Spare Parts Jobs in Bengaluru

Service Delivery Executive Department: Unitary Service Location: Bengaluru Job Purpose The Service Delivery Executive is responsible for ensuring high-quality service delivery and achieving revenue targets through effective management of service operations and channel partners. This role focuses on preventive maintenance, complaint resolution, and maintaining a high Customer Satisfaction Index (CSI). Key Responsibilities Complaint Management: Monitor open service complaints and ensure timely closure according to SLAs. Revenue Generation: Achieve financial targets through AMC, spare parts sales, and specialized service offerings. Quality Assurance: Adhere to preventive maintenance schedules and conduct regular service quality audits. Data Management: Maintain accurate customer information and end-user data within the internal systems. Customer Engagement: Drive proactive engagement to resolve concerns and improve the Customer Satisfaction Index (CSI). Partner Operations: Manage invoice processing, defective spare returns, and warranty claims from channel partners. Market Feedback: Collect and report competitor insights and market trends to HQ. Process Implementation: Ensure all channel partners adhere to standard systems and processes for smooth operations. Key Skills & Competencies Strong knowledge of UCPG products and service offerings. Technical expertise in service operations and channel management. Proficiency in vendor and dealer management. Strong negotiation, presentation, and interpersonal skills. Qualifications & Experience Education: Diploma or B.E. in a relevant discipline. Experience: 3 8 years in Service Delivery, Customer Support, or related roles. Qualification : Diploma or B.E. in a relevant discipline

Position: Manufacturing Supervisor Location: Bengaluru Employment Type: Full-Time Job Overview We are seeking a detail-oriented and experienced Manufacturing Supervisor to manage daily production operations in our **3D printing facility**. The role includes overseeing the production team, maintaining equipment efficiency, ensuring quality standards, and optimizing workflows to meet project deadlines. Key Responsibilities Production Supervision & Planning Manage **day-to-day manufacturing operations** on the 3D printing production floor. Plan and schedule production tasks to meet delivery timelines. Monitor workflow, identify bottlenecks, and ensure production schedules are met. Equipment & Process Management Supervise setup, calibration, and maintenance of **3D printers, CNC machines**, and related equipment. Conduct routine inspections and diagnostic tests to ensure machine reliability. Troubleshoot equipment issues promptly and coordinate repairs to **minimize downtime**. Quality Control & Documentation Ensure all products meet **company quality standards** and customer specifications. Maintain accurate documentation of production processes, maintenance logs, and service records. Inventory & Resource Management Monitor **raw materials, consumables, and spare parts** availability. Coordinate timely procurement to avoid shortages. Implement material optimization practices to **reduce waste and control costs**. Process Improvement & Efficiency Analyze manufacturing processes to enhance productivity and reduce operational costs. Implement **preventive maintenance plans** to avoid costly breakdowns. Compliance & Safety Ensure adherence to industry regulations, company policies, and **safety protocols**. Maintain a clean, organized, and hazard-free work environment. Key Skills & Requirements Education: Diploma or Degree in **Mechanical, Manufacturing Engineering**, or related field. Experience: Minimum **3 years of experience in manufacturing supervision**; experience in 3D printing or additive manufacturing is preferred. Technical Knowledge: Strong knowledge of **mechanical systems, production processes, and preventive maintenance**. Core Skills: Excellent troubleshooting and problem-solving skills. Leadership: Proven **leadership and team management abilities**. Communication: Strong communication skills and ability to work in a fast-paced environment. Commitment: Commitment to maintaining safety and quality standards. Qualification : Diploma or Degree in Mechanical, Manufacturing Engineering or related field

