Cloud Data Engineer

4 weeks ago


San Antonio, United States CareerBuilder Full time

Job Description

Job Title

: Cloud Data Engineer (Operations/Sales Support)

Summary

:

We are seeking a talented and experienced Cloud Data Engineer with Operations Support and Sales Engineering experience to join our team. The ideal candidate will have a passion for data and a strong desire to learn and grow in the field of data engineering. This exciting role will be responsible for providing production support to our partners as well as working with our sales team to onboard new clients onto our system platform.

Wage Type

: Salaried

Essential Duties & Responsibilities:

To perform this job successfully, an individual must be able to perform each of the essential duties satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Operations Support

Be the go-to person for production support. Troubleshoot issues, identify bottlenecks, and ensure smooth data operations.

Work closely with our partners and internal staff to address any data-related concerns promptly.

Keep a watchful eye on system performance and proactively address any anomalies.

Sales Engineering Collaboration

Partner with our sales team to understand client needs and requirements.

Translate technical jargon into business value. You'll be the bridge between our data solutions and our clients' success.

Assist in onboarding new clients onto our robust system platform.

Assist Sales team with technical expertise for onboarding of potential new clients

Data Engineering

Design, develop, and maintain scalable cloud-based data architectures on AWS.

Implement efficient Extract, Transform, Load (ETL) processes for large datasets.

Collaborate with cross-functional teams to understand data requirements and ensure data solutions meet business needs.

Utilize AWS services such as S3, Glue, Redshift, and EMR to build and optimize data pipelines.

Ensure data security, integrity, and compliance with industry standards and regulations.

Troubleshoot and optimize existing ETL processes for performance and reliability.

Stay updated on emerging cloud technologies and recommend improvements to enhance data engineering capabilities.

Collaborate with data scientists and analysts to provide accessible and high-quality data for analytics and reporting.

Key Deliverables

:

Production support of the cloud-based data eco system through troubleshooting, debugging, analysis, and code deployments.

Support the data warehouse platform maintenance to include patches, upgrades, etc. & working with external vendors or operations staff as required.

Support sales on-boarding & integration process around data mapping and data systems

Support clear communications both within the organization and to business partners around any data initiatives, planning, and problem resolutions

Organizational Structure

:

Reports to: Data Architect

Supervises: N/A

Qualifications:

Education:

Bachelor's degree in Computer Science, Information Technology, or a related field.

Required Knowledge/Skills:

Proven experience as a Cloud Data Engineer with expertise in AWS services.

Strong background in designing and implementing ETL processes.

Familiarity with data modeling, database design, and optimization techniques.

Excellent problem-solving skills and attention to detail.

Ability to work collaboratively in a team environment.

Strong communication skills to articulate technical concepts to non-technical stakeholders.

Desired Experiences

:

Describe any "required" experiences - these are must have experiences

AWS certifications in relevant areas.

Experience with Apache Nifi, Apache Nifi Registry

Knowledge of data warehousing concepts and practices.

Familiarity with DevOps practices in a cloud environment.

Knowledge of Banking and Financial Services

Knowledge of Ataccama

Talents:

Strong positivity.

Mission driven, competitive, goal oriented, and motivated to develop themselves and others.

Energetic, resourceful, and appropriate work intensity to get the work done

Strong people acumen and relationship skills; Naturally pre-disposed to quickly establish positive personal and professional relationships.

Other

:

Ability to interpret a variety of instructions furnished in written, oral, diagram or schedule form.

Must be able to lift to 20 pounds.

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