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Senior Big Data Specialist

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Job Summary

The primary role of a Data Engineer is to bridge the gap between data scientists and business stakeholders by designing, building, and maintaining large-scale data systems. This involves collaborating with cross-functional teams to understand business requirements, conceptualizing data infrastructure that enables seamless access and analysis of big data, and optimizing existing frameworks for improved performance.

Key Responsibilities:
  • Liaising with colleagues and clients to clarify project objectives and deliverables.
  • Designing and implementing data pipelines that facilitate efficient data processing and storage.
  • Ensuring data quality by testing and validating data structures against predefined criteria.
  • Maintaining data freshness by continuously monitoring data flows and updating data sources as needed.
  • Providing data services that cater to the needs of data analysts and scientists, including data preparation, cleansing, and transformation.
Required Skills:
  • Proficiency in cloud-based data platforms, such as Azure ADLS.
  • Experience with data warehousing solutions, like Apache Parquet and Iceberg.
  • Familiarity with distributed computing frameworks, including Kubeflow and Airflow.
  • Strong understanding of data modeling concepts and data governance principles.
What We Offer:
  • A dynamic work environment that fosters collaboration and innovation.
  • Ongoing training and development opportunities to enhance your skills and knowledge.
  • A competitive compensation package that reflects your value to the organization.
About Us:

We are committed to delivering high-quality solutions that meet the evolving needs of our clients. Our team is passionate about leveraging technology to drive business growth and improve operational efficiency.