

Estuate Software
https://estuate.comAbout
Estuate is a global IT services company that offers innovative software solutions ranging from Product Engineering services to Subscription Billing and GRC to Digital Transformation. They help businesses thrive with their out-of-the-box tech solutions and expert consulting services. Estuate's IBM InfoSphere Optim Archive Viewer 11.7 is a powerful and intuitive solution for accessing and analyzing archived data, fully compatible with IBM’s Cloud Pack for Data technology stack.
Estuate's software solutions aid organizations in managing data properly throughout its lifetime, allowing them to make informed decisions and stay compliant with industry regulations. Their IBM InfoSphere Optim Archive family of tools handles older data in active applications and retains data in retired applications for legal, regulatory, or analytical purposes. Industries in which Estuate operates include healthcare, finance, retail, and technology. They have a worldwide presence with operations in several parts of the world including Canada, India, and the UK.
Tech stack
Candid answers by the company
All jobs are work from office for Bangalore location- Yelahanka
Jobs at Estuate Software
About the company:
At Estuate, more than 400 uniquely talented people work together, to provide the world with next-generation product engineering and IT enterprise services. We help companies reimagine their business for the digital age.
Incorporated in 2005 in Milpitas (CA), we have grown to become a global organization with a truly global vision. At Estuate, we bring together talent, experience, and technology to meet our customer’s needs. Our ‘Extreme Service’ culture helps us deliver extraordinary results.
Our key to success:
We are an ISO-certified organization present across four distinct global geographies. We cater to industry verticals such as BFSI, Healthcare & Pharma, Retail & E-Commerce, and ISVs/Startups, as well as having over 2,000 projects in our portfolio.
Our solution-oriented mindset fuels our offerings, including Platform Engineering, Business Apps, and Enterprise Security & GRC.
Our culture of oneness
At Estuate, we are committed to fostering an inclusive workplace that welcomes people from diverse social circumstances. Our diverse culture shapes our success stories. Our values unite us. And, our curiosity inspires our creativity. Now, if that sounds like the place you’d like to be, we look forward to hearing more from you.
Role Requirements:
- Core: Strong experience in Java, J2EE, Microservices, REST APIs, and Spring ecosystem including Spring Boot and Hibernate
- Databases: Hands-on with MySQL, Redis, and exposure to MongoDB
- Messaging / Indexing: Experience working with Kafka for messaging and Elasticsearch for indexing and search
- Web Technologies: Proficient in XML, YAML, JSON, HTML, and CSS
- Operating Systems: Worked across Linux, Solaris, and Windows environments
- Tools & Methodologies: Familiar with Git, SVN, and Agile/Scrum tools and practices
- Cloud & Others: Experience with AWS
Preferred Qualifications:
- Bachelor’s or Master’s degree in Computer Science or related field.
- 15+ years of experience in full-stack application development and engineering management.
- Proven record of leading large teams, building scalable platforms, and delivering customer-centric solutions.
- Strong communication, stakeholder management, and problem-solving skills.
Role responsibilities:
- Lead architecture & development using Java/J2EE, Spring, Spring Boot, Microservices, REST
- Design scalable, secure, high-performance systems
- Own module & platform-level architecture decisions
- Drive Agile delivery, engineering best practices & code quality
- Mentor teams and collaborate closely with customers
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Job Title: Data Engineer / Integration Engineer
Job Summary:
We are seeking a highly skilled Data Engineer / Integration Engineer to join our team. The ideal candidate will have expertise in Python, workflow orchestration, cloud platforms (GCP/Google BigQuery), big data frameworks (Apache Spark or similar), API integration, and Oracle EBS. The role involves designing, developing, and maintaining scalable data pipelines, integrating various systems, and ensuring data quality and consistency across platforms. Knowledge of Ascend.io is a plus.
Key Responsibilities:
- Design, build, and maintain scalable data pipelines and workflows.
- Develop and optimize ETL/ELT processes using Python and workflow automation tools.
- Implement and manage data integration between various systems, including APIs and Oracle EBS.
- Work with Google Cloud Platform (GCP) or Google BigQuery (GBQ) for data storage, processing, and analytics.
- Utilize Apache Spark or similar big data frameworks for efficient data processing.
- Develop robust API integrations for seamless data exchange between applications.
- Ensure data accuracy, consistency, and security across all systems.
- Monitor and troubleshoot data pipelines, identifying and resolving performance issues.
- Collaborate with data analysts, engineers, and business teams to align data solutions with business goals.
- Document data workflows, processes, and best practices for future reference.
Required Skills & Qualifications:
- Strong proficiency in Python for data engineering and workflow automation.
- Experience with workflow orchestration tools (e.g., Apache Airflow, Prefect, or similar).
- Hands-on experience with Google Cloud Platform (GCP) or Google BigQuery (GBQ).
- Expertise in big data processing frameworks, such as Apache Spark.
- Experience with API integrations (REST, SOAP, GraphQL) and handling structured/unstructured data.
- Strong problem-solving skills and ability to optimize data pipelines for performance.
- Experience working in an agile environment with CI/CD processes.
- Strong communication and collaboration skills.
Preferred Skills & Nice-to-Have:
- Experience with Ascend.io platform for data pipeline automation.
- Knowledge of SQL and NoSQL databases.
- Familiarity with Docker and Kubernetes for containerized workloads.
- Exposure to machine learning workflows is a plus.
Why Join Us?
- Opportunity to work on cutting-edge data engineering projects.
- Collaborative and dynamic work environment.
- Competitive compensation and benefits.
- Professional growth opportunities with exposure to the latest technologies.
How to Apply:
Interested candidates can apply by sending their resume to [your email/contact].
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