associate principal engineer, quality engineering (performance engineer) Jobs in Mangaluru

associate principal engineer, quality engineering (performance engineer)

lean engineer

production engineer

quality engineer

senior quality assurance automation engineer Jobs in Mangaluru

senior quality assurance automation engineer

associate principal engineer quality engineering performance engineer

Saviynt

<div>
 
 We are seeking a talented and experienced Performance Engineer to lead the design and implementation of high performance solutions across our systems, applications, and infrastructure. As a Performance Engineer, you will be
 
 
 responsible for developing performance strategies, designing scalable architectures, and ensuring optimal performance across all platforms along with leveraging AI platforms. You will collaborate with cross-functional.
 
 
 
 
 
 The candidate must have extensive experience in performance engineering, with a strong background in Performance Engineering for both backend systems and distributed environments along with hands on using AI to develop solutions and
 
 
 tools. You will lead the creation of performance test strategies, identify bottlenecks, and provide architectural solutions to meet performance objectives. The role requires a deep understanding of performance testing,
 
 
 
 
 
 
 WHAT YOU WILL BE DOING
 
 <ul>
 <li>
 Architect and Design performance-optimized solutions for complex systems, ensuring scalability, reliability, and cost-effectiveness
 </li>
 <li>
 Define and implement performance strategies across the organization, including testing, tuning, and monitoring plans
 </li>
 <li>
 Analyze system performance from end to end, identifying performance bottlenecks and providing architectural recommendations for optimization
 </li>
 <li>
 Lead performance engineering efforts, ensuring robust and scalable designs through every phase of the development lifecycle
 </li>
 <li>
 Leverage AI platforms to enhance and solution for performance activites
 </li>
 <li>
 Collaborate with development, operations, and business teams to ensure performance standards are met throughout the infrastructure
 </li>
 <li>
 Ensure the effective use of performance testing tools and monitoring solutions, including designing load models,test cases, and reporting frameworks
 </li>
 <li>
 Perform architectural reviews of systems with a focus on identifying and eliminating performance bottlenecks
 </li>
 <li>
 Guide the team in capacity planning and scalability strategies for current and future growth
 </li>
 <li>
 Oversee the execution of benchmarking, load testing, stress testing, and endurance testing to validate performance targets
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 <ul>
 <li>
 Performance Testing Tools: Expertise in JMeter and performance testing frameworks (e.g., Gatling,LoadRunner)
 </li>
 <li>
 Programming/Scripting: Proficient in Java, JavaScript, and shell/bash for performance automation
 </li>
 <li>
 Monitoring &amp; Profiling: Experience with Heap Dumps, GC Logs, and tools like Datadog, AppDynamics,Dynatrace, Grafana
 </li>
 <li>
 Cloud: Familiar with AWS, GCP, or Azure for cloud performance optimizations
 </li>
 <li>
 Containers &amp; Orchestration: Knowledge of Docker and Kubernetes for containerized environments
 </li>
 <li>
 CI/CD Automation: Experience with GitLab, GitHub, Jenkins for integrating performance tests in CI/CD pipelines
 </li>
 <li>
 AI : Any AI tools and relevant prompt engineering to leverage it for solutions and tools
 
 </li>
 </ul>
 
 
 
 
 WHAT YOU BRING
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s Degree in Computer Science, Engineering, or related fields
 </li>
 <li>
 12+ years of experience in performance engineering, with at least 4 to 6 years in a Performance Engineer or similar role
 </li>
 <li>
 
 Architectural Expertise:
 
 Deep understanding of distributed systems, microservices architecture, and cloud-native environments (AWS, GCP, Azure)
 </li>
 <li>
 
 Performance Engineering Tools
 
 : Expertise in performance tools such as JMeter, LoadRunner, Gatling, Dynatrace, AppDynamics, Datadog, Grafana, Prometheus, and custom-built tools for real-time monitoring and testing
 </li>
 <li>
 
 Programming and Scripting:
 
 Proficiency in Java, JavaScript, Python, or other programming languages to implement performance optimizations and automate testing and monitoring workflows
 </li>
 <li>
 
 AI Tools :
 
 Experience in AI to develop solutions and tools to complement the performance activities
 </li>
 <li>
 
 Cloud and Containerization:
 
 Experience with cloud platforms (AWS, GCP, Azure) and containerization/orchestration technologies like Docker and Kubernetes. Expertise in cloud-native architectures and edge service optimizations
 </li>
 <li>
 
