Data Scientist / Data Engineer

Alpha Global

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Job Description

Data Scientist / Data Engineer at Alpha Global

Alpha Global is a leading international recruitment agency dedicated to empowering individuals through international study and work placements in EU countries. With headquarters in Rotterdam, the Netherlands, our mission is to provide comprehensive support to help individuals achieve their academic and professional goals abroad.

Key Responsibilities
  • Data Pipeline & ETL Development: Build and optimize data pipelines, manage ETL processes, and design data storage solutions, ensuring efficient and secure data flow between systems.
  • Data Preprocessing & Cleaning: Handle large datasets by cleaning, transforming, and preprocessing them to ensure high-quality, usable data for analysis.
  • Model Development & Analytics: Develop, train, and deploy machine learning models to drive predictive analytics, using tools like TensorFlow or Scikit-Learn to improve business outcomes.
  • Collaboration & Insights: Work closely with cross-functional teams to turn data into actionable business insights, and present findings using data visualization tools like Power BI, Tableau, or Google Data Studio.
  • Documentation & Data Governance: Maintain clear and detailed data documentation, uphold data integrity standards, and ensure compliance with GDPR and other data governance best practices.
  • Big Data Tools: Utilize big data tools like Hadoop, Spark, and Kafka to process and manage large-scale datasets efficiently.
Qualifications & Experience
  • Education:
    • A Master’s Degree in Data Science, Statistics, Engineering, or a related field.
    • Alternatively, a Bachelor’s Degree with substantial experience in data engineering roles is also acceptable.
  • Experience:
    • At least 3 years of hands-on experience in data science or data engineering, with proven expertise in ETL processes, big data technologies, and data warehousing.
  • Certifications:
    • Highly Preferred: Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer, Cloudera Certified Data Engineer, or AWS Certified Big Data – Specialty.
  • Technical Skills:
    • Programming: Proficiency in Python and SQL. Knowledge of R is a plus for statistical tasks.
    • Big Data & Engineering Tools: Experience with Hadoop, Spark, and Kafka. Familiarity with data pipeline tools like Apache Airflow or Talend is beneficial.
    • Data Visualization: Strong skills in Power BI, Tableau, or Google Data Studio for creating visual reports and dashboards.
    • Machine Learning: Familiarity with machine learning libraries such as TensorFlow or Scikit-Learn for model development.
    • Compliance: A solid understanding of GDPR, secure data handling, and data anonymization techniques.
Salary

₦600,000 – ₦800,000 Monthly

Why Join Us?
  • Remote Work Flexibility: Work remotely from anywhere in Nigeria, offering you the flexibility to balance your career and personal life while contributing to global projects.
  • Impactful Work: Play a key role in shaping data strategies and building predictive models that will drive business decisions and enhance operations.
  • Continuous Growth: Expand your expertise through continuous learning and exposure to cutting-edge technologies in big data, machine learning, and cloud computing.
  • Competitive Compensation: Enjoy a competitive salary and benefits package, along with the opportunity to work with a talented and diverse team of professionals.
Application Closing Date

20th January, 2025

How to Apply

Attach resume and a cover letter detailing relevant experience, certifications, and skills.

See Also: Data Analyst at Sightsavers

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Application ends: January 20, 2025

Job Overview

Calendar

Date Posted

January 10, 2025

Location

Salary Type

Monthly

Salary Range

₦600,000 - ₦800,000

Experience

3 Years

Gender

Both

School

Qualification

Master’s Degree

Ribbon

Career Level

***

Job Skills

Data Scientist / Data Engineer at Alpha Global

Alpha Global

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Apply Now: Data Scientist / Data Engineer

Dear Hiring Manager,

I am excited to apply for the [Position Name] role at [Company Name]. My background in [Your Field/Skill] and experience in [mention one key qualification] align well with the requirements of this position.

Attached are my CV and supporting documents for your review. I would be happy to discuss how I can contribute to your team.

Thank you for considering my application. I look forward to hearing from you.

Best regards,
[Your Full Name]
[Your Contact Information]

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  1. Updated CV
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