Design and develop scalable and durable data analytical solutions using in-house and modern technologies for business in an agile environment.
Understand the specific needs of a major line of business and the related set of applications, systems, or functions.
Understand architecture and able to design interaction between multiple modules.
Design and develop distributed data processing pipelines in the Big Data ecosystem in the Cloud, apply data concept, modeling, structures, and infrastructure technologies and adhere to good engineering practices.
Own responsibility for code reviews and drives accountability in following software engineering principles.
Build testing tools and CI/CD pipeline, reduce automation friction to speed up the path to business outcomes.
Identify data performance issues and optimize the solution.
Influence quality standards, identify and measure across the entire solution
Perform on-going production support and on-call support duties.
Work with both Onsite and offshore resources daily to resolve any incidents and issues.
Responsible for cost savings, production notifications, alerts, and logging dashboards.
Collaborate with product managers, data analysts, data scientists, business partners and other tech teams.
Partner with analyst stakeholders toward delivering highly effective self-service BI solutions.
Communicate clearly and efficiently with our partner teams.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience
3+ years of experience in at least one modern programming language such as Java or Python
2+ years of experience with databases, SQL, data modeling, data mining, and automated engineering solutions.
Familiarity with GCP BigQuery and Looker is a plus
Experience with cloud environments such as AWS or GCP
Experience in developing distributed data processing solutions using Kafka, Flink, Spark, Kubernetes, Airflow, or similar technologies.
Experience with dbt is a plus
Experience in scalable distributed systems, service-oriented and event-driven streaming architecture
Experience with best practices for data engineering and operational excellence
Passion for innovative technologies, eagerness to learn and embrace an AI-first development approach, operational excellence, and customer impact.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

JavaPythonSQLdata modelingdata miningKafkaFlinkSparkKubernetesAirflow

Soft Skills

communicationcollaborationaccountabilityproblem-solvinginfluenceadaptabilityinnovationcustomer impactefficiencyleadership

Certifications

Bachelor's degree in Computer ScienceMaster's degree in Engineering