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Manager, Data Engineering Job Opening In Dallas – Now Hiring Akaasa Technologies


Job description

<p>Job Title: Manager, Data Engineering</p> <p>Location: Pleasanton, CA or Dallas, TX preferred, remote is acceptable</p> <p>Length: 10 months</p> <p> </p> <p> </p> <p>We are looking for a strategic and hands-on Manager of Data Engineering to lead a team focused on building scalable data infrastructure for Retail Media Network (RMN) initiatives.

This role requires deep technical expertise in GCP, strong leadership skills, and a passion for driving data-driven media monetization strategies.</p> <p><br /> Your Impact:<br /> Lead and mentor a team of data engineers in designing and implementing scalable data solutions.<br /> Architect and oversee the development of data pipelines using BigQuery, Dataflow, Cloud Composer, and GCS.<br /> Drive the adoption of best practices in ETL, data warehousing, and event streaming.<br /> Partner with product, analytics, and media teams to deliver high-impact data solutions for RMN monetization.<br /> Ensure data governance, security, and compliance across all engineering efforts.<br /> Stay current with emerging technologies and trends in cloud data engineering and media monetization.</p> <br /> Your Skills & Experience:<br /> 7+ years of experience in data engineering, with at least 2 years in a leadership role.<br /> Expert-level proficiency in BigQuery, GCS, Dataflow, and Cloud Composer.<br /> Strong background in ETL architecture, data warehousing, and event streaming.<br /> Advanced Python skills for data engineering and automation.<br /> Proven experience working with Retail Media Network (RMN) data and media monetization strategies.<br /> Excellent leadership, communication, and stakeholder management skills

Required Skill Profession

Operations Specialties Managers


  • Job Details

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Unlock Your Manager Data Potential: Insight & Career Growth Guide


Real-time Manager Data Jobs Trends (Graphical Representation)

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Are You Looking for Manager, Data Engineering Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Akaasa Technologies adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Manager, Data Engineering Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Dallas. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Manager, Data Engineering?

Key qualifications for Manager, Data Engineering typically include Operations Specialties Managers and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Manager, Data Engineering Job Success

Akaasa Technologies interview tips for Manager, Data Engineering

Here are some tips to help you prepare for and ace your Manager, Data Engineering job interview:

Before the Interview:

Research: Learn about the Akaasa Technologies's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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During the Interview:

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Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Final Thought:

To prepare for your Manager, Data Engineering interview at Akaasa Technologies, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Akaasa Technologies's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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