After Sales Engineer Location: Bangalore Department: Service & Support Role Summary Fracktal Works is seeking a committed and technically skilled After Sales Engineer to join our support team in Bangalore. This role is crucial in delivering a high-quality post-sales experience through equipment servicing, preventive maintenance, troubleshooting, and customer interaction. Candidates should have a solid understanding of electromechanical systems and be comfortable working hands-on in dynamic environments. Education & Experience Education: ITI or Diploma in Electrical, Electronics, or Mechanical Engineering Experience: 1 3 years in servicing 2D/3D printers, SPM machines, or similar electromechanical systems Key Responsibilities Perform installation, repair, servicing, and preventive maintenance of 3D printers and related electromechanical equipment. Troubleshoot and resolve basic electrical, electronic, and mechanical issues in the field or remotely. Maintain and update service documentation, reports, and customer records. Use basic 3D modeling tools such as AutoCAD or Fusion 360 for component understanding and communication. Build and maintain positive customer relationships to ensure high satisfaction and repeat business. Manage service tickets and turnaround times using tools like Zoho Desk. Be willing to travel for on-site customer support across locations. Coordinate with internal teams for spare parts, technical escalation, and service planning. Ensure proper communication with customers regarding service status, preventive maintenance schedules, and equipment health. Required Skills & Qualifications Proven experience working with electromechanical systems (preferably in 2D/3D printing or SPM equipment). Basic knowledge of electrical and electronic systems, and mechanical components. Strong troubleshooting skills and a methodical approach to diagnosing issues. Familiarity with CAD software like AutoCAD or Fusion 360. Good verbal and written communication skills. Ability to manage tasks independently, handle customer interactions professionally, and maintain service quality standards. At Fracktal Works, you ll be part of a fast-growing company at the forefront of 3D printing technology. As an After Sales Engineer, you ll play a key role in ensuring our customers receive outstanding support and performance from our products, helping drive long-term satisfaction and trust. Qualification : Diploma in Electrical, Electronics, or Mechanical Engineering

Data Engineer Location: Bangalore Company: Capital One India About Capital One At Capital One, we're redefining how technology solves real-world financial challenges. As a technology-driven company, we bring together talented engineers, data scientists, and designers to innovate at scale and deliver meaningful impact to millions of customers. If you're passionate about building powerful data solutions, exploring cutting-edge technologies, and working in a collaborative, fast-paced environment this is the place for you. About the Role As a Data Engineer at Capital One, you ll join a team of innovators who design and build next-generation data platforms and pipelines that power real-time decision-making. You ll collaborate across disciplines engineering, product, machine learning, and cloud infrastructure to transform how we leverage data at scale. What You ll Do Collaborate across Agile teams to design, develop, test, and deploy data-driven solutions. Build and support scalable data pipelines using modern data engineering tools and cloud services. Work on real-time and batch data processing systems that integrate with distributed microservices and ML platforms. Use programming languages such as Python, Java, or Scala with SQL, NoSQL, and cloud data warehouses like Redshift or Snowflake. Contribute to code reviews, unit testing, and performance optimization to ensure high-quality data systems. Partner with product managers and platform teams to deliver robust, cloud-native data solutions that power business decisions. Stay ahead of tech trends, share knowledge, and mentor junior engineers. Basic Qualifications Bachelor s degree in Computer Science, Engineering, or a related field. 1.5+ years of hands-on experience in application or data engineering (excluding internships). At least 1 year of experience working with big data technologies. Preferred Qualifications 3+ years of application/data engineering experience using Python, Scala, Java, or SQL. 1+ year of experience with cloud platforms (AWS, Azure, or GCP). 2+ years of experience with distributed computing tools (Spark, Hadoop, Hive, EMR, Kafka, etc.). 1+ year working on real-time streaming applications. 1+ year of experience with NoSQL databases (MongoDB, Cassandra). 1+ year of experience with data warehousing (Redshift, Snowflake). 2+ years working with Linux/Unix systems and shell scripting. Familiarity with Agile methodologies and modern DevOps practices. Why Join Capital One Work on high-impact data solutions at one of the world s most innovative financial institutions. Be part of a collaborative tech culture that values experimentation and learning. Access to top-tier tools, mentorship, and career development opportunities. Competitive compensation and benefits in a mission-driven environment. Qualification : Bachelors degree in Computer Science, Engineering, or a related field

