Senior Data Engineer

3 weeks ago

Abu Dhabi, Abu Dhabi, United Arab Emirates Elevon Core Full time

OurTeam

Our team comprises highlyskilled professionals who bring a wealth of internationalexperience in technology entrepreneurship. We thrive on ambitionand recognize that fun and performance go hand inhand. Together we create a dynamic environment whereexcellence is the currency of success.

Position Overview

As a Data Engineeryou will play a crucial role in designing building and maintainingour data infrastructure. You will be responsible for ensuring theavailability integrity and efficiency of our data pipelinesenabling our organization to make informed datadriven decisions.The value you bring will be instrumental in delivering measurablevalue to Contango and beyond using data andAI.

Responsibilities

  • Leadershipand ownership: own overall data lake and data warehousearchitecture with the responsibilities to design architect andmaintain the data warehouse infrastructure to support datamanagement data governance analytics ML & AI needs andaddress future challenges.
  • Datapipeline development: Design build and maintain scalabledata pipelines for ingesting processing and transforming data fromvarious sources ensuring data quality scalability andreliability.
  • Data modelling:Develop and maintain data models architecture patternsschemas and structures that support the needs of data analysts datascientists and other stakeholders.
  • ETL(Extract Transform Load): Create and optimize ETLprocesses to extract data from diverse sources transform it intousable formats and load it into data warehouses or other storagesolutions.
  • Data governance quality andvalidation: Establish and enforce data governancepolicies standards procedures and best practices and implement dataquality checks validation processes and error handling to ensurethe accuracy and consistency ofdata.
  • Performance tuning:Continuously monitor and optimize the performance of data pipelinesto meet business requirements and scalabilityneeds.
  • Data security:Implement and maintain data security measures to protectsensitive information and ensure compliance with data privacyregulations.
  • Collaboration:Work closely with data analysts data scientists and otherstakeholders to understand their data requirements and providesupport in data access andavailability.
  • Documentation:Maintain thorough documentation of data engineeringprocesses data models and datadictionaries.
  • Stay informed:Keep up to date with emerging trends and technologies indata engineering to ensure our data infrastructure remainscuttingedge.

Qualifications

  • Bachelorsdegree in computer science information technology or a relatedfield (masters degree is a plus)
  • Demonstrableexperience of minimum 8 years with at least 5 years in a leadershipposition as a Senior Data Engineer or similar with a portfolio ofprojects 10 years of experience in data engineering with a focus ondesigning and implementing data lakes data warehouses datamodelling ETL processes and data transformationpipelines
  • Experience in cloudbased dataplatforms (e.g. Spark Azure Synapse Analyticsetc.)
  • Proficiency in programming languages suchas Python Java or Scala
  • Strong knowledge ofdatabase systems (SQL and NoSQL) data warehousing and big datatechnologies
  • Knowledge of data governanceprinciples data quality management and regulatorycompliance
  • Experience with orchestrationservices (i.e. Azure Data Factory (ADF) Azure Logic Apps AzureFunctions Databricks Jobs Airflowetc.)
  • Familiarity with data engineeringintegration tools and frameworks and ETLprocesses
  • Experience with cloud platforms likeAWS GCP or Azure
  • Experience with APIdevelopment and integration with dataservices
  • Excellent communications leadershipand collaboration skills
  • Ability to work in afastpaced dynamic environment and lead multiple projects and teamsto deliver highqualityresults
  • Technical Expertise:
    • Programminglanguages: Python Java Scala andR.
    • Data management &databases: Oracle SAP SQL NoSQL DataWarehousing
    • Big datatechnologies: Apache Hadoop Spark Kafkaetc.
    • Cloud platforms:Experience with Microsoft Fabric Azure (Synapse AnalyticsDatabricks Machine Learning AI Search Functions etc.) Databricks onAzure AWS (S3 Redshift SageMaker etc.) Google Cloud Platform(BigQuery Dataflow etc.).
    • Datagovernance: Experience with Ab Initio InformaticaCollibra Purview IBM InfoSphere Great Expectations DeepchecksDatabricks Unity Catalog Databricks Delta Sharing DatabricksCatalog Explorer Databricks Audit Logging and Databricks IdentifyManagement.
    • Datavisualization: Familiarity with Matplotlib SeabornTableau Power BI
    • DevOps &MLOps: CI/CD principles Docker MLFlowKubernetes

Benefits

  • Competitivesalary and benefits package.
  • Opportunity towork on cuttingedge technologyprojects.
  • Collaborative and innovative workenvironment.
  • Professional growth and trainingopportunities.

If you possess therequisite experience qualifications and leadership acumen to driveour success and shape the future of Data and AI innovation withinthe UAE we invite you to submit yourapplication.


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Key Skills
ApacheHive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,DataWarehouse,Kafka,Scala
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