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 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.
- Web crawling, data cleaning, data annotation, data ingestion and data processing.
- Reading and collating complex data sets.
- Creating and maintaining 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.
Qualifications
- 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 corporate capacity, good communication skills.
- Experience with Web crawling, 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 practice in optimizing columnar and distributed data processing system and infrastructure.
- Experienced in designing and implementing dimensional modelling.
- Knowledge of machine learning and data mining techniques in one or more areas of statistical modelling, text mining and information retrieval.
Location
United Arab Emirates