Position: Marketing Manager / Deputy Manager Type: Full Time Experience: 8 10 Years Location: Bangalore Role Purpose To lead integrated marketing efforts that drive lead generation, customer engagement, and sales enablement across digital platforms, marketing automation systems, and sales operations. This position is crucial in aligning marketing initiatives with sales productivity, ultimately boosting market share and customer reach for the organization. Key Responsibilities Market Analysis & Product Communication Conduct competitive benchmarking, market research, and customer insight gathering for the concrete equipment sector. Develop technical marketing collateral and product content in collaboration with Product Management & Engineering teams. Create newsletters, mailers, and presentations aligned with brand guidelines to support sales efforts. Sales Operations Support Partner with Sales teams to improve CRM usage, lead tracking, and pipeline visibility. Enhance customer journey mapping and conversion processes with sales and product teams. Analyze sales data for trends, opportunities, and engagement gaps. Support the design and implementation of sales enablement tools and mobile sales apps. Digital Marketing & Lead Generation Run and optimize SEO, SEM, and paid media campaigns to increase inbound leads. Manage digital presence across social media, email, and landing pages. Drive performance from platforms like IndiaMART and apply corrective actions where needed. Marketing Automation & Tools Implement and manage platforms such as HubSpot, Zoho Marketing Plus, Salesforce Marketing Cloud, or Marketo. Automate campaigns, lead scoring, and segmentation to enhance efficiency. Track campaign performance and optimize for improved ROI. Events, Exhibitions & Campaigns Plan and execute industry event participation (e.g., EXCON, BAUMA, Concrete Show) in coordination with marketing leadership. Support product launches, roadshows, BTL activities, and customer meets. Oversee vendor coordination and logistics for successful event execution. After-Sales Marketing & Customer Engagement Partner with After-Sales and Parts teams to roll out service campaigns, loyalty programs, and feedback initiatives. Design post-sale campaigns and customer health check content to maintain engagement. Reporting & Analytics Maintain dashboards to track digital, lead conversion, and sales enablement KPIs. Ensure CRM data hygiene and provide actionable insights. Assist with marketing budgeting and monthly expense tracking. Desired Skills & Competencies Strong B2B marketing background, preferably in industrial or capital goods sectors. Proficiency in CRM platforms (Salesforce, Zoho CRM) and marketing automation tools (HubSpot, Marketo). Excellent content creation skills for technical and product marketing. Strong analytical mindset with data-driven decision-making. Effective collaboration with cross-functional teams. Experience with SEO tools, Google Analytics, and LinkedIn Campaign Manager. Educational Qualifications MBA/PGDM in Marketing, Sales, or Business Analytics from a reputed institute. Preferred Industry Background B2B Industrial, Capital Goods, Construction Equipment, or Automotive Components. Qualification : MBA/PGDM in Marketing, Sales, or Business Analytics from a reputed institute

Position: Spare Parts Executive Location: Bangalore Employment Type: Full Time Experience Required: 5 8 Years Industry: Manufacturing / Engineering / Supply Chain Job Overview We are seeking a proactive and detail-oriented Spare Parts Executive to manage end-to-end operations for spare parts quotations, procurement, import coordination, and order fulfillment. The ideal candidate should have a solid background in parts handling, vendor coordination, import documentation, and customer communication. You will be a key link between suppliers, service teams, and customers, ensuring that spare parts are delivered efficiently and in compliance with timelines and regulatory standards. Key Responsibilities Handle incoming RFQs from customers and service engineers; provide accurate and timely quotations for spare parts. Process customer orders with a strong focus on precision, delivery timelines, and specifications. Coordinate with suppliers to: Check pricing and stock availability Negotiate payment and delivery terms Place purchase orders as needed Manage all import-related activities: Prepare and review import documentation Ensure compliance with import regulations, duties, and tariffs Coordinate with customs brokers to resolve clearance issues Monitor inventory and reorder levels to proactively meet customer demand and avoid stockouts. Maintain accurate records of RFQs, orders, supplier interactions, and stock transactions. Verify supplier invoices against ordered and received goods; resolve quantity or quality discrepancies swiftly. Communicate order status, delays, or changes clearly and proactively to customers and service teams. Continuously identify and implement improvements to streamline procurement and fulfillment workflows. Required Skills & Qualifications 5 8 years of experience in spare parts management, procurement, supply chain, or order coordination preferably in manufacturing or engineering services. Strong working knowledge of import/export regulations, documentation, and customs clearance. Experience in supplier negotiations and handling vendor communications. Proficiency in Microsoft Excel, ERP systems, and basic inventory management tools. Excellent communication and coordination skills. High attention to detail and ability to multitask in a deadline-driven environment. Strong problem-solving and decision-making capabilities. Competitive salary and performance incentives Health insurance and other employee benefits Dynamic and collaborative work environment Growth opportunities within operations and supply chain management Apply now to join a team committed to operational excellence and customer satisfaction.

