Data Engineer

3 days ago

Islamabad, Islamabad, Pakistan Mari Energies Limited Full time 1,200,000 - 3,600,000 per year

About the Company
– MariEnergies is one of Pakistan's largest E&P companies, operating the country's second-largest gas reservoir at the Mari Field in District Ghotki, Sindh. The company's shares are quoted on all the stock exchanges in Pakistan. MariEnergies is primarily engaged in the exploration, development, and production of hydrocarbon resources (natural gas, crude oil, condensate, and LPG) within the country. The company is also exploring opportunities to expand its business and become a player in the international hydrocarbon market.

In today's challenging business environment, the source of MariEnergies' strength and inspiration for future success lies in our human capital. At MariEnergies, we foster value-based HR processes and practices to develop both our human capital and organizational capabilities. This approach has helped us gain a competitive edge by aligning personal aspirations with our corporate vision.

About the Role

We are looking for a
skilled and motivated Data Engineer
to join our
Information Technology team
. The ideal candidate will collaborate across departments to design, build, and maintain
scalable data pipelines and infrastructure
that power our
Artificial Intelligence, Machine Learning, Business Inte, and advanced analytics
initiatives.

If you have a strong passion for data-driven innovation, analytical excellence, and automation, we invite you to apply and contribute to our growing technology landscape.

Key Responsibilities

  • Participate in business analysis activities to translate AI/ML requirements into technical solutions
  • Design, develop, and maintain scalable
    data pipelines
    for structured and unstructured data
  • Integrate and validate data from diverse sources ensuring quality and consistency
  • Build and manage
    data models, lakes, and warehouses
    to support analytical workflows
  • Implement
    MLOps practices
    including model deployment, monitoring, and retraining
  • Collaborate with cross-functional teams for SAP data management and process automation
  • Ensure
    data governance, security, and performance monitoring
    across systems
  • Explore new technologies and analytics tools to enhance system capabilities
  • Carry out assigned tasks and duties in a safe manner to comply with HSE rules/procedures, regulations and codes of practice.

What We're Looking For

Education:
BS/MS in Computer Science or a related field

Experience:
Minimum
5 years
in ETL, DWH, Data Integration, Dashboard Design, and MLOps

Technical Skills:

  • Proficient in
    Python
    and
    SQL
  • Familiarity with
    TensorFlow, PyTorch, Scikit-learn
  • Solid understanding of
    Azure (preferred)
    , AWS, or GCP
  • Strong grasp of
    ETL and DWH design principles

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