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Weir Minerals

<div>
 
 Mineral Processing Engineer - Trainee
 
 
 
 
 Weir Minerals
 
 
 
 
 Location - Bengaluru
 
 
 
 
 Onsite
 
 
 
 Are you ready to launch your engineering career in the dynamic world of mineral processing? Join our team as a
 
 Trainee Engineer
 
 , where you'll play a key role in delivering innovative technical solutions to optimize our customers&rsquo; mill circuits and processes.
 
 
 In this hands-on role, you&rsquo;ll collaborate closely with cross-functional teams&mdash;including production, engineering, project management, and procurement&mdash;to ensure we exceed customer expectations. You&rsquo;ll gain valuable experience assessing real-world operations, solving complex challenges, and contributing to high-impact projects from day one.
 
 
 
 Why choose Weir:
 
 
 
 
 Be part of a global organization dedicated to building a better future:
 
 At Weir, the growing world depends on us. It depends on us constantly reinventing, quickly adapting and continually finding better, faster, more sustainable ways to access the resources it needs to thrive. And it depends on each of us doing the best work of our lives. It&rsquo;s a big challenge &ndash; but it is exciting.
 
 
 
 An opportunity to grow your own way:
 
 Everything moves fast in the dynamic world of Weir. This creates opportunities for us to take on new challenges, explore new areas, learn, progress and excel. Best of all, there is no set path that our people must take. Instead, everyone is given the support and freedom to tailor-make their own career and do the best work of their lives.
 
 
 
 Feel empowered to be yourself and belong
 
 : Weir is a welcoming, inclusive place, where each individual&rsquo;s contribution is recognized and all employees are encouraged to innovate, collaborate and be themselves. We continually focus on people and their wellbeing. We believe in fairness and choose to be honest, transparent and authentic in everything we do.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Customer Support: Provide process and technical assistance to customers with a primary focus on Weir&rsquo;s cyclone product line. Collaborate effectively with both internal and external sales teams, as well as engaging directly with customers.
 </li>
 <li>
 Provide Technical Solutions: Use internal software tools to size and select hydro cyclones. Conduct field visits as needed to gather data, measure, sample customer processes, and compile information to formulate and deliver hydro cyclone solutions to customers.
 </li>
 <li>
 Cross-departmental Support: Provide technical support to internal teams such as Engineering, Sales, and Marketing, and assist other designers and engineers by providing guidance and feedback
 </li>
 <li>
 Maintain Relative Documentation: Prepare customer proposals, reports and presentations related to cyclones.
 </li>
 <li>
 Safety First: Demonstrate 100% commitment to our zero harm behaviors in support of our drive towards developing a world class safety culture.
 
 
 </li>
 </ul>
 
 Job Knowledge/Education and Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor / Master&rsquo;s degree in Mineral Processing
 </li>
 <li>
 1-2 years of mineral processing experience
 </li>
 <li>
 Exceptional oral and written communication skills
 
 
 </li>
 </ul>
 Founded in 1871, Weir is a world leading engineering business with a purpose to make mining operations smarter, more efficient and sustainable. Thanks to Weir&rsquo;s technology, our customers can produce essential metals and minerals using less energy, water and waste at lower cost. With the increasing need for metals and minerals for climate change solutions, Weir colleagues are playing their part in powering a low carbon future. We are a global family of 11,000 uniquely talented people in over 60 counties, inspiring each other to do the best work of our lives.
 
 
 For additional information about what it is like to work at Weir, please visit our Career Page and LinkedIn Life Page.
 
 
 
 Weir is committed to an inclusive and diverse workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, veteran status, disability, age, or any other legally protected status.
 
 
 
 #minerals
 
 
 #Bengaluru
 
 
</div>

Engineer - Trainee

Citi

<div>
 The Spec Analytics Analyst is a trainee professional role. Requires a good knowledge of the range of processes, procedures and systems to be used in carrying out assigned tasks and a basic understanding of the underlying concepts and principles upon which the job is based. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Makes evaluative judgements based on the analysis of factual information. They are expected to resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Must be able to exchange information in a concise way as well as be sensitive to audience diversity. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own job.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
 </li>
 <li>
 Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
 </li>
 <li>
 Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
 </li>
 <li>
 Incumbents in this role may often be referred to as Data Scientists
 </li>
 <li>
 Specialization in marketing, risk, digital and AML fields possible
 </li>
 <li>
 Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 1-6 years of related experience into Data Science preferred
 </li>
 <li>
 Have the ability to retrieve and manipulation data
 </li>
 <li>
 Working experience in a quantitative field
 </li>
 <li>
 Possess analytic ability and problem solving skills
 </li>
 <li>
 Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelors/University degree or equivalent experience
 