Spare Parts Manager Crushing & Screening Location: Bangalore Experience: Minimum 5 years in the crusher industry Industry Type: Engineering & Construction Education: BE / Diploma in Mechanical Engineering Role Category: After-Sales Service & Repair Job Description We are seeking a skilled and dynamic Spare Parts Manager with strong domain expertise in the Crushing & Screening industry. The ideal candidate will be responsible for managing spare parts sales, product support, customer service, and warehouse coordination, ensuring smooth after-sales operations and customer satisfaction. Key Responsibilities Drive sales of spare parts specifically for crushing and screening equipment. Understand technical specifications and customer requirements to offer the right parts solutions. Coordinate service repairs and timely delivery of parts in collaboration with internal teams. Conduct regular visits to existing and prospective customers to identify and convert sales opportunities. Respond promptly to customer feedback and parts inquiries, ensuring a high level of customer satisfaction. Monitor and follow up on payment collections in alignment with sales and delivery commitments. Collaborate with service teams to fulfill customer requirements efficiently. Build and maintain strong relationships with customers and internal stakeholders. Required Skills & Experience Strong technical knowledge of crushing and heavy equipment parts. Proven track record in spare parts sales and after-sales support within the crushing industry. Proficient in MS Office, ERP systems, and sales reporting tools. Excellent communication skills in English, Hindi, and at least one regional language. Good mechanical aptitude and ability to understand equipment diagrams and parts manuals. Willingness to travel extensively across India to support business growth. Ability to lead, guide, and mentor service and internal sales teams. Preferred Candidate Self-motivated and target-driven with a customer-first approach. Strong negotiation, relationship management, and problem-solving skills. Organized and proactive in managing multiple priorities and customer expectations. Qualification : BE / Diploma in Mechanical Engineering

Spare Parts Sales Crushing & Screening Location: Bangalore Experience: 3 6 years Education: BE / Diploma in Mechanical Engineering Job Type: Full-Time Job Description We are hiring a dynamic and experienced Spare Parts Sales Executive to join our team in Bangalore. The ideal candidate will have a strong background in selling spares and wear parts for crushing and screening equipment, with a proven ability to manage customer relationships and support after-sales service. Key Responsibilities Sell spare and wear parts to customers in the crushing and screening industry. Coordinate with internal teams for service repairs and timely delivery of parts. Identify and pursue new sales opportunities across India. Provide technical assistance to customers regarding parts and applications. Maintain strong relationships with existing clients and ensure repeat business. Travel extensively across India to support sales and customer service. Required Skills & Experience 3 6 years of experience in spare parts sales within the crushing and heavy equipment industry. Strong technical knowledge of mechanical components used in crushing equipment. Excellent communication skills in English, Hindi, and at least one regional language. Good mechanical aptitude and the ability to understand customer technical needs. Proactive and customer-focused approach with strong problem-solving skills. Willingness to travel extensively across India. Qualification : BE / Diploma in Mechanical Engineering

