Senior Business Intelligence Data Architect

2 weeks ago

Karachi, Sindh, Pakistan beBeeData Full time 7,500,000 - 8,500,000
Job Opportunity

We are seeking a highly skilled Senior ETL Data Engineer with strong experience in building robust data pipelines, working with large-scale datasets, and leveraging modern Big Data and cloud technologies.

  • Design and develop complex ETL pipelines and data solutions using Big Data and cloud-native technologies to drive business growth and improve operational efficiency.
  • Leverage tools such as Ab Initio, Informatica, DBT, and Apache Spark to build scalable data workflows that enable real-time decision-making.
  • Implement distributed data processing using Hadoop, Hive, Kafka, and Spark to unlock new insights and opportunities.
  • Build and optimize data pipelines in AWS using services like EMR, Glue, Lambda, Athena, and S3 to enhance data quality and reduce latency.
  • Work with various structured and unstructured data sources to perform efficient data ingestion and transformation, ensuring seamless data flow across the organization.
  • Write optimized SQL queries and manage stored procedures for complex data processing tasks, resulting in improved performance and scalability.
  • Orchestrate workflows using Airflow, AWS Step Functions, or similar schedulers to ensure smooth data integration and minimize downtime.
  • Collaborate with cross-functional teams to understand data needs and deliver high-quality datasets for analytics and reporting, driving informed business decisions.
  • Deploy data models into production environments and ensure robust monitoring and resource management to guarantee optimal system performance.
  • Mentor junior engineers and contribute to the team's knowledge sharing and continuous improvement efforts, fostering a culture of innovation and excellence.
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).
  • Ability to troubleshoot complex data issues and propose scalable solutions.
  • Excellent communication and collaboration skills.
Nice To Have
  • Experience with open table formats such as Apache Iceberg.
  • Working knowledge of Snowflake and its data warehousing capabilities.
  • Familiarity with GDE, Collect > IT, or other components of Ab Initio.

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