Job summary
Job post source
This job is from a recruiting firm hiring for a separate company as indicated by the contract nature and detailed skill requirements without direct company-specific branding.
Job overview
The Sr. Data Engineer role involves designing and maintaining scalable data pipelines and analytics platforms to support retail media analytics, enabling high-performance data solutions.
Responsibilities and impact
The candidate will build and maintain data workflows using GCP tools, perform data analysis with Python and SQL, collaborate with teams for retail media insights, ensure data quality and security, support data integrations, mentor junior staff, and translate business needs into data strategies.
Experience and skills
Requires 6-8 years in data engineering or analytics, proficiency in SQL and Python, experience with GCP tools like BigQuery, Dataflow, and Composer, and familiarity with clean rooms and retail media analytics; Databricks, Kafka, and marketing analytics experience are preferred.
Job location and travel
Remote work with required EST hours, contract position for 6+ months starting ASAP.
Unique job features
The role focuses on cutting-edge retail media analytics and clean room data integration using advanced GCP technologies in a remote contract setting.
Company overview
ESB Technologies is a leading provider of innovative software solutions, specializing in enterprise service bus (ESB) technology that facilitates seamless integration of various applications and services within an organization. They generate revenue through licensing their proprietary software, offering consulting services, and providing ongoing support and maintenance. Founded in the early 2000s, ESB Technologies has a rich history of pioneering advancements in middleware technology, making them a trusted partner for businesses looking to enhance their IT infrastructure and streamline operations.
How to land this job
Tailor your resume to emphasize your expertise in SQL, Python, and Google Cloud Platform tools like BigQuery, Dataflow, and Composer, as these are critical for the Sr. Data Engineer role at ESB Technologies.
Highlight your experience with data pipeline design, scalable data workflows, and your ability to collaborate with cross-functional teams focused on retail media analytics, which align directly with the job responsibilities.
Apply through multiple channels including the ESB Technologies corporate careers page and LinkedIn to maximize your application visibility and chances of being noticed.
Connect with current employees in ESB Technologies' data or analytics divisions on LinkedIn; initiate conversations by referencing recent retail media analytics trends or asking about their experience working on clean room data projects as engaging ice breakers.
Optimize your resume for ATS by incorporating key phrases from the job description such as 'data engineering,' 'Google Cloud Platform,' 'BigQuery,' 'retail media analytics,' and 'data pipelines' to ensure it passes initial automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications across multiple platforms and identify relevant LinkedIn connections, allowing you to focus your energy on refining your interview skills and networking effectively.
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