About the Job
Presight is looking for an astute, proficient, and qualified Senior Data Engineer to assess, analyze, and work with data concepts, use-cases & complex new data sources to provide business insights to customers and support the implementation & integration of the data sources into the Presight AI platform.
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About Presight
Presight is the region’s leading big data analytics company powered by Artificial Intelligence (AI). It combines big data, analytics, and AI expertise to serve every sector to create business and positive societal impact.
Responsibilities
- Solve challenging problems using Python coding skills.
- Design, build and launch new data extraction, transformation & loading processes in production.
- Web crawling, data cleaning, data annotation, data ingestion, and data processing.
- Create and maintain data pipelines.
- Provide insights into key business performance metrics by building analytical tools that utilize the data pipeline.
- Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management, and Governance of Organizations policies, procedures, plans, and related risk assessments.
Requirements
- Bachelor's degree in computer engineering, Computer Science, or Electrical Engineering and Computer Sciences.
- 3+ years of programming experience, solid coding skills in Python, Shell, and Java.
- Experience with web crawling, cleaning, and solution architecture.
- Working knowledge of data platform concepts - data lake, data warehouse, ETL, big data processing.
- Knowledge of machine learning and data mining techniques in one or more areas of statistical modeling, text mining, and information retrieval.
What we look for
If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in.
What working at Presight offers
- Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on groundbreaking, industry-first innovations.
- Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.
- Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits, and more.