 Deep Analytical Skills:
 
 Ability to analyze system performance metrics (e.g., CPU usage, memory, network I/O,disk I/O, garbage collection) and provide architectural solutions to improve performance
 </li>
 <li>
 
 Capacity Planning:
 
 Experience with capacity management and planning to ensure that systems can scale under increasing user demand without degrading performance
 </li>
 <li>
 
 Collaboration and Leadership:
 
 Strong collaboration skills to work with developers, product managers, DevOps, and business teams. Ability to lead performance discussions and architectural improvements
 
 </li>
 </ul>
 
 
 
 
</div>

Associate Principal Engineer, Quality Engineering (Performance Engineer)

Allucent

<div>
 
 The Senior / Principal Data Engineer will design, develop, and maintain scalable data platform and analytics solutions across data lakes and operational databases. This role requires hands-on expertise in Azure Databricks, Azure SQL, Python/PySpark, Notebooks, with a strong understanding of data modeling, ETL/ELT best practices, and CI/CD automation in Azure DevOps. The ideal candidate will have a proven record of building robust, efficient, and secure data pipelines that enable analytics, reporting, and AI/ML solutions, preferably in life sciences, clinical research, or healthcare domains.&nbsp;
 
 
 
 
 Requirements
 
 
 
 
 
 Data Architecture &amp; Engineering&nbsp;
 
 <ul>
 <li>
 Design and implement end-to-end data pipelines using Azure Databricks, Azure Data Factory, and ADLS Gen2.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Build scalable and performant data models for data lakes (Medallion architecture), data warehouses, and operational systems.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Develop ELT/ETL frameworks for ingestion from APIs, relational sources, flat files, and third-party systems (e.g., Dynamics 365, Veeva, EDC).&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Optimize data transformations, partitioning, and delta lake performance for analytics workloads.&nbsp;
 </li>
 </ul>
 
 Data Integration &amp; Automation&nbsp;&nbsp;
 
 <ul>
 <li>
 Leverage Python and PySpark for data ingestion, cleansing, enrichment, and advanced transformations.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Implement CI/CD pipelines for data workflows using Azure DevOps and Git, including automated testing, deployment, and monitoring.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Develop and integrate RESTful APIs for cross-system data exchange and automation.&nbsp;
 </li>
 </ul>
 
 Analytics Enablement&nbsp;
 
 <ul>
 <li>
 Collaborate with the BI team to ensure clean, high-quality, and accessible data for the Power BI platform.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Support semantic modeling, metric layer design, and data governance best practices.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Enable advanced analytics by provisioning data for ML/AI initiatives and predictive insights.&nbsp;
 </li>
 </ul>
 
 Cross Functional Collaboration&nbsp;
 
 <ul>
 <li>
 Collaborate with product/system owners, analysts, and business stakeholders to translate analytical requirements into technical data solutions.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Drive best practices in Agile development, version control, and DevOps workflows.&nbsp;
 </li>
 </ul>
 
 &nbsp;
 
 
 Education Requirements and Qualifications&nbsp;
 
 
 
 Qualifications&nbsp;&nbsp;
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred).&nbsp;&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Minimum 5-8 years of relevant experience building and maintaining data solutions (data lakes, data warehouses, operational databases).&nbsp;&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Expert-level proficiency in Azure Databricks, PySpark, SQL, and Azure DevOps.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Proven experience with Azure Data Factory, ADLS Gen2, and Azure SQL Server.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Working knowledge of CI/CD automation, version control (Git), and infrastructure as code (ARM or Terraform).&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Experience with Power BI or similar analytics platforms (Tableau, Looker) required; experience with Snowflake, Redshift, or Synapse Analytics is a plus.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Strong analytical, debugging, and performance-tuning skills.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Experience in life sciences or healthcare industries is a strong plus.&nbsp;
 </li>
 </ul>
 
 Skills&nbsp;
 
 
 Core expertise: Expert-level in Databricks, PySpark, SQL, and Azure DevOps&nbsp;
 
 
 Data engineering: Data modeling, Delta Lake optimization, ETL/ELT design, distributed processing.&nbsp;
 
 
 Integration &amp; Automation: Azure Data Factory, REST APIs, CI/CD pipelines, Git branching strategies.&nbsp;
 
 
 Analytics &amp; BI: Power BI (Tableau), semantic layer design, DAX/SQL tuning.&nbsp;
 
 
 Cloud &amp; DevOps: Azure ecosystem (ADF, ADLS, Azure SQL, Synapse), Infrastructure as Code&nbsp;
 
 
 Data Governance &amp; Quality: Metadata management, data validation frameworks, logging and monitoring.&nbsp;
 
 
 Soft skills: Good communication, mentoring, Agile teamwork, analytical thinking, collaboration.&nbsp;
 
 
 &nbsp;
 
</div>

Data Developer

Mott MacDonald

<div>
 
 Mott MacDonald
 
 is a global engineering, management, and development consultancy committed to delivering impactful work that shapes the future.
 
