Data Engineer II - Sr. Consultant - Remote | WFH
Job Description
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Written by AI from the job title and company, not by Get It Recruit - Information Technology, so some details may not match this job. The employer's own page has the real description.
Job Overview
The Data Engineer II - Sr. Consultant position at Get It Recruit - Information Technology is a remote role that involves designing, implementing, and optimizing data flow and data storage solutions. The ideal candidate will collaborate with cross-functional teams to ensure data is properly collected, processed, and made available for business intelligence and analytics. Your expertise will drive critical projects that enhance our data capabilities and support strategic decision-making.
Job Responsibilities
- Design, develop, and maintain scalable data pipelines to support business data requirements.
- Collaborate with data scientists and analysts to build robust data models for analysis.
- Implement data transformations and integrations to unify disparate data sources.
- Optimize database and data warehouse performance for query acceleration.
- Monitor data quality and troubleshooting data issues in collaboration with stakeholders.
- Document data engineering processes and maintain thorough project documentation.
- Stay current with emerging data technologies to continuously improve data solutions.
- Mentor and provide technical guidance to junior data engineers.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.
- A minimum of 3-5 years of experience in data engineering or a similar role.
- Proficiency in SQL and experience with relational database management systems (e.g., PostgreSQL, MySQL).
- Hands-on experience with big data technologies such as Hadoop, Spark, or similar.
- Knowledge of ETL tools (e.g., Apache NiFi, Talend, or similar).
- Familiarity with cloud services (AWS, Azure, or Google Cloud Platform).
- Strong programming skills in languages such as Python, Java, or Scala.
- Excellent problem-solving skills and attention to detail, alongside strong communication abilities.
Technologies & Tools
The successful candidate will work with a variety of technologies and tools, including but not limited to cloud platforms such as AWS or Azure, data processing tools like Apache Spark and Kafka, and database systems like PostgreSQL and MongoDB. Familiarity with data visualization tools such as Tableau and BI solutions is also advantageous for providing actionable insights from the data.
Ideal Candidates
Ideal candidates are self-motivated professionals who possess strong analytical skills and a passion for data. They are comfortable working in a fast-paced environment and can manage multiple tasks effectively. A collaborative spirit is essential, as this role often involves teamwork across different departments. Candidates should be proactive in seeking out new challenges and opportunities to enhance data practices within the organization.
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