Data Engineer
4 weeks ago
Responsibilities:
- Expertise in writing complex SQL queries to extract, transform, and load data from our data warehouse system.
- Develop and maintain efficient data pipelines and workflows to ensure seamless data movement and transformation.
- Collaborate with cross-functional teams to understand data requirements and implement filters based on defined parameters.
- Utilize provided tools for processing Personally Identifiable Information (PII) in compliance with applicable regulations.
- Enhance data quality by implementing robust validation and cleansing procedures.
- Work closely with Data Scientists and Analysts to provide clean, structured datasets for analysis and reporting purposes.
- Document data processes, methodologies, and best practices for future reference.
- Proven expertise in SQL query optimization and performance tuning for handling large datasets.
- Strong experience with data extraction, transformation, and loading processes from data warehouses or similar systems.
- Familiarity with tools used for processing PII, adhering to data privacy and compliance regulations.
- Proficiency in scripting languages (Python, R, etc.) for data manipulation and automation is advantageous.
- Ability to communicate effectively and collaborate with cross-functional teams.
- Experience in implementing data governance practices and ensuring data quality.
- Strong problem-solving skills and the ability to work independently with minimal supervision.
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
- 3+ years of professional experience in a Data Engineering or similar role.
- Certification in SQL or related technologies is a plus.
- Familiarity with cloud-based data platforms (AWS, Azure, GCP) is desirable.
- Opportunity to work on bleeding-edge projects.
- Work with a highly motivated and dedicated team.
- Competitive salary.
- Flexible schedule.
- Benefits package - medical insurance, sports.
- Corporate social events.
- Professional development opportunities.
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