 
 We are a team of over 20,000 experts working across the world in more than 50 countries.
 
 
 We are proud to be part of an ever-changing global industry, delivering transformative work that&rsquo;s defining our future. It&rsquo;s our people who power that performance. As an employee-owned business, we invest in creating a space for everyone to feel safe and valued and empowered with the right tools and support.
 
 
 Whether you want to pursue excellence in your specialism or broaden your experience with flexible roles across our business, you&rsquo;ll be connected to a community of global experts championing you to be your best. Join us and shape your story with Mott MacDonald, where everyone has the opportunity to be
 
 brilliant
 
 .
 
 
 
 Job description:-
 
 
 
 <ul>
 <li>
 Developing fire safety strategies: notably for all sectors of the buildings and infrastructure.
 </li>
 <li>
 Reviewing designs against current codes of practice, analysing and designing solutions including bespoke performance-based fire engineering solutions.
 </li>
 <li>
 Undertaking formal peer reviews of fire engineering work.
 </li>
 <li>
 Working alongside other internal/external technical disciplines to provide advice best suited to the project and the Client.
 </li>
 <li>
 Ensuring work is delivered to programme and budget.
 </li>
 <li>
 Ensuring work is delivered to the necessary level of quality.
 
 
 </li>
 </ul>
 You will report to the Principal Engineer (GDI Fire &amp; Life Safety lead) and be based in our Bangalore office.
 
 
 
 Candidate specification:-
 
 
 
 <ul>
 <li>
 Have a degree in a relevant engineering/science discipline.
 </li>
 <li>
 Should have 5+ of fire/smoke modelling tools such as computational fluid dynamics (CFD), zone models and evacuation models an advantage.
 </li>
 <li>
 Must have experience of developing fire strategies to UK and international codes of practice.
 </li>
 <li>
 Have working knowledge of and experience of performance-based fire engineering codes of practice in the UK and internationally (such as BS 7974, NFPA 101).
 </li>
 <li>
 Experience of working with international codes such as British Standards, NFPA, IBC, etc.
 </li>
 <li>
 Ability to communicate effectively in English with clients, colleagues and other members of the project team.
 </li>
 <li>
 Must have excellent skills for report writing in English.
 
 
 </li>
 </ul>
 
 We Can Offer (subject To Company&rsquo;s Policy)
 
 
 
 <ul>
 <li>
 Agile and safe working environment
 </li>
 <li>
 Competitive annual leave and sick leaves
 </li>
 <li>
 Group incentive scheme
 </li>
 <li>
 Group term life insurance, Workmen&rsquo;s compensation and Group medical insurance coverage
 </li>
 <li>
 Short and Long-term Global employment opportunities
 </li>
 <li>
 Global collaboration and knowledge sharing
 </li>
 <li>
 Digital Innovation and Transformation
 
 
 </li>
 </ul>
 
 Equality, diversity and inclusion
 
 
 
 We put equality, diversity and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute.
 
 
 
 Agile working
 
 
 
 At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team and personal commitments. We embrace agility, flexibility and trust.
 
 
 Location(s):
 
 
 Bengaluru, KA, IN Noida, UP, IN
 
 
 
 Contract Type:
 
 Permanent
 
 
 
 Work Pattern:
 
 Full Time
 
 
 Market: Buildings
 
 
 
 Discipline:
 
 Building services
 
 
 
 Job Ref:
 
 10475
 
 
 
 Recruiter Contact:
 
 Deiveegan
</div>

Mechanical Engineer (FLS)

Capgemini

<div>
 
 Job Description
 
 
 
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.
 
