Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.
Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.
We're hiring Data Engineer in Austin, TX
Here's the job details for reference,
Responsibilities:
Data Pipeline Management: Develop, maintain, and optimize data pipelines: Build and support robust pipelines for data ingestion, processing, and transformation, ensuring high reliability and performance to meet evolving business needs.
Ensure data quality, accuracy, and consistency: Monitor, troubleshoot, and resolve issues related to data pipeline performance, data integrity, and consistency. Ensure accurate and timely data availability across ads data systems.
Data Tools & Reporting: Support the creation and maintenance of reporting systems: Centralize key business metrics and marketplace metrics. Ensure these metrics are consistently tracked, reported, and accessible across teams.
Contribute to data visualization and reporting tools: Assist in implementing data visualization tools like Looker and Hex, ensuring seamless integration of data sources and actionable reporting for both technical and non-technical stakeholders.
Continuously improve reporting data models to enhance scalability and ease of use.
Enhance internal data tools: Develop and maintain internal applications that streamline data analysis, making it easier for cross-functional teams to generate insights. Ensure these tools are optimized for performance and user-friendly.
Collaboration & Data Quality: Work closely with data engineering and data science teams to ensure accurate data collection and consistent advertiser channel history.
Collaborate across teams to ensure the effective integration of data tools and metrics for business tracking and analysis.
Troubleshoot data issues.
Required Qualifications:
Bachelor's or Master's degree in a quantitative discipline: engineering, statistics, operations research, computer science, applied mathematics, etc.
5+ years of experience working with large-scale ETL systems, with a focus on building and maintaining clean, maintainable code (Python preferred) in a production environment.
Strong programming proficiency in Python, SQL, Spark, Scala, etc.
Experience with data modeling, ETL concepts, and maintaining data governance for large-scale structured and unstructured data.
Expertise with data workflows (e.g., Airflow), data modeling, and both front-end and back-end engineering for data systems.
Experience in data visualization and dashboard design, using tools such as Looker, Tableau, or other visualization libraries.
Proven ability to execute in a cross-functional environment, collaborating with engineers, data scientists, and other stakeholders.
Nice to have:
Ads domain experience, including metrics, tracking, and ads product understanding, is a big plus
Past experience collaborating closely with data scientists, machine learning engineers, and data warehouse engineers.
Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.