Job Title: Assistant Manager Location: Bengaluru Experience Required: 5 to 13 years Minimum Qualification: Diploma in Electronics Engineering Key Skills Vendor Management Facility Management Customer Relationship Management (CRM) Maintenance & Operations Budgeting & Invoicing Documentation & Compliance Job Summary We are seeking an experienced and proactive Assistant Manager to oversee facility operations, vendor coordination, society handovers, and maintenance processes across residential projects. The role involves cross-functional collaboration, documentation oversight, and ensuring timely execution of services for enhanced customer satisfaction and operational efficiency. Key Responsibilities Operations & Facility Management Manage all AMCs, warranties, service contracts, and PPM (Planned Preventive Maintenance) schedules. Oversee society formation and handover, including documentation sign-offs and equipment transfers. Ensure snag rectification and obtain necessary sign-offs from relevant stakeholders. Maintain uptime of common areas and amenities, and handle repair and spare part management. Coordinate issuance of permits to the project team as required. Budgeting & Financial Coordination Assist in planning and tracking unsold apartment bills, and submit working details to the accounts team. Prepare yearly budgets for common areas and share them with residential societies. Respond to audit queries in coordination with the accounts team. Create and share monthly provisions with the finance department. Monitor and ensure Common Area CAM (Common Area Maintenance) funds are available at all times. Follow up with societies for maintenance invoice payments related to unsold apartments. Process vendor invoices and actively follow up with the accounts team for timely payments. Handover & Customer Coordination Ensure a smooth and delightful handover experience for residents. Verify all documents and issue NOCs (No Objection Certificates) to property owners. Coordinate with MGL (gas) connection teams, track progress, and ensure timely completion with daily reporting. Liaise with project teams to resolve pending common area and tower work. Vendor & Project Coordination Oversee all vendor interactions, ensuring timely invoice submission and validation. Assist in vendor identification, evaluation, and procurement of consumables. Review and track progress on pending snag points with the project team. Ensure adherence to operational guidelines and standard procedures. Administrative & Support Activities Plan and organize staff welfare initiatives, internal events, and cost-reduction programs. Liaise with cross-functional departments to ensure seamless operations. Validate all service reports and ensure proper documentation is maintained. Qualification : Diploma in Electronics Engineering

Position: Data Scientist (AI/ML Expert) Location: Pritech Park SEZ, Block 09, 4th Floor B Wing, Survey No. 51 to 64/4, Outer Ring Road, Bellandur V, Bangalore, Karnataka, India Department: Advanced Analytics Employment Type: Subexian Experience Required: 1 to 3 years Job Overview: We are looking for a talented Data Scientist with expertise in AI/ML to join our Advanced Analytics team. As a key contributor, you ll design, develop, and validate predictive models, recommendation systems, and forecasting solutions, while also collaborating with cross-functional teams to deliver cutting-edge solutions using the latest technologies. Key Responsibilities: Model Development: Design, develop, and validate predictive models, recommendation systems, and forecasting solutions using a mix of statistical, machine learning, and deep learning techniques. You will work both independently and as part of a collaborative team. Data Visualization & Reporting: Communicate actionable insights effectively through compelling dashboards, reports, and visualizations using tools such as Superset, Power BI, and Python libraries (Matplotlib, Seaborn, Plotly). AI & Tech Solutions: Collaborate with teams to design and deliver flexible, scalable solutions using advanced technologies such as AI and large language models (LLMs). API Development: Develop and integrate REST APIs and frameworks such as Flask or FastAPI for seamless deployment of machine learning models. Documentation: Maintain clear, comprehensive documentation for data workflows, model development, and analytical methodologies to ensure knowledge sharing and transparency across teams. Continuous Learning: Stay up-to-date with the latest trends and advancements in data science, algorithms, and technologies, ensuring your skills and knowledge remain cutting-edge. Required Technical Skills: Python Proficiency: Strong experience with Python and libraries like Scikit-learn, TensorFlow/PyTorch, and data visualization libraries (Matplotlib, Seaborn, Plotly). SQL: Solid hands-on experience in SQL for efficient data querying. ML Ops & Pipelines: Understanding of machine learning operations (ML Ops) and ML pipelines for streamlined model deployment. Cloud & Distributed Computing: Exposure to cloud platforms such as AWS, Azure, or GCP and distributed computing tools like Hadoop, Spark, or Pyspark is a plus. Soft Skills: Effective Communication: Strong ability to communicate complex analytical findings in a clear and engaging manner, tailoring insights for both technical and non-technical audiences. Problem-Solving: A proactive problem-solver with the ability to adapt and thrive in a fast-paced, dynamic environment. Continuous Growth: Self-motivated, curious, and always seeking opportunities for professional growth and learning. At Subex, we encourage a collaborative, innovative, and growth-driven work environment. If you're passionate about applying data science techniques to real-world challenges and want to work with cutting-edge AI/ML technologies, we d love to hear from you!

