Senior Software Engineer - Analytics & Data - 10335

‬‭ Design and deploy a cloud-native analytics platform optimized for performance and scalability.‬

‬‭ Develop and manage an API-driven data infrastructure ensuring secure and efficient data‬‭ access.‬

‬‭ Construct end-to-end data ingestion pipelines to integrate diverse data sources.‬

‬‭ Apply AI techniques for data classification and harmonization to enhance data integrity.‬

‬‭ Oversee data modeling, microservice orchestration, and platform monitoring and alerting.‬

‬‭ Optimize Spark clusters and identify performance bottlenecks.‬

‬‭ Assemble and deliver large, complex datasets that align with business requirements,‬ automating data processes.‬

‬‭ Architect ETL infrastructure using SQL and AWS big data technologies.‬

‬‭ Collaborate with cross-functional teams to resolve data-related issues.‬ ‭

‭ 5-8 years of software engineering experience within a B2B SaaS environment.‬

‬‭ Proven ability to manage substantial data volumes and intricate code structures.‬

‬‭ Expertise in creating scalable Data Warehouse solutions for analytical reporting.‬

‬‭ Strong analytical skills for handling unstructured datasets.‬

‬‭ Experience in designing data transformation, metadata management, and workload‬ management processes.‬

‬‭ Working knowledge of message queuing, stream processing, and big data storage systems.‬

‬‭ Experience with implementing data governance and quality control measures.‬

Proficiency in Python and Jupyter Notebooks.‬

‬‭ Familiarity with SQL and NoSQL databases like MySQL, PostgreSQL, and Cassandra.‬

‬‭ Experience with big data technologies such as Spark and Kafka.‬

‬‭ Experience with cloud platforms (AWS).

‬‭ Experience with data pipeline management tools (Airflow, Luigi)