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Data Analyst/ Data Engineer
2 months ago
Data Analyst/ Data Engineer
Mechanicsburg, Pennsylvania, United States
Hybrid Role
Required Qualifications:
- Experience:
- Minimum of 3-5 years of experience in data analysis, data engineering, or a related field.
- Proven experience with ETL processes and tools (e.g., Apache NiFi, Talend, Informatica).
- Experience with data visualization tools such as Tableau, Power BI, or similar.
- Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle).
- Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) is highly desirable.
- Proficiency in programming languages such as Python, R, or Java for data processing tasks.
- Technical Skills:
- Strong understanding of data modeling, data warehousing, and big data architectures.
- Experience with distributed data processing frameworks (e.g., Hadoop, Spark) is a plus.
- Familiarity with version control systems like Git and CI/CD pipelines.
- Soft Skills:
- Excellent analytical and problem-solving skills with attention to detail.
- Strong communication skills, both written and verbal, with the ability to convey technical concepts to non-technical stakeholders.
- Ability to work both independently and collaboratively in a hybrid work environment.
- Strong organizational skills and the ability to manage multiple projects simultaneously.
Education:
- Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field. A Master’s degree is a plus.
Preferred Qualifications:
- Experience with data governance and data quality frameworks.
- Certifications in cloud platforms (e.g., AWS Certified Data Analytics, Microsoft Azure Data Engineer) are a plus.
- Knowledge of machine learning techniques and their application in data analysis is desirable.