Senior Data Technology Engineer

1 week ago

Hyderabad City Taluka, Pakistan beBee Careers Full time

This role presents a unique opportunity to leverage your technical expertise in data engineering and collaborate with a fast-paced team to create the data technology stack that drives end-user insights. Your mission is to design, develop, and implement efficient data pipelines and solutions that inform business decisions and drive innovation.

Key responsibilities include:

  • Gain a deep understanding of brand and enterprise data warehouse/reporting requirements to construct appropriate ETL processes, database queries, and data models that support data aggregation and reporting on actionable insights.
  • Passion for writing efficient, organized, simple, and scalable code meeting business requirements.
  • Enthusiasm to learn and find opportunities to enhance and adapt in daily engineering activities.
  • Deliver high-quality end-to-end JIRA user stories meeting quality expectations of the team.
  • Familiarity with BI tools and ability to create semantic layer models for business users.
  • Gain an understanding of multiple datasets to perform ad-hoc analysis for different business units.
  • Participate in QA testing for data pipeline projects as well as implementation changes to the suite of analytical tools.

To be successful in this position, you will need:

  • Bachelor's degree in computer science, information systems, or information technology.
  • At least 3 years of experience in data engineering.
  • Experience with programming languages – SQL, Python, AWS Glue, and databases (Snowflake, Postgres, Dynamo DB).
  • Experience with AWS cloud services – Kinesis, Lambda, IAM Policies.
  • Experience in software delivery through continuous integration (e.g., Git, Bitbucket, Jenkins).
  • Experience in automation and scheduling tools (e.g., Redwood, Airflow).
  • Ability to leverage creative analytics techniques and output to tell a story that drives business decisions.
  • Critical problem-solving ability and strategic thinking.

In addition to these qualifications, having public speaking and presentation skills, as well as a deep understanding of API connectivity and data streaming architecture, would be valuable assets in this role.

This position requires a strong commitment to collaboration, communication, and delivering high-quality results under pressure. If you are a motivated and detail-oriented professional with a passion for data engineering, we encourage you to apply.

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