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Software Engineer

Software Engineer

Prahlad Nagar, Ahmedabad

5 years

Role Overview Opportunities for innovation and learning new state of the art technologies To work in pure agile & scrum methodology Responsibilities Design and implement .NET related projects. Perform analyses and articulate solutions. Design underlying engineering for use in multiple product offerings supporting a large volume of end-users. Develop project plans with task breakdowns and estimates. Manage and improve existing solutions. Solve a variety of complex problems and figure out possible solutions, weighing the costs and benefits. What we’re Looking For: Bachelor's degree in computer science or Equivalent 5+ years’ related experience Passionate, smart, and articulate developer Strong C#, .Net and SQL skills Experience implementing: REST APIs, Able to demonstrate strong OOP skills Able to demonstrate strong understanding of SOLID principles, design patterns Understanding of working with Container platforms and Container orchestration systems. Experience working with AWS services such as Lambda, SQS, S3, API Gateway etc Able to work well individually and with a team Strong problem-solving skills Good work ethic, self-starter, and results-oriented Agile/Scrum experience Preferred Understanding use of AI, Copilot, Agents Understanding of Event Driven Architecture to create scalable components TDD (Test Driven Development) Knowledge of Python will be a plus

C#ASP.NETMicrosoft SQL ServersREST API Development+16

Sourced Job
Azure DevOps Engineer

Azure DevOps Engineer

Makarba, Ahmedabad

3 years

Role Overview: Build and maintain robust CI/CD pipelines, manage build and release workflows, automate deployments, and ensure reliable integration across environments. Key Responsibilities: Develop and maintain CI/CD pipelines in Azure DevOps. Automate build, test, and deployment processes for .NET Core and React applications. Manage Azure environments, resource groups, and infrastructure scripts. Configure monitoring, alerting, and log analytics dashboards. Support developers in troubleshooting build or deployment issues. Maintain artifact repositories, versioning, and environment consistency. Required Skills: Azure DevOps Pipelines, YAML scripting, Git branching strategies. Docker, Kubernetes, ARM/Bicep templates, Terraform. PowerShell and Bash scripting. Experience with code scanning tools (Snyk, SonarQube, Dependabot).

Azure DevOpsYAMLGit branching and mergingDocker+16

Sourced Job
Biomedical AI Methods Expert

Biomedical AI Methods Expert

Kachiguda, Hyderabad

4 years

Responsibilities: Work with a team of AI researchers, data scientists and SMEs with core domain expertise to develop and deliver focused, robust, performant AI algorithms and solutions to accelerate drug discovery. Stay informed about the latest AI methods, increase understanding of the problem domain, and ask detailed questions to identify potential areas for innovation in AI across the drug discovery pipeline. Promote awareness of advancements in AI methods for addressing key research questions within biomedical research. Fluently adopt Engineering and Product Development resources to ensure the adoption of AI solutions. Help position AI-aided drug discovery contributions to deliver and support progress of BR’s portfolio, enable new kinds of therapeutic discoveries, shorten cycle times, and increase efficiency. Collaboration & partnershi A respectful, team-player attitude is an absolute must. Regularly communicate, engage, align with AICS teams, broader data science community, and senior scientists. Initiate and lead key high-value internal collaborations across BR. Help design translatable metrics for AI models that will lead to tangible impact in collaboration with BR DAs and FAs. Collaborate cross-functionally to translate model outputs into actionable hypotheses and guide experimental design. Nice to have: Experience with applying ML to one or more functional areas of core drug discovery like target identification, computational chemistry, protein structure modelling and design or translational medicine is a plus.

Machine LearningDeep LearningPython BasicsTransfer Learning+16

Private Wealth Manager

Private Wealth Manager

Kurla, Mumbai

8 years

OverviewThis role focuses on managing and growing the investment portfolios of high net worth and ultra-high net worth clients, ensuring personalized wealth management solutions that align with their financial goals.ResponsibilitiesDevelop and maintain strong relationships with HNI and Ultra HNI clients to understand their investment needs and risk profiles.Manage portfolios using Portfolio Management Services (PMS) and Alternative Investment Funds (AIF) to optimize asset under management (AUM) growth.Provide tailored financial advice and wealth planning strategies to maximize client returns and satisfaction.RequirementsProven experience in private wealth management with a focus on HNI and Ultra HNI clientele.Strong knowledge of PMS, AIF products, and portfolio management techniques.Excellent communication and relationship management skills to engage sophisticated investors.Nice-to-HavesFamiliarity with regulatory frameworks governing wealth management and investment advisory.Ability to analyze market trends and provide timely investment insights.Experience in cross-selling financial products and services within wealth management.