 
 </li>
 </ul>
 This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
 
 
 ------------------------------------------------------
 
 
 
 Job Family Group:
 
 
 
 Decision Management
 
 
 ------------------------------------------------------
 
 
 
 Job Family:
 
 
 
 Specialized Analytics (Data Science/Computational Statistics)
 
 
 ------------------------------------------------------
 
 
 
 Time Type:
 
 
 
 Full time
 
 
 ------------------------------------------------------
 
 
 
 Most Relevant Skills
 
 
 
 Please see the requirements listed above.
 
 
 ------------------------------------------------------
 
 
 
 Other Relevant Skills
 
 
 
 For complementary skills, please see above and/or contact the recruiter.
 
 
 ------------------------------------------------------
 
 
 
 Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
 
 
 
 
 If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review
 
 
 Accessibility at Citi.
 
 
 
 
 View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.
 
</div>

Data Scientist

Tata Technologies

<div>
 
 
 Job Title: Locomotive Safety Engineer
 
 
 
 
 Exp: 3 to 7 Years
 
 
 
 
 Notice Period: Immediate to start
 
 
 
 
 Location: Europe/India
 
 
 
 
 Department: Engineering / Safety &amp; Compliance
 
 
 
 
 
 
 
 Note: Immediate Joiners are considered
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are seeking a highly skilled
 
 Locomotive Safety Engineer
 
 to support the development and implementation of safety strategies for locomotive systems. This role involves leading safety planning, conducting hazard and risk analyses, developing safety concepts, and preparing comprehensive safety cases in compliance with relevant standards and regulations EN 50126/8/9, EN61709, EN61025 and EN12100
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead and support
 
 system safety planning
 
 activities for locomotive projects.
 </li>
 <li>
 Develop and maintain
 
 safety concepts
 
 and
 
 safety requirements
 
 throughout the system lifecycle.
 </li>
 <li>
 Conduct
 
 hazard identification (HAZID)
 
 ,
 
 risk assessments
 
 , and
 
 failure mode and effects analyses (FMEA/FMECA)
 
 .
 </li>
 <li>
 Perform
 
 safety analyses
 
 such as Fault Tree Analysis (FTA), Event Tree Analysis (ETA), and Common Cause Analysis (CCA).
 </li>
 <li>
 Prepare and maintain
 
 safety cases
 
 and associated documentation to demonstrate compliance with applicable safety standards.
 </li>
 <li>
 Collaborate with cross-functional teams including design, systems, validation, and operations to ensure safety requirements are met.
 </li>
 <li>
 Support
 
 audits and assessments
 
 by regulatory bodies and certification authorities.
 </li>
 <li>
 Ensure traceability of safety requirements and verification/validation evidence.
 </li>
 <li>
 Stay updated with evolving safety standards and best practices in the rail industry.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Electrical, Systems Engineering
 
 , or a related field.
 </li>
 <li>
 Proven experience (typically 3&ndash;7 years) in
 
 railway safety engineering
 
 , preferably in locomotive or rolling stock projects.
 </li>
 <li>
 Strong knowledge of
 
 railway safety standards
 
 (e.g., EN 50126, EN 50128, EN 50129).
 </li>
 <li>
 Experience with
 
 safety analysis tools
 
 (e.g., Medini Analyze, FaultTree+, RAM Commander).
 </li>
 <li>
 Familiarity with
 
 systems engineering principles
 
 and
 
 V-model development
 
 .
 </li>
 <li>
 Excellent written and verbal communication skills.
 </li>
 <li>
 Ability to work independently and in a team-oriented environment.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Chartered Engineer or working towards professional certification.
 </li>
 <li>
 Experience with
 
 RAMS (Reliability, Availability, Maintainability, Safety)
 
 processes.
 </li>
 <li>
 Knowledge of
 
 software safety
 
 and
 
 cybersecurity
 
 in railway systems.
 </li>
 <li>
 Experience in
 
 interfacing with certification bodies
 
 and
 
 regulatory authorities
 
 .
 </li>
 </ul>
 
 
</div>

Locomotive Safety Engineer

ACWA Power

<div>
 
 
 Electrical Engineer &ndash; Technical Services (Electrical &amp; Instrumentation)
 
 
 
 📍
 
 Bangalore Engineering Office
 
 
 
 📌 Reports to: Director &ndash; Electrical Engineering
 
 
 
 
 
 ACWA Power is looking for an
 
 Electrical Engineer
 
 to provide deep electrical engineering expertise across bidding, engineering, EPC review and asset operations.
 
