Senior Data Engineer

3 weeks ago


Riyadh, Saudi Arabia Talent Pal Full time

Senior DataEngineer

  • Riyadh SaudiArabia

Senior Data Engineer RiyadhSaudi Arabia Posted 49 minutes ago

1 openposition

Be the First toApply

Experience Needed: NotSpecified

Education Level: NotSpecified

Job Details

CareerLevel: Not specified

Salary:Confidential

JobCategories:

Skills AndTools:

Job Description

SeniorData Engineer

Onsite Riyadh Riyadh Province SaudiArabia Focal Fulltime

Description

Mozn is arapidly growing technology firm revolutionizing the field ofArtificial Intelligence and Data Science headquartered in RiyadhSaudi Arabia and its working to realize Vision 2030 with a proventrack record of excellence in supporting and growing the techecosystem in Saudi Arabia and the GCC region. Mozn is the trustedAI technology partner for some of the largest governmentorganizations as well as many large corporations and startups. Weare in an exciting stage of scaling the company to provideAIpowered products and solutions both locally and globally thatensure the growth and prosperity of our digital humanity. It is anexciting time to work in the field of AI to create a longlastingimpact. We are seeking a Senior Data Engineer to join our team. Asa Senior Data Engineer you will play a pivotal role in developingmachine learning (ML) models and systems to manage diversefinancial risks and challenges. Your expertise in data engineeringand analytics will drive our organizations success in areas such asOpen Banking Credit Scoring Financial Fraud Detection andmore.

As a Senior Data Engineer your dailyworkload might include:

  • Collectanalyze and interpret large datasets from varioussources.
  • Collaborate with the Data Scientistteam to provide data insights for ML modeldevelopment.
  • Develop deploy and monitor MLmodels and systems ensuring their efficiency accuracy andreliability.
  • Design and maintain efficient ETLpipelines using technologies such as Apache Spark andSnowflake.
  • Influence architecture and databasedesign decisions.
  • Continuously evaluate andimprove data engineering processes identifying opportunities forautomation efficiency andscalability.
  • Collaborate with crossfunctionalteams including Data Engineers Product Managers and stakeholders toensure successful implementation of datadriveninitiatives.
  • Stay uptodate with the latesttrends and advancements in data engineering ML models and FinTechindustry practices and apply this knowledge to enhance our datacapabilities.
Requirements

Ourtarget profile is candidates with

  • BSor MS in Data/Computer Science or a relatedfield.
  • 5 years of experience with cloud datainfrastructure.
  • Proficiency in cloud datainfrastructure such as AWS or OCI.
  • Indepthknowledge of containerization and orchestration (e.g. DockerKubernetes).
  • Proficient in data analytics andintelligence emphasizing the automation of data mapping collectionaggregation transformation and visualizationprocesses.
  • Extensive expertise in preparing andmerging diverse datasets for machine learning models used inclassification estimation andsegmentation.
  • Proficiency in Python SQL anddata manipulation across SQL and NoSQLdatabases.
  • Familiarity with Linuxfundamentals.
  • Experience with data analysis andvisualization tools (e.g. PowerBITableau).
  • Strong ETL development skills andadherence to best practices.
  • Proficiency inobservability and alerting technologies (e.g. GrafanaPrometheus).
  • Experience in automatingdeployment in CI/CD pipelines.
  • Familiarity withdata lakes and data mesh architectures.
  • Strongverbal and written communication skills.
  • Mustbe Humble Excellent Relevant with a high sense ofOwnership.
Benefits

Wethink youll enjoy working at Mozn. Hereswhy:

  • You will be at the forefront ofan exciting time for the Middle East joining a highgrowthrocketship in an exciting space.
  • You will begiven a lot of responsibility and trust. We believe that the bestresults come when the people responsible for a function are giventhe freedom to do what they think is best.
  • Youcan enjoy being in an enabling culture so that you can focus onwhat you do best.
  • You will enjoy a fun anddynamic workplace working alongside some of the greatest minds inAI.* We believe strength lies in difference embracing all for whothey are and empowered to be the best version ofthemselves.

This job hasbeen sourced from an external job board.
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