Senior Software Developer (Data & Backend Development)

Job Requisition ID #

26WD99219

26WD99219, Senior Software Developer (Data & Backend Development)

French translation to follow!/Traduction française à suivre!

Position Overview

The reporting team is looking for an experienced Sr. Software Developer. You will be reporting to the Engineering Manager of Reporting Team. You will develop software solutions for complex ETL data pipelines and scalable APIs. You will work with Product Managers, Infrastructure, Business Operations, Quality Assurance and other team members to ensure that data is accessible, reliable, and well-structured for reporting.

Responsibilities

Data Pipeline Development

• Develop data pipelines to extract, transform, and load (ETL) data from multiple sources into a centralized data repository
• Improve and refine data pipelines for efficiency, reliability, and scalability
• Monitor and troubleshoot data pipeline issues and ensure data integrity
• We use Python, Airflow, Snowflake, Hive, MySQL, Kinesis, Kafka and AWS (Amazon Web Services)

API Development

• Develop RESTful APIs & microservices to support multiple operations
• Follow best practices for security, scaling, cost effectiveness and testing
• Create unit and integration tests
• Contribute to documentation on use of the APIs

Problem Solving

• Resolve technical issues and bugs in applications
• Identify performance bottlenecks and improve code and databases

Team Collaboration

• Collaborate with engineers, analysts, cross-functional teams and partners to understand data requirements and deliver relevant insights

Performance Optimization

• Improve data processing and query performance for data retrieval and analytics
• Code Review and Documentation: Perform code review and provide constructive feedback within ethical boundaries

Test and Quality Assurance

• Stay up to date with the latest data engineering technologies, and best practices
• Recommend new technologies for data engineering improvements

Security and Compliance

• Ensure data security by implementing access controls, encryption, and comply with data privacy regulations

Minimum Qualifications

• 7+ years of software development experience at multiple capacities
• 2+ years of experience in big data technologies (we use Airflow, EMR/Spark, Snowflake, Hadoop/Hive)
• Experience with data streaming (we use Kinesis/Kafka)
• Proficiency in programming languages (we use Python, Java/Scala)
• Experience building RESTful APIs and microservices
• Experience with relational databases (we use MySQL, PostgreSQL)
• Background on cloud technologies. (we use AWS, S3/EBS, Lambda, EKS, CloudWatch)
• Familiarity with observability platforms (we use Splunk, Datadog)
• Have sound knowledge of design patterns and methodologies across multiple platforms
• Knowledge and support of modern development practices, such as Agile and Open-Source technologies
• Excellent debugging skills

Preferred Qualifications

• Bachelor’s in computer science or equivalent
• Certifications (optional)
• AWS Certified Developer - Associate

______________________________________________________________________________________________________________

26WD99219, Développeur logiciel senior (Développement de données et backend)

Présentation du poste

L’équipe Reporting recherche un développeur logiciel senior expérimenté. Vous serez rattaché au responsable technique de l’équipe Reporting. Vous serez chargé de développer des solutions logicielles pour des pipelines de données ETL complexes et des API évolutives. Vous travaillerez en collaboration avec les chefs de produit, les équipes Infrastructure, Opérations commerciales, Assurance qualité et d’autres membres de l’équipe afin de garantir que les données sont accessibles, fiables et bien structurées pour le reporting.

Responsabilités

Développement de pipelines de données

• Développer des pipelines de données pour extraire, transformer et charger (ETL) des données provenant de multiples sources vers un référentiel de données centralisé
• Améliorer et affiner les pipelines de données pour en optimiser l’efficacité, la fiabilité et l’évolutivité
• Surveiller et résoudre les problèmes liés aux pipelines de données et garantir l’intégrité des données
• Nous utilisons Python, Airflow, Snowflake, Hive, MySQL, Kinesis, Kafka et AWS (Amazon Web Services)

Développement d’API…