Trantor
https://trantorinc.comAbout
Trantor is a pioneer in creating enterprise technology solutions and state-of-the-art CaptiveCoE™ assisting enterprises across the globe with their digital transformations and business needs. Our commitment to excellence and authenticity has led to long-term working relationships with our clients and solution partners.
Since 2012, Trantor has helped enterprises across the globe expand their engineering capabilities and build successful technology products. With deep expertise in cloud strategy, cloud-native development, containers, application modernization, AI/ML, and Security/Compliance we help our customers leverage the full capabilities of the AWS cloud to accelerate innovation.
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PythonConnect with the team
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Jobs at Trantor
Shift Timing: 3 PM to 12 AM IST
Job Summary
We are looking for a highly skilled and motivated Data Engineer with strong expertise in AWS data services to join our data platform team. The ideal candidate will have hands-on experience designing scalable data pipelines, workflow orchestration frameworks, and large-scale data migration solutions.
This role will be responsible for building robust cloud-native data engineering solutions on AWS, migrating datasets from legacy systems and data warehouses, and ensuring secure and efficient data processing pipelines across distributed environments.
Key Responsibilities
AWS Data Pipeline Development
Design and implement scalable ETL/ELT data pipelines using AWS Glue, AWS Lambda, and AWS S3.
Build and maintain high-performance data ingestion frameworks for processing large-scale datasets.
Implement data pipelines for data warehousing and analytics platforms such as AWS Redshift.
Optimize storage and querying strategies using AWS S3 data lakes.
Data Workflow Orchestration
Develop and maintain data workflow orchestration frameworks using tools such as Apache Airflow or AWS Step Functions.
Automate complex workflows including data ingestion, transformation, validation, and loading processes.
Build reusable and configurable workflows to support multiple data processing use cases.
Data Migration & Integration
Lead data migrations from legacy data warehouse technologies to modern AWS data platforms.
Perform data migration from RDBMS systems (e.g., MySQL, SQL Server, Oracle) to AWS S3 or AWS Redshift.
Design scalable migration frameworks for large datasets with minimal downtime.
Integrate data sources from enterprise applications and external systems.
Data Security & Governance
Implement secure data pipelines using AWS security best practices.
Manage access control and data governance using AWS IAM and Lake Formation.
Ensure data encryption, access management, and compliance across all data platforms.
Performance Optimization & Monitoring
Monitor data pipelines and troubleshoot performance issues.
Optimize ETL workflows for scalability, reliability, and cost efficiency.
Implement logging, monitoring, and alerting mechanisms for data pipelines.
Required Skills & Qualifications (Must Have)
7+ years of experience in Data Engineering or Data Platform development
Strong hands-on experience with:
AWS
AWS Glue
AWS S3
AWS Lambda
Experience with Data Workflow Orchestration tools such as Apache Airflow or AWS Step Functions
Experience performing data migrations from other data warehouse technologies
Experience performing data migrations from RDBMS systems to AWS S3 or AWS Redshift
Strong expertise in Python and SQL for building scalable data pipelines
Solid understanding of ETL/ELT concepts, data partitioning, and distributed data processing
Experience working with version control systems such as GitLab or Bitbucket
Strong debugging, analytical thinking, and problem-solving skills
Basic understanding of Object-Oriented Programming concepts
Industry Knowledge & Experience
Experience building cloud-native data engineering solutions on AWS
Experience with data warehouse architectures and large-scale analytics platforms
Hands-on experience with data extraction, transformation, and migration frameworks
Experience working in high-volume data environments such as FinTech, analytics platforms, or enterprise data systems
Good to Have Skills
IBM Cognos
AWS Athena
AWS Lake Formation
AWS Redshift
AWS Glue Data Catalog
AWS SageMaker
AWS IAM
Soft Skills
Strong communication skills to present technical solutions and recommendations to stakeholders
Ability to work cross-functionally in a fast-paced and evolving environment
Detail-oriented with a proactive approach to identifying and solving data platform challenges
Ability to collaborate effectively with data scientists, analysts, and platform engineering teams
JavaShift timing : 3pm -12 PM
We are looking for a Backend Engineer with strong hands-on experience in Java 17, Spring, application
modernization, dependency upgrades, and production remediation.
The engineer will work on modernizing existing Java applications, including runtime and framework
upgrades, dependency and CVE remediation, and compatibility with HBase/Spark-based data platforms.
The role requires strong focus on maintaining application behavior and API compatibility while making
modernization changes.
The ideal candidate should have experience with Java 8 to Java 17 modernization, dependency
remediation, automated testing, integration validation, and production application migration.
