At a Glance
- Tasks: Transform data pipelines and modernise workflows using cutting-edge AWS technologies.
- Company: Join GlobalLogic, a forward-thinking company in the Hitachi Group.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Other info: Collaborative environment with exciting projects and career advancement.
- Why this job: Be at the forefront of data engineering and make a significant impact.
- Qualifications: Experience with data engineering and cloud technologies is essential.
The predicted salary is between 59400 - 72600 £ per year.
Global Logic, a Hitachi Group Company, seeks a highly skilled Consultant Data Engineer to drive a massive architectural shift.
You will move a complex, regulated data ecosystem from on-prem Teradata to an AWS lakehouse using S3, Iceberg, Databricks, and dbt, with Airflow orchestration via Astronomer.
You will convert hundreds of legacy Teradata BTEQ scripts into modular dbt models, implement Open Lineage data lineage, and collaborate with QA to achieve strict parity during governed parallel runs.
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Lakehouse Data Engineer: Modernize Pipelines & DAGs employer: GlobalLogic Inc.
GlobalLogic, a Hitachi Group Company, is an exceptional employer that fosters a collaborative and inclusive work culture, empowering employees to thrive in their careers. With a strong focus on professional development, generous training budgets, and a comprehensive health and wellness plan, employees can enjoy a balanced work-life experience while contributing to innovative projects in a dynamic environment. Located in a region that supports flexible working options, the company also promotes social engagement through various team activities, making it a rewarding place to work for those seeking meaningful employment.
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We think this is how you could land Lakehouse Data Engineer: Modernize Pipelines & DAGs
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We think you need these skills to ace Lakehouse Data Engineer: Modernize Pipelines & DAGs
Some tips for your application 🫡
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
