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What You’ll Do

• Build and scale backend services using Java & Spring Boot

• Work on API integrations (REST, SOAP), caching & rate limiting

• Contribute across the full SDLC – design, development, testing & deployment

• Solve problems around performance, scalability & reliability

What We’re Looking For

• Strong knowledge of Data Structures & Algorithms

• Experience with Java, Spring Boot, REST/SOAP

• Hands-on with system & solution design

• Database experience: MongoDB / PostgreSQL / MySQL / Oracle

• Good debugging skills & unit testing

• Familiarity with Git and AI coding assistants (Copilot, Claude, etc.)

The candidate should have extensive experience in designing and developing scalable data pipelines and real-time data processing solutions. As a key member of the team, the Senior Data Engineer will play a critical role in building end-to-end data workflows, supporting machine learning model deployment, and driving MLOps practices in a fast-paced, agile environment. Strong expertise in Apache Kafka, Apache Flink, AWS SageMaker, and Terraform is essential. Additional experience with infrastructure automation and CI/CD for ML models is a significant advantage.

Key Responsibilities

1. Design, develop, and maintain high-performance ETL and real-time data pipelines using Apache Kafka and Apache Flink.
2. Build scalable and automated MLOps pipelines for training, validation, and deployment of models using AWS SageMaker and associated services.
3. Implement and manage Infrastructure as Code (IaC) using Terraform to provision and manage AWS environments.
4. Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment workflows and ensure reliable production delivery.
5. Optimize data storage and retrieval strategies for large-scale structured and unstructured datasets.
6. Develop data transformation logic and integrate data from various internal and external sources into data lakes and warehouses.
7. Monitor, troubleshoot, and enhance performance of data systems in a cloud-native, fast-evolving production setup.
8. Ensure adherence to data governance, privacy, and security standards across all data handling activities.
9. Document data engineering solutions and workflows to facilitate cross-functional understanding and ongoing maintenance.

Job Description:
7+ years of experience as a Techno-Functional specialist supporting a finance organization with an emphasis on project management.

Must have 2-3 Project implementation and more than one support experience in Oracle EBS R12.

Expert level knowledge of Oracle Applications Framework, Oracle Workflow, Oracle Forms, Oracle Report, XML Report, PLSQL

Functional knowledge in financial module like, GL,AP, AR PO, Project is must Extensive use of oracle APIs and interfaces Experience in performance tuning of the code Experience in shell scripting.

Worked on Oracle Alert, AME, OAM ,DFF etc Good to have ADF experience Good to have ORDS experience Good to have exposure in cloud technology.

Responsibilities:
Act as a senior liaison between Business partners and IT communities Facilitate cross-functional teams through business process and application initiatives from requirements definition to prototyping, design, development, testing, training, and deployment.

Create technical designs to support business requirements.

Lead the development of technical solutions. Communicate project status and escalate issues to management. Develop and execute system test plans and scenarios.

Assist in preparing training materials for deployment of applications, modules, enhancements and bug fixes.

Assist in developing baseline datasets and reports to support testing of technical solutions.

Expereince : 2-4 yrs experience

• Experience in woocommerce customization
• Experience in theme and plugin customization
• Knowledge of Jquery & Javascript is an added advantage.
• Hands on experience with any E-commerce website will be an advantage

Looking Data Enginner for our OWn organization-

Notice Period- 15-30 days
CTC- upto 15 lpa

Preferred Technical Expertise 

1. Expertise in Python programming.
2. Proficient in Pandas/Numpy Libraries. 
3. Experience with Django framework and API Development.
4. Proficient in writing complex queries using SQL
5. Hands on experience with Apache Airflow.
6. Experience with source code versioning tools such as GIT, Bitbucket etc.

 Good to have Skills:

1. Create and maintain Optimal Data Pipeline Architecture
2. Experienced in handling large structured data.
3. Demonstrated ability in solutions covering data ingestion, data cleansing, ETL, Data mart creation and exposing data for consumers.
4. Experience with any cloud platform (GCP is a plus)
5. Experience with JQuery, HTML, Javascript, CSS is a plus.