MSBI_ Sr. Data Integration Developer

 Profile: Senior Java Developer

🔷 Experience: 5+ Years

🔷 Location: Remote

🔷 Shift: Day Shift

(Only immediate joiners & candidates who have completed notice period)

✨ What we want:

✅ AWS cloud services (MANDATORY)

✅ Docker containerization (MANDATORY)

✅ Spring/Spring Boot framework

✅ RESTful API development

✅ Microservices architecture

✅ Database experience (SQL/NoSQL)

✅ Git version control & CI/CD

✅ Kubernetes orchestration

About the Role

We are hiring a Senior Backend Developer for our client, a US-based tech company, to take ownership of backend architecture, scalability, and infrastructure. This is a critical engineering role where you'll lead feature development and ensure high system performance as the company grows rapidly.

Key Responsibilities

• Build and maintain scalable backend systems using Python (Django, Flask, or FastAPI)
• Optimize and manage relational databases (PostgreSQL, MySQL)
• Design and implement asynchronous processing using Redis and RabbitMQ
• Architect and deploy containerized microservices with a focus on performance and scalability
• Provision and monitor infrastructure on AWS (EC2, RDS, S3)
• Diagnose system performance issues and implement robust solutions

Minimum Requirements

• 3+ years of backend development experience
• Proficient in Python and at least one framework (Django, Flask, or FastAPI)
• Strong knowledge of PostgreSQL or MySQL
• Experience with Redis and RabbitMQ
• Hands-on experience with AWS (EC2, RDS, S3)
• Strong understanding of data structures, algorithms, and backend system design

Good to Have

• Familiarity with JavaScript and frontend frameworks like React.js or Vue.js
• Experience with WebSockets for real-time features
• Exposure to VoIP/WebRTC/SIP/IP PBX technologies

Key Traits We Value

• Smart, logical, and curious problem-solvers
• Self-driven individuals who thrive in fast-paced environments
• Passion for learning and adapting to new technologies

What We Offer

• Competitive Compensation
• 100% remote work
• A collaborative, growth-focused environment
• Challenging projects with real impact

• Leads more than one projects end-to-end and collaborates across functions. Drives planning, estimation and execution.
• Manages stakeholder expectations and offers scalable, reliable, performant and easy to maintain solutions.
• Consistently takes well thought technical/design decisions.
• Develops expertise in more than one area and shares knowledge with others. Able to mentor/train people in areas which are new to them.
• Drives people to solve engineering challenges.
• Enjoys high respect of Tech and other cross functional teams.
• Demonstrates effective communication with project team, management and internal/external clients as necessary.
• Surfaces both technical and non-technical team challenges and helps resolve them.
• Champion for SDLC best practices and high-quality standards.
• Significantly contributes in hiring high performance candidates.

• Expert in JAVA, Kotlin, Reactive programming, Asynchronous programming and Dependency Injection. Experience with unit-tests and automation frameworks.
• Familiarity with any architectures like MV*(MVP/MVVM/MVI).
• Strong focus on high-quality mobile UI experiences.
• Operates independently with almost no oversight.
• Is able to apply domain expertise to think critically and make wise decisions for the team, taking into account tradeoffs and constraints.
• Communicates tech decisions through design docs and tech talks.
• Has delivered multiple projects with end-to-end engineering ownership.
• Keeps track of new technology/tools and embraces them as necessary
• 12+ years of experience in a product-driven organization.

Technologies we're working with

• MVP, JAVA and Kotlin, Realm, Firebase Real-time Database, RxJava,Kotlin Coroutines, Dagger and Retrofit.

1. Data Steward :

Data Steward will collaborate and work closely within the group software engineering and business division. Data Steward has overall accountability for the group's / Divisions overall data and reporting posture by responsibly managing data assets, data lineage, and data access, supporting sound data analysis. This role requires focus on data strategy, execution, and support for projects, programs, application enhancements, and production data fixes. Makes well-thought-out decisions on complex or ambiguous data issues and establishes the data stewardship and information management strategy and direction for the group. Effectively communicates to individuals at various levels of the technical and business communities. This individual will become part of the corporate Data Quality and Data management/entity resolution team supporting various systems across the board.

Primary Responsibilities:

• Responsible for data quality and data accuracy across all group/division delivery initiatives.
• Responsible for data analysis, data profiling, data modeling, and data mapping capabilities.
• Responsible for reviewing and governing data queries and DML.
• Accountable for the assessment, delivery, quality, accuracy, and tracking of any production data fixes.
• Accountable for the performance, quality, and alignment to requirements for all data query design and development.
• Responsible for defining standards and best practices for data analysis, modeling, and queries.
• Responsible for understanding end-to-end data flows and identifying data dependencies in support of delivery, release, and change management.
• Responsible for the development and maintenance of an enterprise data dictionary that is aligned to data assets and the business glossary for the group responsible for the definition and maintenance of the group's data landscape including overlays with the technology landscape, end-to-end data flow/transformations, and data lineage.
• Responsible for rationalizing the group's reporting posture through the definition and maintenance of a reporting strategy and roadmap.
• Partners with the data governance team to ensure data solutions adhere to the organization’s data principles and guidelines.
• Owns group's data assets including reports, data warehouse, etc.
• Understand customer business use cases and be able to translate them to technical specifications and vision on how to implement a solution.
• Accountable for defining the performance tuning needs for all group data assets and managing the implementation of those requirements within the context of group initiatives as well as steady-state production.
• Partners with others in test data management and masking strategies and the creation of a reusable test data repository.
• Responsible for solving data-related issues and communicating resolutions with other solution domains.
• Actively and consistently support all efforts to simplify and enhance the Clinical Trial Predication use cases.
• Apply knowledge in analytic and statistical algorithms to help customers explore methods to improve their business.
• Contribute toward analytical research projects through all stages including concept formulation, determination of appropriate statistical methodology, data manipulation, research evaluation, and final research report.
• Visualize and report data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders.
• Achieve defined project goals within customer deadlines; proactively communicate status and escalate issues as needed.

Additional Responsibilities:

• Strong understanding of the Software Development Life Cycle (SDLC) with Agile Methodologies
• Knowledge and understanding of industry-standard/best practices requirements gathering methodologies.
• Knowledge and understanding of Information Technology systems and software development.
• Experience with data modeling and test data management tools.
• Experience in the data integration project • Good problem solving & decision-making skills.
• Good communication skills within the team, site, and with the customer

Knowledge, Skills and Abilities

• Technical expertise in data architecture principles and design aspects of various DBMS and reporting concepts.
• Solid understanding of key DBMS platforms like SQL Server, Azure SQL
• Results-oriented, diligent, and works with a sense of urgency. Assertive, responsible for his/her own work (self-directed), have a strong affinity for defining work in deliverables, and be willing to commit to deadlines.
• Experience in MDM tools like MS DQ, SAS DM Studio, Tamr, Profisee, Reltio etc.
• Experience in Report and Dashboard development
• Statistical and Machine Learning models
• Python (sklearn, numpy, pandas, genism)
• Nice to Have:
• 1yr of ETL experience
• Natural Language Processing
• Neural networks and Deep learning
• xperience in keras,tensorflow,spacy, nltk, LightGBM python library

Interaction :  Frequently interacts with subordinate supervisors.

Education : Bachelor’s degree, preferably in Computer Science, B.E or other quantitative field related to the area of assignment. Professional certification related to the area of assignment may be required

Experience :  7 years of Pharmaceutical /Biotech/life sciences experience, 5 years of Clinical Trials experience and knowledge, Excellent Documentation, Communication, and Presentation Skills including PowerPoint