
Transforming Data Landscape
1 day ago
As a seasoned data engineer, you will play a pivotal role in architecting robust data solutions.
Key qualifications include:
- Cloud Expertise: Proficient in AWS and Azure, with the ability to navigate cloud landscapes and ensure scalable and secure data pipelines.
- Data Engineering Skills: ETL processes, data warehousing, and data modeling expertise are essential for building strong data infrastructure.
- Technical Proficiency: Hands-on experience with tools like Alteryx and Power BI, as well as coding languages SQL and Python, is required.
- Database Systems: PostgreSQL, MySQL, Microsoft SQL Server, and MongoDB knowledge is necessary.
- Big Data Technologies: Familiarity with Hadoop, Spark, and Hive is also required.
Additional attributes of this role include:
- Exceptional analytical skills that can turn complex problems into solvable puzzles.
- Strong communication skills that bridge technical and business realms.
- A collaborative spirit that fosters team performance.
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The ideal candidate for this position should possess a deep understanding of data services essential for efficient ETL processes and analytics.
Core Requirements- 5+ years of experience in data engineering.
- Proficiency in cloud environments, particularly AWS and Azure.
- Strong understanding of data services.
- Collaborative work environment.
- Ongoing training and development opportunities.
- Competitive compensation package.
Let's connect and explore how you can contribute to our dynamic team.
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