Data Engineering

What success looks like in this role:

End-to-End Pipeline Engineering: Build and automate robust ETL/ELT pipelines using Azure Data Factory (ADF) AWS Glue and Apache Airflow.

Distributed Computing: Develop large-scale data processing jobs using PySpark and Scala within Databricks or EMR environments.

Streaming & Real-time Integration: Design and implement real-time data ingestion and processing layers using Apache Kafka Confluent or AWS Kinesis.

Data Lakehouse : Manage and optimize cloud storage using ADLS Gen2 and S3 implementing ACID transactions with Delta Lake or Apache Iceberg.

Advanced Data Modeling: Design highly performant schemas for cloud data warehouses like Snowflake Amazon Redshift or Google BigQuery.

Data Transformation & Quality: Use dbt (data build tool) for modeling and implement automated quality checks using Great Expectations or Soda.

Infrastructure & CI/CD: Deploy and manage data infrastructure using Terraform or CloudFormation and maintain CI/CD pipelines via GitHub Actions or GitLab CI.

Technical Stack Requirements

Cloud Platforms: Deep hands-on experience with Microsoft Azure (ADF Synapse Databricks) and AWS (S3 Glue Athena Lambda).

Programming: Strong proficiency in Python (PySpark FastAPI) SQL and familiarity with Java or Scala.

Big Data Tools: Experience with Apache Spark Apache Flink and Hadoop ecosystem.

Databases: Strong knowledge of both Relational (PostgreSQL MySQL) and NoSQL (MongoDB Cassandra or DynamoDB) databases.

Containerization: Proficiency with Docker and Kubernetes (K8s) for deploying data services.

Observability: Familiarity with monitoring tools like Prometheus Grafana or Datadog to track pipeline health.

#LI-BN1

You will be successful in this role if you have:

Experience: 46 years of professional experience in data engineering backend engineering or a related field.

Education: Bachelors Engineering

Methodology: Strong understanding of Agile methodologies and the ability to work in a fast-paced iterative environment.

Soft Skills: Excellent problem-solving skills and the ability to explain complex technical concepts to non-technical stakeholders.

Preferred Certifications

Azure Data Engineer Associate (DP-203).

AWS Certified Data Engineer Associate.

Databricks Certified Professional Data Engineer.

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 . US job seekers can find more information about Unisys EEO commitment here.