Senior Data Architect

2 days ago

Lahore, Punjab, Pakistan beBeeData Full time $80,000 - $150,000
Senior Data Architect

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

The ideal candidate should have hands-on experience in designing and developing complex data solutions using Big Data and cloud-native technologies, including ETL frameworks, distributed data processing, and data modeling within cloud environments such as AWS.

This role involves leveraging tools such as Ab Initio, Informatica, DBT, and Apache Spark to build scalable data workflows, 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.

We require the ability to 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, and collaborate with cross-functional teams to understand data needs and deliver high-quality datasets for analytics and reporting.

Mentoring junior engineers and contributing to the team's knowledge sharing and continuous improvement efforts is also essential.

You will be responsible for identifying and recommending process and technology improvements to enhance data pipeline performance and reliability.

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

Benefits:

  • A 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
  • A culture that values ownership, continuous learning, and mutual respect

About Us:

We are a forward-thinking organization dedicated to harnessing the power of data to drive business success. If you share our passion for data-driven decision-making and want to join a talented team of professionals who are shaping the future of data engineering, we encourage you to apply.

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