Senior Data Infrastructure Specialist

2 weeks ago

Islamabad, Islamabad, Pakistan beBeeDataEngineer Full time
Job Description">

We're seeking an ambitious and detail-oriented Associate Software Engineer – Data Engineer to play a key role in developing, optimizing, and maintaining our data infrastructure.

This is an exciting opportunity for recent graduates or early-career professionals passionate about data engineering, big data technologies, and building scalable data pipelines.

In this position, you will work collaboratively with experienced engineers to design, develop, and maintain scalable data pipelines and ETL processes.

Required Skills and Qualifications">
  • Assist in designing, developing, and maintaining scalable data pipelines and ETL processes.
  • Work with structured and unstructured data from multiple sources to ensure data availability and integrity.
  • Optimize database queries and data processing for performance and efficiency.
  • Collaborate with data scientists, analysts, and software engineers to enable data-driven decision-making.
  • Implement data models and schemas for analytical and operational use cases.
  • Support data governance, security, and compliance efforts.
  • Troubleshoot and debug data-related issues, ensuring data quality and consistency.
  • Stay updated with the latest advancements in data engineering and big data technologies.
Qualification">

Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.

  • Proficiency in SQL and experience with relational databases (MySQL, PostgreSQL, etc.).
  • Knowledge of programming languages such as Python, Java, or Scala.
  • Understanding of data warehousing concepts and ETL frameworks.
  • Familiarity with big data technologies like Apache Spark, Hadoop, or Kafka is a plus.
  • Exposure to cloud platforms (AWS, Azure, GCP) and data services.
  • Basic understanding of version control tools (Git) and CI/CD processes.
Benefits">

Internship or project experience in data engineering.

  • Knowledge of data pipeline orchestration tools (Apache Airflow, Prefect, etc.).
  • Familiarity with data visualization and analytics tools (Tableau, Power BI, Looker).
"]:

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