 
 
 
 
 You will support BD during technical bid development, assess equipment configurations, review EPC drawings, provide guidance to NOMAC and EPC contractors, and support optimisation of power plant electrical systems across ACWA&rsquo;s global portfolio.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Evaluate electrical equipment performance, reliability, spare parts strategy and cost.
 </li>
 <li>
 Develop technical input for bids and present electrical system risks/opportunities.
 </li>
 <li>
 Review EPC electrical design packages to ensure compliance with specifications.
 </li>
 <li>
 Support root-cause analysis and integrate operational lessons into future designs.
 </li>
 <li>
 Provide expertise in power electronics, AC/DC converters, MV stations and grid code requirements.
 </li>
 <li>
 Guide EPC/O&amp;M teams through design, commissioning and optimisation challenges.
 </li>
 </ul>
 
 
 
 
 
 What You Bring
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in Electrical Engineering.
 </li>
 <li>
 8&ndash;10 years in power/utilities (O&amp;M, EPC or Developer).
 </li>
 <li>
 Strong understanding of electrical engineering principles and grid codes.
 </li>
 <li>
 Experience with power electronics, MV power stations, and BoP systems.
 </li>
 <li>
 High communication skills and ability to solve complex issues.
 </li>
 <li>
 Knowledge of IEC, IEEE, ISO and client standards.
 </li>
 </ul>
 
 
</div>

Electrical Engineer

Qualcomm

<div>
 
 Company
 
 
 
 Qualcomm India Private Limited
 
 
 
 Job Area
 
 
 
 Facilities &amp; Security Group, Facilities &amp; Security Group &gt; Facilities Engineering
 
 
 
 Qualcomm Overview
 
 
 
 Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.
 
 
 
 General Summary
 
 
 
 
 Job Description - Building Maintenance Engineer
 
 
 
 
 Job Overview
 
 
 
 A Building Maintenance Engineer is a skilled professional responsible for the safe and efficient functioning of a building and its equipment. They are involved in the upkeep of buildings, including general maintenance, repairs, and the installation of new systems. Qualifications may include experience in engineering, plumbing, electrical work, air conditioning, and interior fit outs. A Building Maintenance Engineer is an important role in businesses and organizations, ensuring that the building is safe and secure while also maintaining the highest standards of building infrastructure. An eye for detail, excellent problem-solving skills, and the ability to think on your feet is vital for this role.
 
 
 
 Building Maintenance Engineer Responsibilities
 
 
 
 <ul>
 <li>
 Maintain the highest standards of quality with cost and time balanced
 </li>
 <li>
 Good communication both oral and written is a must to collaborate with all stakeholders
 </li>
 <li>
 Perform regular inspections and maintenance of building systems to detect and address issues periodically and predictive
 </li>
 <li>
 Should be able to use analytical skills to identify options and implement in quick time
 </li>
 <li>
 Should have the ability to lead, manage and educate internal team of carpenters, plumbers, painters on quality, time and cost
 </li>
 <li>
 Hands on approach
 </li>
 <li>
 Critical thinking to be used for every solution and project to find other options
 </li>
 <li>
 Maintain and educate suppliers on safe and clean work site standards
 </li>
 <li>
 Should be able to work on every repair and maintenance request irrespective of size
 </li>
 <li>
 Conduct repairs on civil and interiors and knowledge of electrical, plumbing, HVAC, and other mechanical systems as needed.
 </li>
 <li>
 Create, track and close a 52 week plan with budget. Work with all stakeholders including finance and procurement teams
 </li>
 <li>
 Work with EHS team to adhere to all safety protocols, regulations, and codes, promoting a culture of safety throughout the organization.
 </li>
 <li>
 Knowledge of OSHA and other safety guidelines are needed
 </li>
 <li>
 Coordinate and track maintenance and repair projects, including managing contractors and vendors and ensuring work is completed to industry standards.
 </li>
 <li>
 Maintain accurate records of maintenance and repair work, including conducting regular equipment inventory and creating maintenance schedules.
 </li>
 <li>
 Respond promptly to maintenance requests and emergencies, troubleshooting issues and implement effective solutions in a timely manner.
 </li>
 <li>
 Stay updated on industry trends and best practices in building maintenance and recommend improvements to enhance facility efficiency and performance.
 </li>
 <li>
 Collaborate with other team members to develop and implement preventive maintenance programs that extend the lifespan of equipment and systems.
 </li>
 <li>
 Knowledge of Industry best practices, standards, methods, materials and costing is critical factor to have.
 </li>
 <li>
 Highest integrity and self-motivation is critical responsibility.
 
