Strategic Data Architect

1 day ago

Lahore, Punjab, Pakistan beBeeData Full time 2,000,000 - 2,500,000
Job Description

We are seeking a skilled Senior Data Engineer to design and develop complex data pipelines and solutions using Big Data and cloud-native technologies.

The ideal candidate will have hands-on expertise in ETL frameworks, distributed data processing, and data modeling within cloud environments such as AWS. They should be able to leverage tools like Ab Initio, Informatica, DBT, and Apache Spark to build scalable data workflows.

The Senior Data Engineer will work with various structured and unstructured data sources to perform efficient data ingestion and transformation. They will write optimized SQL queries and manage stored procedures for complex data processing tasks.

Key responsibilities include designing and developing ETL pipelines, leveraging tools like Ab Initio and Informatica, implementing distributed data processing using Hadoop, Hive, Kafka, and Spark, and building and optimizing data pipelines in AWS using services like EMR, Glue, Lambda, Athena, and S3.

The Senior Data Engineer will also work with cross-functional teams to understand data needs and deliver high-quality datasets for analytics and reporting. They will deploy data models into production environments and ensure robust monitoring and resource management.

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).
Benefits
  • 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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