 
 <ul>
 <li>
 Applies scientific methods to analyse and solve software engineering problems.
 </li>
 <li>
 He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.
 </li>
 <li>
 His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.
 </li>
 <li>
 The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.
 </li>
 <li>
 The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 </li>
 </ul>
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 
 Job Description - Grade Specific
 
 
 
 Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
</div>

Software Engineer

<div>
 At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we&rsquo;ll give you what you need to make it happen. It won&rsquo;t always be easy, growing takes grit. But at ABB, you&rsquo;ll never run alone. Run what runs the world.
 
 
 This Position reports to:
 
 
 Principal Software Engineer
 
 
 
 
 
 
 
 What We Believe In
 
 
 
 Join us at ABB as we work together with a global team to transform society and industry, promoting a more productive and sustainable future.
 
 
 Our mission at ABB is to promote diversity and inclusion on every front, encompassing gender, sexual orientation, abilities, ethnicity, and generational perspectives. Together, we are embarking on a journey where each one of us, individually and collectively, welcomes and celebrates individual differences.
 
 
 ABB is a prominent global technology firm that facilitates the evolution of society and industry towards a more efficient, sustainable future. ABB has a rich history that spans over 130 years, contributing significantly through the four Industrial Revolutions and continues to shape the path of industry 4.0. By incorporating digital innovations within its electrification, robotics, automation, and motion offerings, ABB transforms technology to enhance performance capabilities significantly.
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 This is a technical Leadership role in Cloud and AI platform, reporting to the Digital Solution Engineering Manager in ABB Ability&trade; Genix - industrial analytics and artificial intelligence Platform in business area Process Automation located in Bangalore. You will be leading the Product delivery team including Platform Services at Ability Innovation Center (AIC), home to the largest technology and engineering pool in ABB globally and is a part of ABB Global Industries and Services Private Limited, a subsidiary of ABB. It is based in Bangalore, the silicon-valley of India. Its unique infrastructure places research, development, engineering, and service teams under one roof, increasing collaboration and reducing time to market, with no compromise on quality.
 
 
 We are looking for a highly proficient Software Engineer to become part of our team, working on the development and improvement of ABB Ability&trade; Genix, particularly in areas like deployment automation, packaging, and essential technical skills. As a Software Engineer, you'll have the chance to connect with an accomplished team of engineers to advance technology initiatives, improve Agile Delivery, and bolster overall team effectiveness.
 
 
 Are you interested in a workplace that combines the aspects of technology, data, domain, and Industrial AI to build innovative analytics solutions for process automation customers? If you prioritize creativity and effective solutions, this could be the right team for you. Become part of ABB and take advantage of our varied global network as you collaborate with and guide our esteemed teams. Most importantly, push yourself each day to reach new heights. Let&rsquo;s write the future together.
 
 
 The work model for the role is: Hybrid
 
 
 
 You will be mainly accountable for:
 
 
 
 <ul>
 <li>
 Build LLM/agent workflows using LangChain, LangGraph, or similar frameworks; develop and refine prompts, conversational flows, and integrations for IIoT use cases; enhance model understanding of industry terminology and real-time data; collaborate with engineering teams and create supporting documentation.
 </li>
 <li>
 Oversee the creation of features associated with LLM frameworks and agent-based workflows; maintain effective communication with interdisciplinary teams; share regular updates on project progress; encourage a culture of collaboration; eliminate technical obstacles; and liaise with external partners.
 </li>
 <li>
 Promote continuous improvement within the team; identify opportunities to optimize Scrum processes; and provide coaching or training on Scrum practices.
 </li>
 <li>
 Align product, engineering, and stakeholder efforts to ensure cohesive delivery, smooth collaboration, and consistent execution across IIoT and AI-driven initiatives.
 
 
 </li>
 </ul>
 
 Qualifications for the role:
 
 
 
 <ul>
 <li>
 Hold a Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related technical field, with 3+ years of experience in NLP, machine learning, and chatbot development.
 </li>
 <li>
 Exhibit advanced knowledge of Python, particularly in application development with Flask or FastAPI, and showcase experience in rolling out production-ready systems on Kubernetes.
 </li>
 <li>
 Possess familiarity with IIoT concepts, protocols, and systems, along with the ability to design and implement scalable, secure web and REST API applications.
 </li>
 <li>
 Demonstrate proficiency in machine learning frameworks and programming languages, such as Python, TensorFlow, and PyTorch, along with experience in microservices architecture and asynchronous design methods.
 </li>
 <li>
 Possess practical knowledge of Azure cloud services, such as App Service, Cosmos DB, AKS, Cognitive Datalake, and Azure SQL Server.
 </li>
 <li>
 Be skilled in working with CI/CD pipelines for automated build, test, and deployment processes, ensuring scalable and maintainable software delivery.
 </li>
 <li>
 Exhibit effective communication, documentation, mentoring, and collaboration skills to assist in team development and knowledge exchange.
 