Position: Deputy Manager Mechanical Maintenance Department: Maintenance Location: Bengaluru Role Overview: We are seeking an experienced and proactive Deputy Manager Mechanical Maintenance to lead and manage the mechanical maintenance function at our Bengaluru facility. The ideal candidate will be responsible for ensuring the optimal performance, reliability, and safety of mechanical equipment through strategic planning and execution of maintenance activities. This role demands a hands-on leader who can drive operational efficiency, reduce downtime, and ensure compliance with industry standards. Key Responsibilities: Plan, schedule, and implement preventive and predictive maintenance programs to maximize equipment uptime and longevity. Manage the maintenance budget, ensuring efficient allocation of resources while maintaining quality and performance standards. Troubleshoot and resolve mechanical failures promptly to support uninterrupted production operations. Lead and supervise a team of maintenance technicians, ensuring adherence to safety procedures, SOPs, and company policies. Collaborate with production teams to coordinate planned shutdowns and maintenance activities with minimal disruption. Maintain accurate documentation of maintenance activities, equipment history, spare parts usage, and performance metrics. Develop and implement strategies to improve equipment reliability, reduce breakdowns, and enhance operational performance. Ensure all maintenance practices comply with relevant statutory and regulatory requirements. Lead mechanical maintenance projects, including new equipment installations, upgrades, and commissioning. Mentor and train team members to build technical capabilities and foster a culture of continuous improvement. Qualifications & Skills: Bachelor's degree (B.E/B.Tech) in Mechanical Engineering. Proven experience in a mechanical maintenance leadership role, preferably in a manufacturing or industrial environment. Strong knowledge of preventive and predictive maintenance techniques. Experience in managing budgets, projects, and cross-functional teams. Excellent problem-solving, communication, and leadership skills. Familiarity with regulatory requirements and industry safety standards. Qualification : Bachelor's degree (B.E/B.Tech) in Mechanical Engineering.

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Senior Data Engineer Location: Bengaluru, India Employment Type: Full-time, On-site About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is revolutionizing the world of service intelligence. Backed by leading Silicon Valley venture capitalists and a distinguished group of angel investors, we are recognized as a startup to watch. Our AI-driven platform delivers service predictions in seconds by analyzing structured and unstructured data, alongside insights from top experts. We specialize in complex service environments like high-tech devices, manufacturing, and medical devices, empowering service leaders to optimize key metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you will be part of a dynamic, innovative team that is pushing the boundaries of service intelligence. We value creativity, collaboration, and a relentless commitment to innovation. This is your chance to join a fast-growing startup and help redefine how AI impacts the future of service optimization. About the Role We are building a real-time analytics platform to improve uptime of connected devices and minimize maintenance costs. This involves collecting, analyzing, and leveraging large volumes of sensor data for observability and predictive analytics. As a Senior Data Engineer, you will have the opportunity to build and maintain scalable, high-performance data systems using modern data engineering tools. The ideal candidate will have hands-on experience with Python, Scala, ELT processes, Lakehouse architecture, Apache Spark, Databricks, real-time streaming systems like Kafka and Flink, and observability tools such as the ELK stack, Prometheus, and Grafana. What You ll Do: Data Model Development: Design and implement advanced data models to extract insights from complex datasets. Collaborative Problem Solving: Work with cross-functional teams to devise data-driven solutions for service optimization. Experimental Analysis: Conduct experiments and analyses to enhance service predictions and outcomes. Actionable Insights: Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts. Mentorship: Guide and mentor junior team members, fostering a collaborative and knowledge-sharing environment. What We re Looking For: Experience: At least 4 years of hands-on experience in data engineering, with a focus on building large-scale data systems. Data Pipeline Expertise: Strong proficiency in Python and Scala for developing data pipelines. Big Data Tools: Proven experience with Apache Spark and Databricks for big data processing and analytics. Observability Tools: Hands-on experience with observability tools like Prometheus, Grafana, and the ELK stack or OpenSearch. Real-Time Data Streaming: Experience working with real-time streaming systems such as Kafka and Flink. Cloud Platforms: Familiarity with cloud platforms like Azure, GCP, or AWS. Problem-Solving Skills: Strong analytical and problem-solving abilities to work with complex data systems in fast-paced environments. Collaboration: Excellent communication and teamwork skills, with the ability to work effectively with cross-functional teams. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to leverage advanced AI technology to enhance service decision-making and we are dedicated to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Flexible work arrangements work from home or from our vibrant Bengaluru office Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about using data to drive service intelligence and want to be part of a forward-thinking team, we d love to hear from you!

