Data Engineer at Cognizant in Plano, TX

Summary: Cognizant is a leading technology and engineering company seeking a motivated Data Engineer to join their Data Engineering team. The role involves designing, developing, and maintaining robust data pipelines for various data types while collaborating with data scientists and business stakeholders to deliver effective solutions.

Responsibilities:
- Design, develop, and optimize data pipelines using Python, Spark, and SQL
- Ingest, process, and analyze structured (e.g., relational databases), semi-structured (e.g., JSON, XML), and unstructured data (e.g., text, logs, images) from diverse sources
- Implement data quality checks, validation, and transformation logic to ensure data integrity and reliability
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions
- Develop and maintain data models, data dictionaries, and technical documentation
- Monitor, troubleshoot, and optimize data workflows for performance and scalability
- Ensure compliance with data governance, security, and privacy policies
- Support data migration, integration, and modernization initiatives, including cloud-based solutions (AWS, Azure, GCP)
- Automate repetitive data engineering tasks and contribute to continuous improvement of data infrastructure
- Knowledge of any of the cloud platforms (AWS, Azure, GCP)
- Understanding of data security, encryption, and compliance best practices

Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field
- Good programming skills in Python and SQL
- Good problem-solving, analytical, and communication skills
- Ability to work collaboratively in a fast-paced environment
- Familiarity with data orchestration tools (e.g., Airflow, Prefect)
- Exposure to data lake and data warehouse architectures (e.g., Snowflake, Databricks, Big query etc.)
- Knowledge of containerization and CI/CD pipelines (e.g., Docker, Kubernetes, GitHub)
- Familiarity with data visualization tools
- Basic understanding of ETL/ELT concepts, data modeling, and data architecture

Preferred Qualifications:
- Knowledge of any of the cloud platforms (AWS, Azure, GCP)
- Understanding of data security, encryption, and compliance best practices

Required Skills: Python, SQL, Apache Spark, Airflow, Prefect, Snowflake, Databricks, BigQuery, Docker, Kubernetes, GitHub, AWS, Azure, Google Cloud Platform, ETL, ELT, Data modeling, Data architecture, Data visualization

Benefits: 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