Responsibilities

• Lead the design and implementation of scalable data architectures using AWS Glue AWS Lambda and Apache Spark.
• Oversee the development and deployment of data pipelines and workflows to ensure efficient data processing and integration.
• Provide technical expertise in Python for scripting and automation tasks related to data engineering.
• Optimize database performance by identifying bottlenecks and implementing best practices for DB Performance Optimization.
• Develop and maintain data models that support business requirements and enhance data accessibility.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
• Ensure data quality and integrity by implementing robust data validation and cleansing processes.
• Monitor and troubleshoot data workflows to ensure seamless operation and minimal downtime.
• Conduct code reviews and provide constructive feedback to team members to maintain high coding standards.
• Stay updated with the latest industry trends and technologies to continuously improve data solutions.
• Provide mentorship and guidance to junior team members to foster a culture of learning and growth.

Required Skills & Experience

• 8+ years of AWS Glue AWS EMR AWS Lambda Amazon Dynamo DB and Amazon S3.
• Demonstrate proficiency in , Apache Spark and Python for data processing tasks.
• Have in-depth knowledge of the Cards & Payments domain and related compliance requirements.
• Show experience in implementing data security standard processes.
• Display good communication skills to effectively collaborate with multi-functional teams.
• Be familiar with agile development methodologies and practices.

Preferred Qualifications:

• Possess a strong understanding of AWS Glue AWS Lambda and Apache Spark for data processing and integration.
• Demonstrate proficiency in Python for scripting and automation tasks.
• Have extensive experience in DB Performance Optimization to ensure efficient database operations.
• Show expertise in Data Modelling to create robust and scalable data structures.
• Display excellent problem-solving skills and the ability to troubleshoot complex data issues.

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

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan