pipeline architecture.
- Author detailed and comprehensible documentation of data pipelines and technical solutions.
- Ensure data quality and completeness.
Qualifications:
- Graduate in BS Computer Science, Information Technology degree, Data Analytics or equivalent.
- Advanced working SQL knowledge and experience working with relational databases, query authoring.
- A successful history of manipulating, processing and extracting value from large, disconnected datasets.
- Ideally, 3+ years of experience in a Data Engineer role or equivalent using SQL and /or Python.
- Good organizational skills and attention to detail.
- Excellent critical thinking skills to flag complex data challenges.
- Experience with cloud technologies and Python is a plus.
- Comfortable working in fast paced, highly collaborative environment.
- Ability to effectively communicate to different target audiences.
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