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MODEC
MODEC
5001 – 10 000 Darbinieki
H1B vīzas sponsorsB2BEnerģētika
MODEC ir enerģētikas un uzņēmumu klientiem paredzēts inženierijas uzņēmums, kas specializējas peldošās jūras ieguves sistēmās. Uzņēmuma darbība aptver FPSO, FSO, FLNG, TLP un daļēji iegremdējamu iekārtu projektēšanu, būvniecību, uzstādīšanu un ekspluatāciju, ko papildina EPCI projektu īstenošana, jūras objektu remonts un ekspluatācijas pakalpojumi. Uzņēmums izstrādā arī pietauvošanās un peldošās jūras vēja enerģijas risinājumus, kā arī savos starptautiskajos birojos un projektos attīsta oglekļa uztveršanas, digitālās analītikas, dekarbonizācijas un ilgtspējas iniciatīvas.
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Vakances uzņēmumā

Senior Data Engineer — MODEC (Hybrid, Brazil)

Lead data pipelines, governance, and data preparation for AI and analytics at MODEC. The company operates offshore platforms and deepwater production systems.

BRBrazīlijaHibrīdiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuNepieciešamā Valoda: portugāļuDatu inženieris
AWSEC2HadoopHBaseMākonisMS SQL ServerPythonSQL

Apraksts

  • Set technical standards, architectural guidance, and pipeline best practices while mentoring developing team members.
  • Manage, maintain, and scale pipelines supplying historical and real-time data to analytics models.
  • Build observability, prevention, and alerting capabilities to maintain service levels.
  • Develop data governance across policies, processes, contracts, classification, security, metadata, quality, lineage, and access.
  • Implement and manage an enterprise data catalog and business glossary.
  • Maintain an enterprise ontology that standardizes entities, events, and relationships.
  • Prepare dependable, versioned, documented data for large-scale AI and analytics, including feature stores, model-ready tables, quality and drift monitoring, and MLOps or LLMOps practices.
  • Evaluate data quality, determine root causes, and deliver lasting corrective measures.
  • Design and build integrations for structured and unstructured data sources.
  • Design and operate scalable, secure databases for analytical and operational applications.
  • Work with Data Scientists and Data Analysts to move data flows from development into production.
  • Promote engineering practices, adopt new technologies, and deliver solutions for the oil and gas industry.

Prasības

  • Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, Engineering, or a related discipline.
  • Experience with Big Data platforms such as Hadoop, HBase, Hive, Pig, or comparable technologies.
  • Experience with cloud services; AWS experience with S3, Athena, and EC2 is advantageous.
  • Experience with Microsoft SQL Server, Power BI, or comparable reporting and business intelligence tools.
  • Experience using SQL, PL/SQL, or similar languages.
  • Professional experience with Python.
  • Proven technical leadership in data teams, including engineering standards and team mentoring.
  • Knowledge of agile software development and performance measurement tools.
  • Advanced or fluent English proficiency.
  • Intermediate Microsoft Office proficiency.

Priekšrocības

  • Meal and grocery vouchers
  • Life insurance
  • Private pension plan
  • Profit-sharing program
  • Health and dental insurance for employees and dependents
  • Childcare or nanny assistance for employees with children, subject to company policy
  • Fitness allowance for employees and dependents
  • Baby stroller provided under company policy
  • Mental health program
  • Health monitoring for employees with chronic conditions
  • Nursing room for breastfeeding employees at company offices

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