Wealth ManagementPortfolio Management ProfessionalAlternative Investment Fund (AIF)High Net Worth Individual Servicing+16

Sourced Job
Data Analyst

Data Analyst

Kachiguda, Hyderabad

3 years

About the job TechnipFMC is committed to driving real change in the energy industry. Our ambition is to build a sustainable future through relentless innovation and global collaboration – and we want you to be part of it. You’ll be joining a culture that values curiosity, expertise, and ideas as well as equal opportunities, inclusion, and authenticity. Bring your unique energy to our team of more than 21,000 people worldwide, and discover a rewarding, fulfilling, and varied career that you can take in anywhere you want to go. Job Description Interface with Business Owner, Project Manager, Planning Manager, Resource Managers etc. Execution of complex data analytics projects. Data Modeling and Integration: Develop complex data models, establish relationships, and ensure data integrity. Oversee data integration from various sources. Advanced Analytics: Perform advanced data analysis using DAX (Data Analysis Expressions) and other analytical tools to derive insights and support decision-making. Collaboration: Work closely with stakeholders to gather requirements, define data needs, and ensure the delivery of high-quality BI solutions. Performance Optimization: Optimize solutions for performance, ensuring efficient data processing and report rendering. Data Security: Implement and maintain data security measures, ensuring compliance with data protection regulations. Demonstrated experience of leading complex projects with a team of varied experience levels. You Are Meant For This Job If Experience in working with unstructured data and data integration. Technical Skills: Proficiency in Power BI, DAX, SQL, and data modeling, exposure to data engineering. Experience with data integration tools and ETL processes. Hands-on experience with Snowflake Experience: 3-5 years of experience in business intelligence and data analytics, with a focus on Power BI. Soft Skills: Strong analytical and problem-solving skills, excellent communication abilities, and the capacity to lead and collaborate with global cross-functional teams. Skills Data Modelling Business Process Knowledg Data Mgmt Integration SQL Data Administration Data Analysis Digital Ethics Statistical and Mathematical Analysis Domain Knowledge Business Problem Analysis Digital Literacy Data Architecture Data Engineering Data Preparation Data Platform - Snowflake Data Visualization Interpersonal skills Industry and Domain Knowledge Computer Programming Test Driven Development

Power BIData Analysis Expressions (DAX)SQLData Modeling+16

Sourced Job
Data Engineer

Data Engineer

Kachiguda, Hyderabad

3 years

Responsibilities Of The Role: Understand the business requirements and convert into technical design of data pipelines and data models Write code to ingest, transform and harmonize raw data into usable refined models Analyze multiple data sets associated with the use cases in-scope in order to effectively design and develop the most optimal data models and transformation Craft integrated systems, implementing ELT/ ETL jobs to fulfil business deliverables. Performing sophisticated data operations such as data orchestration, transformation, and visualization with large datasets. Coordinate with data asset managers, architects, and development team to ensure that the solution is fit for use and are meeting vital architectural requirements. Demonstrate standard coding practices to ensure delivery excellence and reusability What We Offer: A wide range of challenging manufacturing/engineering assignments in one of the most influential companies in the world. We don’t just offer a job; we offer a career with varying assignments and lots of development opportunities An opportunity for you to develop and deliver state of the art technologies supported by multi-million capital investments. Travel opportunities to the project locations to see your design come to life Continuous coaching– you will work with passionate people and receive both formal training as well as day-to-day mentoring from your coach and manager Dynamic and respectful international work environment– employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balance. A competitive compensation package, in line with your qualifications and experience Role Requirements: At least 3 years of experience in Data Engineering Hands-on experience in building data models, data pipelines, data ingestion, harmonization along with data governance. Hands-on experience in scripting language like Python, R or Scala Backend Development expertise on SQL Database, SQL Data Warehouse or any data warehousing solutions in cloud Hands-on experience of reporting tools like Power BI or Tableau Knowledge in DevOps Tools and CICD tools (e.g. Azure DevOps and Github) Knowledge in cloud technologies (Azure Cloud) – at least 2 years inclusive of software engineering experience. Cloud Native application development using Angular and .Net. Knowledge in Agile or Scrum methodologies with proven track record of successful projects Graduate of Engineering or IT related course

Data PipelineData ModelingData IngestionData Transformation+16