Senior Data Engineer
Unisys Corporation17 days ago
Hyderābād, IndiaSenior
Responsibilities
- Design, develop, and maintain large-scale data pipelines using Python and PySpark.
- Build and optimize batch and near-real-time data processing solutions.
- Design scalable data architectures, data lakes, and modern data platforms on AWS.
- Develop ETL/ELT workflows for ingesting, transforming, and publishing datasets.
- Design and maintain NoSQL database solutions using DynamoDB.
- Implement OpenSearch search and analytics solutions, including indexes and search schemas.
- Optimize data processing jobs, queries, search performance, scalability, and cost efficiency.
- Monitor, troubleshoot, and resolve data platform and pipeline issues.
- Implement data quality, governance, security, and observability best practices.
- Collaborate with product teams, architects, and software engineers to define data requirements.
- Participate in code reviews and mentor junior engineers.
Requirements
- Strong expertise in Python and extensive experience with PySpark and distributed data processing.
- Hands-on experience building data lakes, modern data platforms, and large-scale data processing solutions.
- Strong understanding of ETL/ELT frameworks, data modeling, and efficient large-dataset processing.
- Expert-level knowledge of AWS services and cloud-native data solutions.
- Strong SQL skills, query optimization experience, and knowledge of partitioning, indexing, and data access patterns.
- Experience with DynamoDB and OpenSearch or Elasticsearch, including search performance tuning.
- Working knowledge of Java and object-oriented programming and software engineering practices.
- Experience implementing analytics and monitoring dashboards.
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent combination of education and experience.
- 8+ years of experience in Data Engineering; the posting also states 8–10 years of relevant experience.
- Preferred experience with Kafka or Kinesis, Airflow or other workflow orchestration tools, Docker, Kubernetes, Terraform, Databricks, Delta Lake, Snowflake, and machine learning data pipelines.
- Experience in Agile/Scrum development environments and the ability to mentor and guide team members.
Tech Stack
Amazon DynamoDBAmazon RedshiftApache AirflowApache KafkaAWSDatabricksDockerElasticsearchJavaKubernetesPythonSnowflakeSQLTerraform
Categories
Data Engineering
About Unisys Corporation
Unisys Corporation provides IT services, consulting, and software for enterprises and public-sector agencies, including digital workplace, cloud and infrastructure, cybersecurity, and enterprise computing/mainframe systems. The company was formed in 1986 and is headquartered in Blue Bell, Pennsylvania; it is publicly traded on the NYSE. Unisys works across regulated industries such as government, financial services, and transportation, offering managed services and mission-critical solutions.