Responsibilities
● Modernize existing Java applications from legacy runtimes to Java 17.
● Upgrade Spring/framework versions while maintaining application functionality and
compatibility.
● Analyze and remediate application dependencies and associated CVEs/security vulnerabilities.
● Assess compatibility issues resulting from Java, Spring, library, runtime, and platform upgrades.
● Work with HBase and Spark integrations and resolve compatibility issues between applications
and data platforms.
● Develop and maintain backend services and REST APIs as required during modernization.
● Perform dependency upgrades using Maven and/or Gradle.
● Implement code changes required to support runtime and framework modernization.
● Use automated testing to validate application behavior following modernization changes.
● Perform integration and compatibility testing across application, data, and infrastructure layers.
● Support remediation of findings identified through security scanning and dependency analysis.
● Work with DevSecOps and Security teams to resolve application security findings.
● Participate in production migration, deployment, cutover, validation, and rollback activities.
● Troubleshoot production compatibility and application issues during migration and stabilization.
● Maintain technical documentation related to modernization, dependencies, compatibility, and
remediation.
● Collaborate with Cloud, Data, QA, Security, and DevSecOps teams to resolve cross-functional
issues.
Must-Have Skills
● 5+ years of hands-on Java backend development experience.
● Strong experience with Java 17 and Java application modernization.
● Strong experience with Spring / Spring 5.
● Experience with Java 8 to Java 17 migration or equivalent runtime modernization.
● Strong experience with Maven and/or Gradle.
● Experience with REST APIs and backend service development.
● Experience with dependency upgrades and CVE/security remediation.
● Experience with application compatibility testing during runtime/framework upgrades.
● Significant experience leveraging AI agents in coding.
● Experience integrating Java applications with HBase and/or Spark.
● Strong understanding of application dependencies and impact analysis.
● Experience with JUnit and Mockito or equivalent unit-testing frameworks.
● Experience supporting production application migration and validation.
● Strong troubleshooting and debugging skills.
Good-to-Have Skills
● Experience with Amazon Corretto 17.
● Experience with HBase 2.x migration.
● Experience with Spark/Scala integration.
● Experience with OWASP Dependency Check.
● Experience with security scanning and software composition analysis.
● Experience with Activiti or similar workflow/process engines.
● Experience with API compatibility and regression testing.
● Experience with CI/CD-based application deployment.
● Experience with production cutover and rollback activities.
● Experience working on large-scale application modernization programs.
Shift Timing: 3:00 PM to 12:00 AM
Summary of the Role
We are looking for a “Senior Data Platform Engineer” with strong hands-on experience in HBase, Amazon EMR, Hadoop, and Spark to support a production data platform modernisation and migration programme.
The role will focus on migrating and modernising distributed data platforms while maintaining application compatibility, data integrity, performance, and operational stability. The ideal candidate must have real production experience operating and migrating HBase/EMR environments, not only experience with Spark, Databricks, or ETL development.
The engineer will participate in migration planning, cluster-level troubleshooting, data validation, snapshot/restore activities, cutover, rollback, and post-migration verification.
Responsibilities
Design and execute migration and modernization activities for HBase, EMR, Hadoop, and Spark environments.
Support production migration of HBase/EMR workloads across environments.
Perform cluster-level troubleshooting and resolve performance, availability, and compatibility issues.
Plan and execute HBase snapshots, restore, and migration activities.
Validate migrated data using row/region counts, checksums, reconciliation, application behavior, and other appropriate validation methods.
Support HBase data movement using relevant migration mechanisms such as Snapshot/ExportSnapshot/HFile.
Analyze dependencies between HBase, Spark, Hadoop, applications, and supporting platform components.
Support EMR version upgrades and platform modernization.
Participate in production cutovers, maintenance windows, rollback planning, and post-cutover validation.
Troubleshoot migration issues involving data integrity, cluster configuration, application connectivity, performance, and compatibility.
Work with Backend, Cloud, Architect, DevSecOps, Security, and QA teams to resolve cross-platform dependencies.
Support data validation and reconciliation between legacy and target environments.
Document migration procedures, validation results, issues, resolutions, and operational runbooks.
Contribute to automation and repeatable processes for migration and validation activities.
Must-Have Skills
5+ years of experience in Data Engineering / Big Data Engineering.
Strong hands-on production experience with HBase.
Strong experience with Amazon EMR.
Strong experience with Apache Spark.
Strong understanding of Hadoop ecosystem.
Experience with Scala and/or Spark programming.
Experience with S3 and AWS-based data platforms.
Hands-on experience with HBase/EMR migration or modernization.
Experience with production data migration and cutover activities.