Lead Data Engineer | ThoughtWorks | Bangalore, India Location: Bangalore, India Employment Type: Full-time, Regular Industry: Information Technology About ThoughtWorks At ThoughtWorks, we're a global technology consultancy that integrates strategy, design, and engineering to drive digital innovation. For over 30 years, we've worked alongside our clients to deliver solutions that challenge the status status quo. With a diverse and inclusive team, we empower each other to grow through shared learning, fostering an environment where innovation thrives. Our commitment to a cultivation culture is key to our success, and we re looking for a Lead Data Engineer to join our Bangalore team and lead transformative projects. Job Overview As a Lead Data Engineer at ThoughtWorks, you will be responsible for designing, developing, and operating modern data architectures that meet client business objectives. You will lead and manage data engineering projects end-to-end, from strategic planning to hands-on coding, ensuring the delivery of scalable and efficient data solutions. Working with cutting-edge technologies, you ll collaborate with stakeholders, clients, and cross-functional teams to implement data-driven strategies that address complex business challenges. Key Responsibilities Project Leadership: Lead and manage data engineering projects from inception to completion, including goal-setting, scope definition, and ensuring on-time delivery in collaboration with cross-functional teams. Data Architecture & Solution Design: Collaborate with clients to design modern data architecture and implement end-to-end solutions that meet key business objectives. Create intricate data processing pipelines to address complex business problems. Stakeholder Collaboration: Work closely with stakeholders to understand business objectives and identify opportunities to leverage data and data quality improvements. Data Modeling & Governance: Develop data models using modern modeling techniques and implement them using appropriate technologies. Ensure compliance with data governance, security, and privacy requirements. Scalable Implementations: Partner with data scientists to design scalable implementations of their models, ensuring the solutions are robust and efficient. Clean, Iterative Code: Write clean, modular code based on TDD (Test-Driven Development) and implement continuous delivery practices to support and operate data pipelines. Technology Guidance: Advise clients on distributed storage and computing technologies, selecting the best options to fit their business needs. Data Quality Strategy: Define and incorporate data quality strategies into daily work processes to ensure high standards and compliance. Job Qualifications Technical Skills: Proven experience in data engineering and system design, with a focus on building Big Data architecture and data pipelines within distributed systems. Deep knowledge of data modeling and hands-on experience with modern data engineering tools and platforms. Strong programming skills, with expertise in building scalable, high-quality data pipelines using languages like Python, Java, Scala, or others. Experience with distributed storage platforms (e.g., Hadoop, Amazon S3, etc.) and distributed processing platforms (e.g., Spark, Flink). Experience working with SQL, NoSQL, data lakes, and other data storage technologies. Familiarity with data visualization techniques and ability to communicate insights effectively across varying audiences. Professional Skills: Stakeholder Management: Strong ability to liaise between clients and other key stakeholders, ensuring trust and buy-in throughout projects. Adaptability & Resilience: Comfortable handling ambiguity and finding innovative solutions to complex challenges. Leadership & Mentorship: Experienced in coaching and mentoring team members, fostering a culture of professional growth and accountability. Risk & Conflict Management: Skilled in managing risks and resolving conflicts, driving projects forward despite challenges. Relationship Building: Natural at cultivating strong relationships with clients, stakeholders, and internal teams to create new opportunities. What You Bring to the Team Leadership: A proven track record in leading high-performance teams and supporting colleagues in their professional development. Curiosity & Innovation: A passion for data and technology and a willingness to continually learn and push the boundaries of what's possible. Collaboration: Ability to work closely with cross-functional teams and stakeholders to design and implement innovative data solutions. At ThoughtWorks, we believe in giving you the autonomy to carve out your unique career path, while providing support through development programs and a vibrant culture of learning. You ll work on exciting projects with a diverse team, solve complex challenges, and make an impact at a global scale. Join ThoughtWorks and be part of a global community of innovators. Together, we turn curiosity into action and creativity into impactful solutions.

