Highly Skilled Data Pipeline Architect

3 days ago


Lahore, Punjab, Pakistan beBeeDataEngineer Full time 9,000,000 - 15,000,000
Job Description

As a Senior ETL Data Engineer, you will play a key role in designing and developing complex data pipelines and solutions using Big Data and cloud-native technologies. Your expertise will be instrumental in building scalable data workflows, leveraging tools such as Ab Initio, Informatica, DBT, and Apache Spark.

Key Responsibilities:
  • Develop high-performance ETL pipelines using cloud-based services like EMR, Glue, Lambda, Athena, and S3.
  • Collaborate with cross-functional teams to design and implement efficient data ingestion and transformation processes.
  • Write optimized SQL queries and manage stored procedures for complex data processing tasks.
  • Orchestrate workflows using Airflow, AWS Step Functions, or similar schedulers.
  • Deploy data models into production environments and ensure robust monitoring and resource management.
Required Skills and Qualifications:
  • 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).

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