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Data Engineer

Synergise AI is an innovative startup dedicated to harnessing the capabilities of Artificial Intelligence (AI) and Machine Learning (ML). Our focus lies in crafting cutting-edge solutions that leverage AI technology to drive growth and transformation across diverse industries.

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Experience Life at Synergise AI

  • ● We embrace our clients: Our commitment to delivering excellence revolves around putting our clients at the center of everything we do.
  • ● Balancing Work and Fun: We believe in infusing enjoyment into our work, creating a dynamic and engaging atmosphere.
  • ● Powerhouse of Top Performers: Our team is composed of exceptional individuals who not only excel individually but also collaborate seamlessly as a united force. We value teamwork, camaraderie, and diversity…leaving egos at the door!
  • ● Nurturing a Family Environment: Join our community and experience a workplace that feels like family, where support and collaboration thrive.
  • ● Thriving Learning Ecosystem: In our environment, learning never stops. Be prepared to immerse yourself in a rich ecosystem of knowledge and growth. Your journey of advancement starts here.

Position overview

As a Data Engineer at Synergise AI, you will play a crucial role in the design, development, and maintenance of data infrastructure and pipelines. Your work will enable our organization to leverage data-driven insights, support AI initiatives, and drive business growth.

What You’ll Be Doing

Our Data Engineer at Synergise AI will be responsible for:

  • • Data Pipeline Development: Designing, developing, and maintaining data pipelines to enable efficient data processing and analysis.
  • • Data Integration: Integrating data from various sources, ensuring data quality, consistency, and reliability.
  • • Data Warehousing: Building and maintaining data warehouses for storage, retrieval, and optimization of data.
  • • Data Transformation: Transforming and cleaning data to meet the needs of data scientists and analysts.
  • • Performance Optimization: Ensuring data pipelines and processes are efficient, scalable, and meet performance requirements.
  • • Data Security: Implementing data security measures and access controls to protect sensitive information.
  • • Collaboration: Collaborating with cross-functional teams to understand data requirements and support data-driven projects.

This role will involve hands-on work with data infrastructure, ETL processes, and data architecture.

What You’ll Bring to the Table:

  • • Bachelor's degree in computer science, engineering, or a related field, or equivalent.
  • • Proven experience in data engineering, ETL processes, and data architecture.
  • • Proficiency in data pipeline and ETL tools and frameworks.
  • • Strong programming skills in languages such as Python, Java, or similar.
  • • Experience with data storage solutions, including relational databases and data lakes.
  • • Knowledge of data modeling, data quality, and data governance.
  • • Familiarity with version control systems (e.g., Git).
  • • Strong problem-solving skills and attention to detail.
  • • Excellent communication and collaboration skills.
  • • Ability to work independently and in a team environment.

Bonus points!

  • • Master's or Ph.D. in data engineering, computer science, or a related field.
  • • Experience with big data technologies such as Hadoop, Spark, or NoSQL databases.
  • • Knowledge of data streaming and real-time data processing.
  • • Understanding of cloud computing platforms (e.g., AWS, Azure, GCP).
  • • Familiarity with DevOps practices and tools.
  • • Experience with data warehousing solutions.
  • • Strong knowledge of data security and compliance.

Why choose to join us?

  • • Competitive US monthly compensation
  • • Secure a full-time contractor role.
  • • Paid time off days to rest and enjoy! 

Envision yourself as a central figure in the Synergise AI team
Evaluate. Innovate. Iterate


  • Synergise AI  is an Equal contracting  opportunity and Affirmative Action contractor.
  • We value diversity and are committed to providing an environment of mutual respect.
  • Qualified applicants will be considered  without regard to race, religion, color, national origin, age, sex.

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Envision yourself as a central figure in the Synergise AI team.
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