Position: Cloud Data Engineer AWS Big Data Location: Bangalore, India Employment Type: Full-time Experience Required: 5 to 8 years Purpose of the Position: Join the Infocepts Cloud Data Architect Team as a Cloud Data Engineer and help design and implement cutting-edge big data solutions on AWS. You will leverage your expertise in EMR, Athena, PySpark, S3, AWS Lambda, and SQL to develop robust and scalable data platforms. Key Responsibilities: Technology Assessment and Design: Assess existing technology landscape and data integration frameworks. Design complex Big Data use cases using AWS services under guidance of the Architect. Support architectural decision-making by evaluating trade-offs in cost, performance, and durability. Recommend optimizations to existing data infrastructure. Documentation and Stakeholder Communication: Create project documentation adhering to quality and delivery standards. Collaborate closely with Architects and Project Managers for scoping, estimation, and planning. Present design decisions to technical and business stakeholders clearly. Conduct PoCs and design review sessions. Process Improvement and Automation: Identify and suggest opportunities for automation and process enhancements. Mentor junior engineers and support technical problem solving. Training and Knowledge Sharing: Prepare and deliver internal training on AWS and Big Data topics. Lead client knowledge sharing sessions and contribute to case studies. Essential Skills: In-depth experience with AWS services: S3, EC2, EMR, Athena, Glue, Lambda Familiarity with MPP databases like Redshift, Snowflake, or SingleStore Proficiency in Apache Spark and Databricks Strong programming skills in Python Experience building data pipelines using AWS and Databricks Knowledge of Big Data file formats such as Delta Lake Advanced SQL skills for large-scale data manipulation Hands-on experience with Apache Airflow or similar orchestration tools Strong understanding of ETL workflows and data warehousing concepts Desirable Skills: Cloud databases: AWS Aurora, Snowflake Experience with Hadoop and Hive AWS Certifications (Associate or Professional level) are a plus Qualifications: Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred) Overall 5+ years of IT experience with at least 3 years in AWS Big Data projects Ongoing learning and technical certifications are strongly encouraged Key Qualities: Strong problem-solving and analytical thinking Self-driven with a passion for emerging data technologies Excellent communication and client presentation skills Ability to work in cross-functional, agile teams Apply now to be part of a high-impact data transformation team working on large-scale cloud data projects! Qualification : Bachelors degree in Computer Science, Engineering, or related field (Masters preferred)

Job Title: Product Marketing Manager Equipment Services (EQS) Location: Bengaluru, India Reports To: EQS Global Product Marketing Director About the Role: We are seeking a Product Marketing Manager to join our Equipment Services (EQS) Marketing team. In this role, you will develop and execute strategic marketing initiatives aimed at driving growth for the OptiRun Services Parts and Upgrades Portfolio. This position will be based in Bengaluru, India, and will report directly to the EQS Global Product Marketing Director. Key Responsibilities: Marketing Strategy: Develop and execute a comprehensive annual marketing growth plan for spare parts and upgrades, with a strong emphasis on eCommerce expansion within the EQS business unit. Campaign Management: Design and implement omnichannel awareness and lead generation campaigns to drive lead funnel growth and conversions. Content & Sales Enablement: Collaborate with product management, sales teams, creative agencies, and Marcom to develop persona-driven content, including sales tools, case studies, and digital assets that align with the buyer's journey. Cross-Functional Collaboration: Align with product management, sales, and regional marketing teams to ensure accurate tracking of installed base data and market visibility. Act as the subject matter expert for services e-commerce and service NPIs, and lead Problem-Solving Projects (PSPs) to enhance performance. Market Insights & Competitive Analysis: Collect customer insights (VOC), monitor industry trends, and analyze the competitive landscape to continuously refine marketing strategies and adjust product positioning. