Extensive experience with PySpark and distributed data processing.
Hands-on experience building data lakes and modern data platforms.
Strong understanding of ETL/ELT frameworks and data modeling.
Experience processing large datasets efficiently.
AWS Cloud
Expert-level knowledge of AWS services such as
EMR
Glue
Lambda
S3
Athena
Redshift
ECS/EKS
Step Functions
EventBridge
IAM
CloudWatch
SNS/SQS
Databases
Strong SQL skills and query optimization experience.
Experience with NoSQL databases, particularly DynamoDB.
Understanding of partitioning, indexing, and data access patterns.
Search & Analytics
Hands-on experience with OpenSearch / Elasticsearch.
Experience designing indexes and search schemas.
Knowledge of query optimization and search performance tuning.
Experience implementing analytics and monitoring dashboards.
Programming
Strong Python development skills.
Working knowledge of Java.
Understanding of object-oriented programming and software engineering best practices.
Preferred Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
8+ years of experience in Data Engineering.
Experience with streaming platforms such as Kafka or Kinesis.
Experience with Airflow or other workflow orchestration tools.
Experience with Docker and Kubernetes.
Exposure to Data Lake and Lakehouse architecture.
Experience in Agile/Scrum development environments.
Good to Have
Apache Kafka
Apache Airflow
Terraform
Databricks
Delta Lake
Snowflake
CI/CD pipelines
Machine Learning data pipelines
Key Competencies
Strong problem-solving and analytical skills.
Ability to work in a fast-paced, cloud-native environment.
Excellent communication and stakeholder management skills.
Strong ownership and accountability mindset.
Ability to mentor and guide team members.
#LI-MI1
You will be successful in this role if you have
BA/BS degree and 8-10 years’ relevant experience OR equivalent combination of education and experience
Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.
Local employment practices and rights may vary by jurisdiction and are subject to applicable local laws. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers.
If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com. US job seekers can find more information about Unisys’ EEO commitment here.
