Data Systems Architect

2 days ago

Lahore, Punjab, Pakistan beBeeDataEngineer Full time 1,200,000 - 1,800,000
Job Title: Data Systems Architect

Location: Hybrid

Job Overview:

We are seeking a highly skilled and experienced Data Engineer with expertise in building, deploying, and optimizing data infrastructure and pipelines. This role requires a strong understanding of end-to-end data pipelines, data modeling, and advanced data engineering practices.


Key Responsibilities:

  • Design and develop large-scale data pipelines using modern big data technologies and cloud-native tools.

  • Build scalable and efficient distributed data processing systems using Hadoop, Spark, Hive, and Kafka.

  • Work extensively with cloud platforms (AWS) and services like EMR, Glue, Lambda, Athena, S3.

  • Design and implement data integration solutions pulling from multiple sources into a centralized data warehouse or data lake.

  • Develop pipelines using DBT and manage workflows with Apache Airflow or Step Functions.

  • Write clean, maintainable, and efficient code for data transformation and processing.

  • Build and manage relational and columnar data stores such as PostgreSQL, MySQL, Redshift, Snowflake, HBase, ClickHouse.

  • Implement CI/CD pipelines using Docker, Jenkins, and other DevOps tools.

  • Collaborate with data scientists, analysts, and other engineering teams to deploy data models into production.

  • Drive data quality, integrity, and consistency across systems.

  • Participate in Agile ceremonies and utilize JIRA for task management.

  • Provide mentorship and technical guidance to junior team members.

  • Contribute to continuous improvement by making recommendations to enhance data engineering processes and architecture.

Required Skills & Qualifications:

  • 5+ years of hands-on experience as a Data Engineer

  • Deep knowledge of Big Data technologies – Hadoop, Spark, Hive, Kafka.

  • Expertise in Python, PySpark, and/or Scala.

  • Proficient with data modeling, SQL scripting, and working with large-scale datasets.

  • Experience with distributed storage like HDFS and cloud storage (e.g., AWS S3).

  • Hands-on with data orchestration tools like Apache Airflow or StepFunction.

  • Experience working in AWS environments with services such as EMR, Glue, Lambda, Athena.

  • Familiarity with data warehousing concepts and experience with tools like Redshift, Snowflake.

  • Exposure to tools like Informatica, AbInitio, Apache Iceberg is a plus.

  • Knowledge of Docker, Jenkins, and other CI/CD tools.

  • Strong problem-solving skills, initiative, and a continuous learning mindset.

Preferred Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.

  • Experience with open table formats such as Apache Iceberg.

  • Hands-on with AbInitio or Informatica tools.

  • Knowledge of Agile methodology, working experience in JIRA.

Soft Skills:

  • Self-driven, proactive, and a strong team player.

  • Excellent communication and interpersonal skills.

  • Passion for data and technology innovation.

  • Ability to work independently and manage multiple priorities in a fast-paced environment.

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