The company 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 company AI platform.
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Responsibilities
- Solve challenging problems using Python coding skills.
- Design, build, and launch new data extraction, transformation & loading processes in production.
- Conduct web crawling, data cleaning, data annotation, data ingestion, and data processing.
- Create and maintain data pipelines.
- Focus on process improvement to drive efficiency and productivity within the team.
- Use Python, SQL, ES, Shell, etc., to build the required infrastructure for optimal data extraction, transformation, and loading.
- Provide insights into key business performance metrics by building analytical tools that utilize the data pipeline.
- Support the wider business with their data needs on an ad hoc basis.
- 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.
- 6+ years of programming experience, solid coding skills in Python, Shell, and Java.
- Good communication skills and corporate capacity.
- Experience with web crawling and cleaning.
- Proficiency in solution architecture, data ingestion, query optimization, ETL, ELT, AWS, EC2, S3, SQS, lambda, Elastic Search, Redshift, CI/CD frameworks, and workflows.
- Working knowledge of data platform concepts including data lake, data warehouse, ETL, big data processing, and real-time processing architecture.
- Knowledge of best practices in optimizing columnar and distributed data processing system and infrastructure.
- Experience designing and implementing dimensional modeling.
- Knowledge of machine learning and data mining techniques in statistical modeling, text mining, and information retrieval.
What We Offer
- 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.
