Sr. Python Data Engineer

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. However, clients need new business models built from analyzing customers and business operations at every angle to really understand them.

With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks

Key Responsibilities

• Data Pipeline Design and Implementation: Design, develop, and maintain scalable and reliable data pipelines using Python and Azure services like Azure Data Factory & Databricks.
• Data Storage Solutions: Design and implement data storage solutions on Azure, including Azure Data Lake Storage, Azure SQL Database, and Azure Synapse Analytics, integrating Python scripts where vital.
• Data Integration and ETL: Develop and implement ETL (Extract, Transform, Load) processes using Python and Azure services to integrate data from various sources.
• Data Quality and Validation: Ensure data quality and accuracy through testing and validation processes using Python.
• Collaboration and Communication: Collaborate with data analysts, data scientists, and other collaborators to understand their needs and deliver data solutions, with a focus on Python-based implementations.
• Performance Monitoring and Optimization: Supervise the performance of data pipelines and infrastructure and identify and address performance issues using Python-based solutions.
• Data Security and Compliance: Ensure data security and compliance with industry standards and regulations, implement encryption and security protocols using Python.
• Documentation: Maintain up-to-date documentation for data processes and pipelines, with detailed Python code documentation.

• Programming Languages: Proficiency in Python and SQL.
• Azure Services: Experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage, and other relevant Azure services, with a focus on integrating Python.
• Data Pipeline Tools: Experience with data pipeline tools and frameworks, especially those that support Python.
• Data Modeling and Schema Design: Experience in designing and implementing data models and schemas using Python.
• ETL Processes: Experience in defining and implementing ETL processes using Python.
• Data Quality and Validation: Knowledge of data quality and validation techniques, especially with Python.
• Collaboration and Communication: Good communication and partnership skills, with an emphasis on Python-based solutions.
• Problem-solving and Solve: Ability to identify and resolve technical issues using Python.
• Cloud Computing: Understanding of cloud computing concepts and technologies, with a focus on Python implementations.

The annual salary for this position is (90,000 - 109,000) depending on the experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.

Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.