Data Engineer - Manama, البحرين - Talent Pal

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Manama, البحرين

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Fatima Al Khalifa

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Fatima Al Khalifa

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Responsibilities:


  • Data Architecture Design: Design and develop scalable, efficient, and robust data architecture solutions to support data storage, processing, and retrieval requirements.
  • Data Pipeline Development: Build and maintain data pipelines to efficiently extract, transform, and load (ETL) data from various sources into the data warehouse or data lake.
  • Data Integration: Integrate data from multiple systems, databases, and APIs, ensuring data consistency, accuracy, and quality.
  • Data Transformation and Cleansing: Perform data transformation, cleansing, and validation to ensure data integrity and conformity with defined business rules and standards.
  • Data Modeling: Design and implement data models that meet the analytical and reporting needs of the organization, including dimensional modeling, star schemas, and data marts.
  • Data Warehousing: Design and manage data warehousing solutions, including schema design, indexing, partitioning, and performance optimization.
  • Data Governance and Security: Implement data governance practices and ensure data security and privacy standards are upheld throughout the data lifecycle.
  • Performance Optimization: Identify and optimize performance bottlenecks in data processing and storage, including query optimization, indexing, and data partitioning.
  • Data Monitoring and Maintenance: Monitor data pipelines, data quality, and system performance, and proactively address any issues or anomalies.
  • Documentation: Create and maintain technical documentation, including data flow diagrams, system architecture, and data dictionaries.

Requirements:


Education and Experience:

  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
  • Proven work experience as a data engineer or in a similar role.
  • Strong understanding of data engineering principles, techniques, and best practices.

Technical Skills:

  • Proficiency in programming languages like Python, Java, or Scala.
  • Experience with SQL and database technologies (e.g., Oracle, MySQL, PostgreSQL).
  • Knowledge of big data technologies and frameworks (e.g., Hadoop, Spark, Kafka).
  • Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud).
  • Understanding of data modeling techniques and concepts.
  • Experience with data integration tools and ETL frameworks (e.g., Apache Airflow, Informatica, Talend).
  • Knowledge of data warehousing concepts and methodologies.
  • Strong problemsolving and analytical skills.

Soft Skills:

  • Excellent communication and collaboration skills.
  • Ability to work effectively in a team environment.
  • Strong attention to detail and organizational skills.
  • Ability to manage multiple tasks and prioritize effectively.
  • Continuous learning mindset to keep up with evolving data engineering technologies and practices.
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