Specialist Integration Software Engineer

• Design, develop, and maintain data solutions for data generation, collection, and processing using Databricks and Airflow
• Design, build and maintainAPIs and MuleSoft jobsleveraging best practices to build robust integrations between CRM and cross-functional systems
• Be a key team member that assistsin design and development of the data pipeline
• Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
• Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
• Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
• Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
• Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
• Implement data security and privacy measures to protect sensitive data
• Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
• Collaborate and communicate effectively with product teams
• Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
• Identify and resolve complex data-related challenges
• Adhere to best practices for coding, testing, and designing reusable code/component
• Explore new tools and technologies that will help to improve ETL platform performance
• Participate in sprint planning meetings and provide estimations on technical implementation

• Doctorate Degree OR Master’s degree with 6 - 11 years of experience in Computer Science, IT or related field OR Bachelor’s degree with 8 - 13 years of experience in Computer Science, IT or related field OR Diploma with 10 - 14 years of experience in Computer Science, IT or related field
• Hands-on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
• Proficiency in data analysis tools (eg.SQL) and experience with data visualization tools
• Skilled in MuleSoft API and Mulesoft integration job design and development
• Excellent problem-solving skills and the ability to work with large, complex datasets
• Strong understanding of data governance frameworks, tools, and best practices.
• Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)

• Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development
• Strong understanding of data modeling, data warehousing, and data integration concepts
• Knowledge of AnyPointPlatform, Python/R, Databricks, SageMaker, Airflow, AWS cloud data platforms
• Proficiency in using Databricks Assistant, and other AI tools
• Certified in MuleSoft Certified Developer 1 or higher (preferred)
• Certified Associate or Professional Data Engineer / Data Analyst (preferred on Databrick)
• Certified AWS Professional or Associate certification (preferred)

Reasonable accommodation for individuals with disabilities