Experience validating migrated data through row/region counts, reconciliation, checksums, or equivalent validation techniques.
Experience troubleshooting distributed data platforms at the cluster level.
Strong understanding of dependencies between HBase, Spark, Hadoop, and application workloads.
Experience with production support and migration-related troubleshooting.
Good-to-Have Skills
Experience with HBase 1.x and HBase 2.x.
Experience with EMR 5.x and EMR 7.x.
Experience with HBase Snapshot and ExportSnapshot.
Experience working with HFiles and Coprocessors.
Experience with Apache Phoenix.
Experience with Hive, Presto, and/or Iceberg.
Experience with Kerberos in Hadoop/HBase/EMR environments.
Experience with KMS and encrypted data platforms.
Experience with data integrity validation using checksums.
Experience with rollback and snapshot/restore strategies.
Experience supporting large-scale enterprise data platform modernization.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Java
Spring BootRoles and responsibilities:
Actively participate in requirement analysis and ensure all scenarios/use cases are captured
Good verbal and written communication skills
Strong analytical and problem-solving skills
Coordinate with QA and Product Management to ensure proper delivery and execution of product/feature deliverables
Prior experience in Agile-Scrum software development environment
Perform effective code reviews submitted by peers
Perform Unit testing (tools – JUnit, Mockito)
Well-versed with code coverage concepts and tools
Familiar with continuous integration tools
Well-versed with refactoring concepts and Code-smell concepts Propose and implement technical solutions
Deliver relevant technical artifacts based on standard practices.
Deliver a program on time with high quality
Understand and Review requirements w.r.t. the business needs to Participate regularly in project meetings with the customer
Skillset
Must-Have Java 7, 8, Spring, SpringBoot, Microservices JPA/Hibernate Rest Web Services
AWS – Usage of at least any of SES / SQS / SNS / S3 / Lambda / DynamoDB Jenkins Bitbucket, GIT
Basic Knowledge of Javascript, HTML Struts, EJB
Experience with SQL and No-SQL technologies is required (e.g. Mongo DB, Dynamo DB)
Prior experience in an Agile-Scrum software development environment is required
Experience with Jira and Confluence preferred
Good to have AWS EC2, Elastic Beanstalk, Docker Swings Datadog/Splunk
Thanks and Regards,
Seema Bisht
Senior Talent Acquisition Partner || Trantor Inc.
Plot No. G-9, IT Park - Chandigarh, India - 160101
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Java
Javascript
React.js
Angular (2+)
AngularJS (1.x)Responsibilities
- Responsible for the entire development process.
- Work with development teams and product managers to ideate software solutions
- Analyzing user requirements, envisioning system features and functionality.
- Design, build, and maintain efficient, reusable, and reliable codes by setting expectations and features priorities throughout the development life cycle.
- Working with Senior leadership and stakeholders to present ideas and solutions
- Design client-side and server-side architecture
- Build the front-end of applications through appealing visual design
- Develop and manage well-functioning databases and applications
- Write effective APIsTest software to ensure responsiveness and efficiency in troubleshoot, debug and upgrade software
- Create security and data protection settings.
Experience
- 5-8 years of software development experience in java.
- Knowledge of multiple front-end languages and libraries (e. g. HTML/ CSS, JavaScript/Typescript, XML, jQuery)
- Familiarity with RESTful APIs. Experience with Angular 5 Angular 8 and/or experience with React JS
- Strong debugging/troubleshooting skills.
- Good understanding of SDLC, Agile methodologies
- Proven experience as a Full Stack Developer.
- Experience developing desktop and mobile applications
- Familiarity with common stacks Knowledge of multiple back-end languages (e. g. C#, Java, Python) and JavaScript frameworks (e. g. Angular, React, Node.js )Familiarity with Docker and Kubernetes Familiarity with databases (e. g. MySQL, MongoDB), web servers (e. g. Apache) & Drools.
- Excellent communication and teamwork skills
- Great attention to detail Organizational skills
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Tarento is a unique blend of Nordic efficiency and Indian technological depth, operating from offices in Sweden, Finland, Norway, and India. With its largest technology hub in Bangalore and strong consulting and data management capabilities in Finland, the company helps organisations navigate digital transformation with no-hassle, high-quality services across enterprise applications, data & information management, and custom engineering solutions.
Founded in 2009 and strengthened through strategic milestones—including becoming part of the Acando Group and acquiring Finnish data management consultancy DATPRO—Tarento has built a comprehensive capability stack that bridges technology and business. Today, the company supports clients across the Nordics and India, solving core business challenges through a powerful combination of advanced technology skills, deep data expertise, and reliable long-term application management services.
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