 
 
 </li>
 </ul>
 
 Key Deliverables
 
 
 
 <ul>
 <li>
 Value for money
 </li>
 <li>
 Innovative solutions
 </li>
 <li>
 Cost optimization
 </li>
 <li>
 Best in quality repairs and upgrades
 </li>
 <li>
 Predictive schedules
 </li>
 <li>
 Monthly reports
 </li>
 <li>
 Zero Safety Incidents
 </li>
 <li>
 Budget preparation, tracking and reporting
 
 
 
 </li>
 </ul>
 
 Building Maintenance Engineer Qualifications &amp; Skills
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering or a related field.
 </li>
 <li>
 Proven experience working as a Building Maintenance Engineer or in a similar role.
 </li>
 <li>
 In-depth knowledge of building systems, including HVAC,BMS, plumbing, electrical, and fire safety systems.
 </li>
 <li>
 Strong troubleshooting and problem-solving skills to quickly identify and address maintenance issues.
 </li>
 <li>
 Proficient in using maintenance management software and automation
 </li>
 <li>
 Excellent communication and interpersonal skills to effectively coordinate with internal teams, contractors, and vendors.
 </li>
 <li>
 Ability to prioritize tasks, work independently, and manage time effectively.
 </li>
 <li>
 Attention to detail and a commitment to delivering high-quality work.
 </li>
 <li>
 Valid professional license or certification in building maintenance or a related field is preferred.
 
 
 
 </li>
 </ul>
 
 Applicants
 
 : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail myhr.support@qualcomm.com or call Qualcomm's toll-free number found
 
 here
 
 . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
 
 
 Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
 
 
 
 To all Staffing and Recruiting Agencies:
 
 Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
 
 
 If you would like more information about this role, please contact Qualcomm Careers.
</div>

Engineer Building Maintenance Services

HCLTech

<div>
 
 
 Job Title:
 
 
 
 
 ML Ops Engineer / ML Engineer
 
 
 
 Experience - 5Yrs -20 Yrs
 
 
 Location - Chennai / Bangalore / Hyderabad / Pune / Noida / Mumbai/
 
 
 
 
 
 
 Job Overview:
 
 
 
 We are looking for an experienced MLOps Engineer to help deploy, scale, and manage machine learning models in production environments. You will work closely with data scientists and engineering teams to automate the machine learning lifecycle, optimize model performance, and ensure smooth integration with data pipelines.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Transform prototypes into production-grade models
 
 
 <ul>
 <li>
 Assist in building and maintaining machine learning pipelines and infrastructure across cloud platforms such as AWS, Azure, and GCP.
 </li>
 <li>
 Develop REST APIs or FastAPI services for model serving, enabling real-time predictions and integration with other applications.
 </li>
 <li>
 Collaborate with data scientists to design and develop drift detection and accuracy measurements for live models deployed.
 </li>
 <li>
 Collaborate with data governance and technical teams to ensure compliance with engineering standards.
 </li>
 </ul>
 
 
 Maintain models in production
 
 
 <ul>
 <li>
 Collaborate with data scientists and engineers to deploy, monitor, update, and manage models in production.
 </li>
 <li>
 Manage the full CI/CD cycle for live models, including testing and deployment.
 </li>
 <li>
 Develop logging, alerting, and mitigation strategies for handling model errors and optimize performance.
 </li>
 <li>
 Troubleshoot and resolve issues related to ML model deployment and performance.
 </li>
 <li>
 Support both batch and real-time integrations for model inference, ensuring models are accessible through APIs or scheduled batch jobs, depending on use case.
 </li>
 </ul>
 
 
 Contribute to AI platform and engineering practices
 
 
 <ul>
 <li>
 Contribute to the development and maintenance of the AI infrastructure, ensuring the models are scalable, secure, and optimized for performance.
 </li>
 <li>
 Collaborate with the team to establish best practices for model deployment, version control, monitoring, and continuous integration/continuous deployment (CI/CD).
 </li>
 <li>
 Drive the adoption of modern AI/ML engineering practices and help enhance the team&rsquo;s MLOps capabilities.
 </li>
 <li>
 Develop and maintain Flask or FastAPI-based microservices for serving models and managing model APIs.
 </li>
 </ul>
 