 
 
 </li>
 </ul>
 
 More About Us
 
 
 ABB&rsquo;s Digital business area enables customers to operate some of the world&rsquo;s largest and most complex industrial infrastructures, helping them outrun &ndash; leaner and cleaner.
 
 
 Become a part of our innovative team and advance your career by playing a role in creating impactful Industrial AI and Cloud applications and services that prioritize care.
 
 
 We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.
 
 
 
 Fraud Warning:
 
 Any genuine offer from ABB will always be preceded by a formal application and interview process.
 
 
 We never ask for money from job applicants.
 
 
 For current open positions you can visit our career website https://global.abb/group/en/careers and apply.
 
 
 Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.
</div>

Morgan Stanley

<div>
 Data Engineer Python - Associate- Software Engineering
 
 
 We&rsquo;re seeking someone to join our Institutional Securities Technology team as a Data Engineer Python, in Prime Brokerage AND Institutional Equity . The Prime Brokerage Technology team works very closely with the business to provide cutting-edge technology, expertise and products to the business. MSPB Client Reporting Technology is currently working on modernizing client reporting platform. The work provides high visibility and opportunities to learn the business. To this end, we are in the process of recruiting a highly motivated and talented data engineer developer. Responsibilities include requirements analysis, implementing quick reporting solutions with on-going renovation reporting platform applications, validation of data, user &amp; job support. We expect the candidate to have an interest in the financial business. This is a great opportunity for learning about a high growth, industry leading business, while fully utilizing your database and reporting technology programming skills.
 
 
 In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.
 
 
 This is Associate position that develops and maintains software solutions that support business needs.
 
 
 Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
 
 
 
 What You&rsquo;ll Do In The Role
 
 
 
 <ul>
 <li>
 Working with business users to understand requirements, analyze them in detail and write clear specs and convert them into technical design
 </li>
 <li>
 Implementing data and reporting solutions
 </li>
 <li>
 Enhancing existing solutions to meet new requirements
 </li>
 <li>
 Addressing ad-hoc requests by leveraging existing tools and infrastructure or implementing
 </li>
 <li>
 Investigate, resolve and provide feed-back on data-quality issues
 </li>
 <li>
 Providing L3 production support
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring To The Role
 
 
 
 <ul>
 <li>
 Experience in development of reporting systems
 </li>
 <li>
 Knowledge in one or all of these
 </li>
 <li>
 Relational Databases (Sybase, DB2, Snowflake) (Mandatory)
 </li>
 <li>
 PL/SQL and Stored Procedures (Mandatory)
 </li>
 <li>
 Python (Mandatory)
 </li>
 <li>
 Java (Optional)
 </li>
 <li>
 Analytical, debugging and problem-solving skills
 </li>
 <li>
 Team player; highly motivated; excellent communication skills
 </li>
 <li>
 Years of experience 3-5 years
 
 
 </li>
 </ul>
 
 What You Can Expect From Morgan Stanley
 
 
 
 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
 
 
 To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
 
 
 Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
</div>

Data Engineer Python- Associate- Software Engineer

Arcadis

<div>
 Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.
 
 
 We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world&rsquo;s most complex challenges and deliver more impact together.
 
 
 
 Qualification &amp; Experience:
 
 
 
