Data Engineer
3 weeks ago
Key Responsibilities:
Functional
- Solve complex data processing challenges using Python programming skills.
- Design, build, and launch new data extraction, transformation, and loading processes in production.
- Web crawling, data cleaning, data annotation, data ingestion, and data processing.
- Reading and collating complex datasets.
- Creating and maintaining scalable data pipelines.
- Continual focus on process improvement to drive efficiency and productivity within the team.
- Use of Python, SQL, ES, Shell, etc. to build the infrastructure required for optimal extraction, transformation, and loading of data.
- 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.
- 3 years of programming experience with solid coding skills in Python, Shell, and Java.
- Good corporate capacity and good communication skills.
- Experience with web crawling and cleaning.
- Experience with solution architecture, data ingestion, query optimization, data segregation, ETL, ELT, AWS, EC2, S3, SQS, lambda, Elastic Search, Redshift, CI/CD frameworks, and workflows.
- Working knowledge of data platform concepts, data lake, data warehouse, ETL, big data processing (designing and supporting variety/velocity/volume), real-time processing architecture for data platforms, scheduling, and monitoring of ETL/ELT jobs.
- PostgreSQL and programming (preferably Java, Python) proficiency in understanding data entity relationships, structured & unstructured data, SQL, and NoSQL databases.
- Knowledge of best practices in optimizing columnar and distributed data processing systems and infrastructure.
- Experienced in designing and implementing dimensional modeling.
- Knowledge of machine learning and data mining techniques in one or more areas of statistical modeling, text mining, and information retrieval.
- Develop and maintain scalable data pipelines and systems on Azure.
- Extensive experience with Azure cloud services.
Ideal Candidate:
- In-depth market and domain knowledge.
- A passion for constant improvement.
- An innovative and creative approach to problem-solving.
- Excellent communication skills.
Work Arrangement:
No remote work.
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