Remote Work - Need 3 Data Engineer and 1 data analyst

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Written by AI from the job title and company, not by Steneral Consulting, so some details may not match this job. The employer's own page has the real description.

Overview

Steneral Consulting is seeking to hire three Data Engineers and one Data Analyst for remote positions. The selected candidates will be responsible for designing, developing, and maintaining scalable data pipelines, ensuring data quality, and extracting meaningful insights from complex datasets. By collaborating with cross-functional teams, you will play a critical role in shaping data architecture and driving analytics initiatives that support business objectives.

Job Responsibilities

• Design and implement robust data pipeline architectures.
• Extract, transform, and load (ETL) data from various sources for analysis.
• Collaborate with data scientists and analysts to define data needs and requirements.
• Monitor and optimize data systems, ensuring high-performance data processing.
• Develop data models and ensure data consistency and accuracy.
• Perform data quality checks and troubleshoot data issues.
• Generate insightful reports and visualizations for stakeholders (Data Analyst role).
• Assist in the integration of new data sources and technology solutions.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience for Data Engineers; 2+ years for Data Analysts.
• Proficiency in SQL and experience with relational and non-relational databases.
• Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
• Experience with data visualization tools (e.g., Tableau, Power BI) for the Data Analyst role.
• Strong programming skills in languages like Python, Java, or Scala.
• Understanding of data warehousing concepts and best practices.
• Excellent problem-solving skills and attention to detail.

Technologies & Tools

The Data Engineers and Data Analyst will engage with a variety of technologies and tools, including but not limited to SQL databases, cloud platforms (AWS, Azure), data processing frameworks (Apache Spark, Apache Kafka), and data visualization tools (Tableau, Power BI). Familiarity with programming languages such as Python and Java is also essential for effective data manipulation and scripting.

Ideal Candidates

The ideal candidates for these roles will possess a strong analytical mindset and an aptitude for problem-solving. They should demonstrate a proactive approach to learning and adapting to new technologies. Effective communication skills, both verbal and written, are imperative for collaborating with diverse teams and presenting complex data insights to stakeholders. Candidates who thrive in remote environments, are self-disciplined, and exhibit strong time management skills will excel in this position.