 
 
 
 
 Minimum Required Skills:
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, analytics, mathematics, statistics.
 </li>
 <li>
 Strong experience in Python, SQL, Pyspark.
 </li>
 <li>
 Solid understanding and knowledge of containerization technologies (Docker, Podman, Kubernetes).
 </li>
 <li>
 Proficient in CI/CD pipelines, model monitoring, and MLOps platforms (e.g., AWS SageMaker, Azure ML, MLFlow).
 </li>
 <li>
 Proficiency in cloud platforms, specifically AWS, Azure and GCP.
 </li>
 <li>
 Familiarity with ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
 </li>
 <li>
 Familiarity with batch processing integration for large-scale data pipelines.
 </li>
 <li>
 Experience with serving models using FastAPI, Flask, or similar frameworks for real-time inference.
 </li>
 <li>
 Certifications in AWS, Azure or ML technologies are a plus.
 </li>
 <li>
 Experience with Databricks is highly valued.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 <li>
 Ability to work in a team-oriented, collaborative environment.
 </li>
 </ul>
 
 
 
 
 
 Tools and Technologies:
 
 
 
 
 Model Development &amp; Tracking:
 
 TensorFlow, PyTorch, scikit-learn, MLflow, Weights &amp; Biases
 
 
 
 Model Packaging &amp; Serving:
 
 Docker, Kubernetes, FastAPI, Flask, ONNX, TorchScript
 
 
 
 CI/CD &amp; Pipelines:
 
 GitHub Actions, GitLab CI, Jenkins, ZenML, Kubeflow Pipelines, Metaflow
 
 
 
 Infrastructure &amp; Orchestration:
 
 Terraform, Ansible, Apache Airflow, Prefect
 
 
 
 Cloud &amp; Deployment:
 
 AWS, GCP, Azure, Serverless (Lambda, Cloud Functions)
 
 
 
 Monitoring &amp; Logging:
 
 Prometheus, Grafana, ELK Stack, WhyLabs, Evidently AI, Arize
 
 
 
 Testing &amp; Validation:
 
 Pytest, unittest, Pydantic, Great Expectations
 
 
 
 Feature Store &amp; Data Handling:
 
 Feast, Tecton, Hopsworks, Pandas, Spark, Dask
 
 
 
 Message Brokers &amp; Data Streams:
 
 Kafka, Redis Streams
 
 
 
 Vector DB &amp; LLM Integrations (optional):
 
 Pinecone, FAISS, Weaviate, LangChain, LlamaIndex, PromptLayer
 
</div>

Machine Learning Engineer

Takeda

<div>
 By clicking the &ldquo;Apply&rdquo; button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda&rsquo;s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.
 
 
 
 Job Description:
 
 
 
 
 The Future Begins Here:
 
 
 
 At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet.
 
 
 Bengaluru, the city, which is India&rsquo;s epicenter of Innovation, has been selected to be home to Takeda&rsquo;s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.
 
 
 
 At Takeda&rsquo;s ICC we Unite in Diversity:
 
 
 
 Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team
 
 
 
 About the role :
 
 
 
 As a Data Engineer, you will play an important role in supporting the design and implementation of data infrastructure and flow systems at Takeda. We are seeking an innovative and excited individual to aid in data collection and processing, allowing all business stakeholders to have access to data insights. In your role, you will collaborate closely with Data Engineer team members to help develop and maintain a robust data infrastructure, streamlining informed decision-making within Takeda. Your contributions will be integral to enhancing Takeda&rsquo;s dashboards and reporting, providing actionable insights to stakeholders throughout the business.
 
 
 In this role, you will be a part of ICC PDT Digital Analytics team. This team drives business insights to analyse and interpret the organization&rsquo;s data with the purpose of drawing conclusions about information and trends. This role will work closely with the Senior Data Engineers on executing complex tasks. This role will also align to the Data &amp; Analytics chapter of the ICC as a competency.
 
 
 This position will report to the Data Engineer lead for direction and Day-to-day management.
 
 
 
 How you will contribute :
 
 
 
 <ul>
 <li>
 Support the development and maintenance of data architecture and pipelines.
 </li>
 <li>
 Support the standardization, customization, and ad hoc data analysis by developing mechanisms that analyze and clean data.
 </li>
 <li>
 Utilize AWS technologies to build new integrations for increased data source, volume, and complexity.
 </li>
 <li>
 Outline data requirements for gathering and mining large-scale data.
 </li>
 <li>
 Support the implementation processes that drive data reconciliation and quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes.
 </li>
 <li>
 Participate in the evaluation, implementation, and deployment of emerging tools for analytic data engineering to improve productivity.
 </li>
 <li>
 Coordinate with Senior Data Engineers to write unit, integration, and performance test scripts that perform data analysis.
 </li>
 <li>
 Support Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives.
 </li>
 <li>
 Collaborate with Senior Data Engineers and Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling.
 
