Principal Data Architecture Specialist

4 days ago

Islamabad, Islamabad, Pakistan beBeeDataEngineer Full time 12,000,000 - 15,000,000
Senior ETL Data Engineer

We are seeking a highly skilled Senior ETL Data Engineer to lead our data engineering team. The ideal candidate should have hands-on expertise in building robust data pipelines, working with large-scale datasets, and leveraging modern Big Data and cloud technologies.

Key Responsibilities:
  • Design and develop complex ETL pipelines and data solutions using Big Data and cloud-native technologies.
  • Leverage tools such as Ab Initio, Informatica, DBT, and Apache Spark to build scalable data workflows.
  • Implement distributed data processing using Hadoop, Hive, Kafka, and Spark.
  • Build and optimize data pipelines in AWS using services like EMR, Glue, Lambda, Athena, and S3.
  • Work with various structured and unstructured data sources to perform efficient data ingestion and transformation.
  • Write optimized SQL queries and manage stored procedures for complex data processing tasks.
  • Orchestrate workflows using Airflow, AWS Step Functions, or similar schedulers.
  • Collaborate with cross-functional teams to understand data needs and deliver high-quality datasets for analytics and reporting.
  • Deploy data models into production environments and ensure robust monitoring and resource management.
  • Mentor junior engineers and contribute to the team's knowledge sharing and continuous improvement efforts.
Requirements:
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 4+ years of hands-on experience in ETL development, data engineering, and data pipeline orchestration.
  • Strong working knowledge of Ab Initio, Informatica, or similar ETL tools.
  • Expertise in Python, PySpark, or Scala for data processing.
  • Proven experience in Big Data technologies (Hadoop, Hive, Spark, Kafka).
  • Proficient with AWS services related to data engineering (EMR, Glue, Lambda, Athena, S3).
  • In-depth understanding of data modeling, ETL cycle, data warehousing, and data management principles.
  • Hands-on experience with relational (PostgreSQL, MySQL) and columnar databases (Redshift, HBase, Snowflake).
  • Familiarity with containerization (Docker), CI/CD pipelines (Jenkins), and Agile tools (Jira).
Benefits

The successful candidate will enjoy opportunities for professional growth and development in a dynamic environment.

Others

Our organization is committed to providing a safe and inclusive work environment.

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