HO - Data Engineering Expert (HR Domain)

HO - Data Engineering Expert (HR Domain)

Job Summary:

We are seeking a skilled and experienced Data Engineering Expert to design, build and manage scalable  data pipelines and infrastructure. As a Data Engineering Expert, you will collaborate with data scientists, analysts and other related stakeholders to ensure data quality and availability to support business 
insights, reporting platforms and decision-making.

Key responsibilities:

  • Data Pipeline Development: Design, construct, install and maintain scalable data pipelines and systems.
  • Data Integration: Strategically obtain and integrate data from various sources (databases, APIs, 3rd party platforms) into centralized systems.
  • Data Modelling: Create and optimize data models for structured and unstructured data.
  • ETL/ELT Processes: Design, build and maintain optimized data pipelines and ETL solutions as business support tools in providing analysis and real time analytics platform for critical decisionmaking.
  • Data Quality and Governance: Ensure high data quality, implement data validation rules to keep operations running at high performance, 
  • Data Compliance and Security: Ensure data infrastructure complies with Government Decrees and Bank regulations.
  • Performance Optimization: Monitor and improve performance of data infrastructure and queries.
  • Documentation: Maintain documentation of data pipelines, systems and processes.
  • Collaboration: Work closely with data scientists and business stakeholders to understand data needs and deliver solutions.

Required skills and Qualifications

  • Bachelor‘s or Master’s degree in Computer Science, Computer Engineering or related field.
  • Strong programming skills in Python, Scala
  • Proficient in SQL and database management systems
  • Familiar with big data frameworks, e.g., Hadoop, Spark
  • Knowledge of data modelling, schema design and data governance best practices
  • Experience with workflow orchestration tools, e.g., Airflow, Luigi
  • Understanding of machine learning processes and tools

Success Characteristics

  • Strong problem-solving skill and attention to detail
  • Effective communication and collaboration abilities
  • Ability to work in fast-paced
  • Straight-forward and integrity

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