 
 </li>
 </ul>
 
 Minimum Requirements/Qualifications :
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Engineering, Computer Science, Data Science, or related field.
 </li>
 <li>
 3-5 year of experience in software development, data science, data engineering, ETL, and analytics reporting development
 </li>
 <li>
 Knowledge of designing, building, implementing, and maintaining data and system integrations, understand software being leveraged
 </li>
 <li>
 Demonstrated understanding and experience using
 </li>
 <ul>
 <li>
 Data Engineering Programming Languages (i.e., Python, SQL)
 </li>
 <li>
 Distributed Data Framework (e.g., Spark)
 </li>
 <li>
 Cloud platform services (AWS/ Azure preferred)
 </li>
 <li>
 Relational Databases (Postgres/ SQL server)
 </li>
 <li>
 DevOps and continuous integration
 </li>
 <li>
 AWS knowledge on services like Lambda, DMS, Step Functions, S3, Event Bridge, Cloud Watch, Aurora RDS or related AWS ETL services
 </li>
 <li>
 Knowledge of Data lakes, Data warehouses
 </li>
 <li>
 Databricks/Delta Lakehouse architecture
 </li>
 <li>
 Code management platforms like Github/ Gitlab/ etc.,
 </li>
 <li>
 Job orchestration tools like Tidal/ Airflow
 </li>
 </ul>
 <li>
 Understanding of database architecture and administration
 </li>
 <li>
 Knowledge of the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases
 </li>
 <li>
 Proficient written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners
 </li>
 <li>
 Willingness to learn and collaborate with Senior and Mid-Level Data Engineers
 </li>
 <li>
 Strong problem solving and attention to detail skills
 </li>
 <li>
 Ability to work in a fast-paced environment
 
 </li>
 </ul>
 
 Preferred skillsets:
 
 
 
 <ul>
 <li>
 Experience working in a global environment
 </li>
 <li>
 Ability to support Senior Data Engineers in designing and implementing complex data solutions
 </li>
 <li>
 Demonstrated understanding and experience using
 </li>
 <ul>
 <li>
 Knowledge in CDK
 </li>
 <li>
 Experience in IICS Data Integration tool
 </li>
 <li>
 Job orchestration tools like Tidal/Airflow/ or similar
 </li>
 <li>
 Knowledge on No SQL
 </li>
 </ul>
 <li>
 Proficiency in leveraging the Databricks Unity Catalog for effective data governance and implementing robust access control mechanisms is highly advantageous.
 </li>
 <li>
 Databricks Certified Data Engineer Associate and/or AWS Certified Data Engineer
 
 </li>
 </ul>
 
 BENEFITS:
 
 
 
 It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are
 
 
 <ul>
 <li>
 Competitive Salary + Performance Annual Bonus
 </li>
 <li>
 Flexible work environment, including hybrid working
 </li>
 <li>
 Comprehensive Healthcare Insurance Plans for self, spouse, and children
 </li>
 <li>
 Group Term Life Insurance and Group Accident Insurance programs
 </li>
 <li>
 Employee Assistance Program
 </li>
 <li>
 Broad Variety of learning platforms
 </li>
 <li>
 Diversity, Equity, and Inclusion Programs
 </li>
 <li>
 Reimbursements &ndash; Home Internet &amp; Mobile Phone
 </li>
 <li>
 Employee Referral Program
 </li>
 <li>
 Leaves &ndash; Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days)
 
 
 </li>
 </ul>
 
 ABOUT ICC IN TAKEDA:
 
 
 
 <ul>
 <li>
 Takeda is leading a digital revolution. We&rsquo;re not just transforming our company; we&rsquo;re improving the lives of millions of patients who rely on our medicines every day.
 </li>
 <li>
 As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.
 
 
 </li>
 </ul>
 
 Locations:
 
 
 
 IND - Bengaluru
 
 
 
 Worker Type:
 
 
 
 Employee
 
 
 
 Worker Sub-Type:
 
 
 
 Regular
 
 
 
 Time Type:
 
 
 
 Full time
 
 
</div>

Data Engineer for Data & Analytics

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