Highly Skilled Data Engineering Specialist

6 days ago

Lahore, Punjab, Pakistan beBeeDataEngineering Full time $80,000 - $150,000
Senior Data Engineering Expert

We are seeking a highly skilled Senior Data Engineering Expert to join our team. The ideal candidate will have a strong background in designing and developing complex data pipelines, working with large-scale datasets, and leveraging modern Big Data and cloud technologies.

About the Role:

The Senior Data Engineering Expert will be responsible for building robust data solutions using Big Data and cloud-native technologies, such as Hadoop, Hive, Spark, and AWS. This individual will also leverage tools like Ab Initio, Informatica, DBT, and Apache Spark to build scalable data workflows.

Key Responsibilities:
  • Design and develop complex ETL pipelines and data solutions using Big Data and cloud-native technologies.
  • Leverage tools like 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.
  • Identify and recommend process and technology improvements to enhance data pipeline performance and reliability.
Required Skills & 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).
  • Ability to troubleshoot complex data issues and propose scalable solutions.
  • Excellent communication and collaboration skills.
Why Join Us?
  • Hybrid work model with flexibility to work from home and office.
  • Exposure to cutting-edge technologies and high-impact projects.
  • Collaborative team environment with opportunities for growth and innovation.
  • Culture that values ownership, continuous learning, and mutual respect.

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