Senior Data Engineer

Sunnydata

Argentina

RemoteCareer-pivot friendly

Who this role is best for

Geared toward candidates with 5+ years of data engineering experience comfortable with designing complex data solutions and guiding customers on technical decisions.

Best fit for

Candidates with 5+ years of data engineering experience and a track record of domain expertise
— “5+ years of related experience in data engineering and data product development.”
Professionals who thrive in collaborative environments and can educate end users on data products
— “Collaborate within and across teams to support delivery and educate end users on data products / analytic environments.”
Individuals with strong communication skills and a passion for solving customer data challenges
— “Strong English verbal and written communication skills.”

Things to consider

This role requires a strong foundation in end-to-end data analytics workflow and system debugging.
— “Solid understanding of the end to end data analytics workflow.”
Candidates must be prepared to work with multiple customer accounts and track their progress.
— “Actively work across multiple customer accounts which you would need to track and report on their progress.”

How to stand out

Highlight experience with data governance and data quality frameworks in your resume and interview responses.
— “Incorporate core data management competencies including data governance, data security and data quality.”
Emphasize your ability to guide customers on technical decisions and recommend data solutions.
— “Guide customers to make the best technical decisions to achieve their goals.”
Showcase your experience with data engineering technologies like Spark, Hadoop, or Kafka.
— “Experience in one or more of the following: Data Engineering technologies (e.g., Spark, Hadoop, Kafka)”
Demonstrate your ability to test data movement and transformation code effectively.
— “Test data movement, transformation code, and data components.”
Include any public cloud platform experience (AWS, Azure, or GCP) as a differentiator in your application.
— “Nice to have: knowledge of public cloud platforms AWS, Azure or GCP.”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

data solutions design
data transformation
data cleansing

Typical background

data engineeringdata sciencesoftware engineering

Skills & requirements

Required

Data EngineeringData WarehousingData GovernanceData SecurityData Quality

Preferred

Public Cloud PlatformsDatabricks Data Engineering Certification

Stack & domain

Data EngineeringData Product DevelopmentSparkHadoopKafkaPandasscikit-learnHPOSQLOltp/olap/dssData GovernanceData SecurityData QualityData MovementData TransformationData CleansingData ComponentsData AnalysisData ProductsAnalytic EnvironmentsPublic Cloud PlatformsAWSAzureGCPDatabricks Data EngineeringDatabricks Machine LearningLeadershipProblem-solvingCommunicationCollaborationTeamworkTime ManagementPrioritization

About the role

Original posting from Sunnydata via Ashby

At SunnyData our mission is to help our customers in their data journey to power their business. We believe a solid foundation is the key to achieving outstanding data driven results: highly scalable architectures, robust data engineering pipelines, simple data consumption layers and accurate ML and AI applications. As a Senior Data Engineer, you will play a critical role during this customer journey. You will directly work with internal teams and customers to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and Business Intelligence insights.
The Impact You Will Have
Be part of a team responsible for supporting new and existing customers in their data engineering needs.
Guide customers to make the best technical decisions to achieve their goals.
Actively work across multiple customer accounts which you would need to track and report on their progress.
Design, build and operationalize complex data solutions, fix issues, apply transformations, and recommend data cleansing / quality solutions.
Analyze data sources to determine their value and recommend them to include in analytical processes.
Incorporate core data management competencies including data governance, data security and data quality.
Collaborate within and across teams to support delivery and educate end users on data products / analytic environments.
Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.
Test data movement, transformation code, and data components.
What We Look For
5+ years of related experience in data engineering and data product development.
Experience in one or more of the following:
Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)
Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
Solid understanding of the end to end data analytics workflow.
Demonstrated track record of domain expertise including the ability to understand technical concepts and possess in-depth knowledge of immediate systems worked on.
Proven problem solving skills including debugging skills.
Strong English verbal and written communication skills.
Leadership - Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities.
Excellent time management and prioritization skills.
Nice to have: knowledge of public cloud platforms AWS, Azure or GCP.
Nice to have: Databricks data engineering or machine learning certification.
Education:
Bachelor’s Degree in Computer Science or Engineering related field.
Our Commitment to Diversity and Inclusion:
SunnyData is dedicated to building a workforce that reflects the world around us. We are an equal opportunity employer committed to unbiased hiring practices. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity, disability, veteran status, or any other protected characteristic.
Why Join SunnyData?
Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.
Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.
Career Growth: Opportunities for professional development and career advancement.
Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.
If you are passionate about data engineering and enjoy engaging with clients to solve their most challenging problems, we would love to hear from you. Apply today and become a key player in SunnyData's success story.

Source: Sunnydata careers (Ashby)