Data Engineer job opportunity at Optimiza.



Date2025-07-15T08:18:12.692Z bot
Optimiza Data Engineer
Experience: 3-years
Pattern: Full-time
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degreeBachelor's (B.A.)
loacation Amman, Jordan
loacation Amman....Jordan

We are looking for an astute, proficient and qualified 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 platform.   Key Responsibilities Functional ·        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. 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 ·        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.   Ideally, you’ll also need ·        In-depth market and domain knowledge ·        A passion for constant improvement ·        An innovative and creative approach to problem-solving ·        Excellent communication skills

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