 <ul>
 <li>
 Minimum of 8 years of experience as a Data Scientist/Engineer with demonstrated expertise in data engineering and cloud computing technologies.
 </li>
 <li>
 Technical Responsibilities &ndash;
 </li>
 <ul>
 <li>
 Excellent proficiency in Python, with a strong focus on developing advanced skills.
 </li>
 <li>
 Extensive exposure to NLP and image processing concepts.
 </li>
 <li>
 Proficient in version control systems like Git.
 </li>
 <li>
 In-depth understanding of Azure deployments.
 </li>
 <li>
 Expertise in OCR, ML model training, and transfer learning.
 </li>
 <li>
 Experience working with unstructured data formats such as PDFs, DOCX, and images. O
 </li>
 <li>
 Strong familiarity with data science best practices and the ML lifecycle.
 </li>
 <li>
 Strong experience with data pipeline development, ETL processes, and data engineering tools such as Apache Airflow, PySpark, or Databricks.
 </li>
 <li>
 Familiarity with cloud computing platforms like Azure, AWS, or GCP, including services like Azure Data Factory, S3, Lambda, and BigQuery.
 </li>
 </ul>
 <li>
 Tool Exposure: Advanced understanding and hands-on experience with Git, Azure, Python, R programming and data engineering tools such as Snowflake, Databricks, or PySpark.
 </li>
 <li>
 Data mining, cleaning and engineering: Leading the identification and merging of relevant data sources, ensuring data quality, and resolving data inconsistencies.
 </li>
 <li>
 Cloud Solutions Architecture: Designing and deploying scalable data engineering workflows on cloud platforms such as Azure, AWS, or GCP.
 </li>
 <li>
 Data Analysis: Executing complex analyses against business requirements using appropriate tools and technologies.
 </li>
 <li>
 Software Development: Leading the development of reusable, version-controlled code under minimal supervision.
 </li>
 <li>
 Big Data Processing: Developing solutions to handle large-scale data processing using tools like Hadoop, Spark, or Databricks.
 
 
 </li>
 </ul>
 
 Principal Duties &amp; Key Responsibilities:
 
 
 
 <ul>
 <li>
 Leading data extraction from multiple sources, including PDFs, images, databases, and APIs.
 </li>
 <li>
 Driving optical character recognition (OCR) processes to digitize data from images.
 </li>
 <li>
 Applying advanced natural language processing (NLP) techniques to understand complex data.
 </li>
 <li>
 Developing and implementing highly accurate statistical models and data engineering pipelines to support critical business decisions and continuously monitor their performance.
 </li>
 <li>
 Designing and managing scalable cloud-based data architectures using Azure, AWS, or GCP services.
 </li>
 <li>
 Collaborating closely with business domain experts to identify and drive key business value drivers.
 </li>
 <li>
 Documenting model design choices, algorithm selection processes, and dependencies.
 </li>
 <li>
 Effectively collaborating in cross-functional teams within the CoE and across the organization.
 </li>
 <li>
 Proactively seeking opportunities to contribute beyond assigned tasks.
 
 
 </li>
 </ul>
 
 Required Competencies:
 
 
 
 <ul>
 <li>
 Exceptional communication and interpersonal skills.
 </li>
 <li>
 Proficiency in Microsoft Office 365 applications.
 </li>
 <li>
 Ability to work independently, demonstrate initiative, and provide strategic guidance.
 </li>
 <li>
 Strong networking, communication, and people skills.
 </li>
 <li>
 Outstanding organizational skills with the ability to work independently and as part of a team.
 </li>
 <li>
 Excellent technical writing skills.
 </li>
 <li>
 Effective problem-solving abilities.
 </li>
 <li>
 Flexibility and adaptability to work flexible hours as required.
 
 
 </li>
 </ul>
 
 Key competencies / Values:
 
 
 
 <ul>
 <li>
 Client Focus: Tailoring skills and understanding client needs to deliver exceptional results.
 </li>
 <li>
 Excellence: Striving for excellence defined by clients, delivering high-quality work.
 </li>
 <li>
 Trust: Building and retaining trust with clients, colleagues, and partners.
 </li>
 <li>
 Teamwork: Collaborating effectively to achieve collective success.
 </li>
 <li>
 Responsibility: Taking ownership of performance and safety, ensuring accountability.
 </li>
 <li>
 People: Creating an inclusive environment that fosters individual growth and development.
 
 
 </li>
 </ul>
 Why Arcadis?
 
 
 We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It&rsquo;s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.
 
 
 You&rsquo;ll do meaningful work, and no matter what role, you&rsquo;ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you.
 
 
 Together, we can create a lasting legacy.
 
 
 Join Arcadis. Create a Legacy.
 
 
 Our Commitment to Equality, Diversity, Inclusion &amp; Belonging
 
 
 We want you to be able to bring your best self to work every day which is why equality and inclusion is at the forefront of all our activities. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity employer; women, minorities, and people with disabilities are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, colour, religion, sex, age, disability, marital status, sexual orientation, and gender identity.
 
 
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Explore 434+ Associate principal engineer quality engineering performance engineer in Mangaluru this January. Find roles across top companies and apply now to boost your career.

434 associate principal engineer quality engineering performance engineer jobs IN Mangaluru

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