Data Engineering Lead

1 day ago


Lahore, Punjab, Pakistan beBee Careers Full time

We are looking for a highly motivated and passionate Senior Big Data Engineer to join our team.

Job Summary

The successful candidate will have 4-6+ years of experience in Data Engineering, with a strong background in ETL, Big Data, and Cloud technologies. They will be responsible for designing, developing, and managing complex ETL jobs and pipelines, as well as driving large-scale data processing pipelines.

Key Responsibilities
  • Design and develop innovative solutions using Big Data technologies, including ETL pipelines, Python, Hadoop, Spark, and Hive.
  • Create and drive large-scale ETL jobs and pipelines in AWS-based environments, utilizing services such as EMR, Glue, Lambda, and Athena.
  • Develop expertise in integrating data from multiple sources and driving complex data processing pipelines.
  • Analyze and optimize large-scale datasets, leveraging distributed computing frameworks like Spark.

The ideal candidate will have strong software development and programming skills in Python, PySpark, and/or Scala, as well as proficiency in ETL schedulers, such as StepFunction or Apache Airflow.

Requirements
  • 4-6+ years of experience in Data Engineering, with a strong understanding of the ETL cycle.
  • Excellent knowledge of Big Data engineering, ETL, Data Modeling, SQL Scripting, and Data Architecture.
  • Strong understanding of data warehousing concepts, relational databases (e.g., PostgreSQL, MySQL), and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse).
  • Experience with containerization technologies, CI/CD pipelines, and IAC tools like Docker, Jenkins, Terraform.

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