Senior Data Engineer
Unisys · Hyderabad-Waverock
What success looks like in this role:
We are seeking an experienced Senior Data Engineer to design, build, and maintain scalable data platforms and data processing pipelines. The ideal candidate will have strong expertise in Python, PySpark, AWS, DynamoDB, and OpenSearch, along with exposure to Java. This role requires hands-on experience building cloud-native big data solutions, optimizing large-scale data processing workloads, and enabling data-driven decision-making across the organization.
Key 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 on AWS.
- Develop ETL/ELT workflows for ingesting, transforming, and publishing datasets.
- Work with structured and semi-structured data from multiple sources.
- Design and maintain NoSQL database solutions using DynamoDB.
- Implement search and analytics solutions using OpenSearch.
- Optimize data processing jobs for performance, scalability, and cost efficiency.
- Collaborate with product teams, architects, and software engineers to define data requirements.
- Monitor, troubleshoot, and resolve data platform and pipeline issues.
- Implement data quality, governance, security, and observability best practices.
- Participate in code reviews and mentor junior engineers.
Required Technical Skills
Data Engineering
- Strong expertise in Python.
- 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.
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