Chief Data Infrastructure Specialist

4 hours ago


Islamabad, Islamabad, Pakistan beBeeData Full time 1,500,000 - 2,000,000
Job Title: Data Engineer

We are seeking a skilled professional to design and develop large-scale data pipelines using modern big data technologies and cloud-native tools.

Key Responsibilities:
  • Design, build, and maintain scalable data infrastructure and pipelines in a cloud-based architecture.
  • Develop efficient distributed data processing systems using Hadoop, Spark, Hive, and Kafka.
  • Work with cloud platforms (preferably AWS) and services like EMR, Glue, Lambda, Athena, S3.
  • Implement data integration solutions pulling from multiple sources into a centralized data warehouse or data lake.
  • Develop pipelines using DBT and manage workflows with Apache Airflow or Step Functions.
  • Write clean, maintainable, and efficient code using Python, PySpark, or Scala for data transformation and processing.
  • Manage relational and columnar data stores such as PostgreSQL, MySQL, Redshift, Snowflake, HBase, ClickHouse.
  • Implement CI/CD pipelines using Docker, Jenkins, and other DevOps tools.
  • Collaborate with data scientists, analysts, and other engineering teams to deploy data models into production.
  • Ensure data quality, integrity, and consistency across systems.
Required Skills & Experience:
  • 5+ years of hands-on experience as a Data Engineer.
  • Deep knowledge of Big Data technologies – Hadoop, Spark, Hive, Kafka.
  • Expertise in Python, PySpark and/or Scala.
  • Proficient with data modeling, SQL scripting, and working with large-scale datasets.
  • Experience with distributed storage like HDFS and cloud storage (e.g., AWS S3).
  • Hands-on with data orchestration tools like Apache Airflow or StepFunction.
  • Experience working in AWS environments with services such as EMR, Glue, Lambda, Athena.
  • Familiarity with data warehousing concepts and experience with tools like Redshift, Snowflake.
  • Exposure to tools like Informatica, AbInitio, Apache Iceberg is a plus.
  • Knowledge of Docker, Jenkins, and other CI/CD tools.
Preferred Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
  • Experience with open table formats such as Apache Iceberg.
  • Hands-on with AbInitio (GDE, Collect > IT) or Informatica tools.
Soft Skills:
  • Self-driven, proactive, and a strong team player.
  • Excellent communication and interpersonal skills.
  • Passion for data and technology innovation.


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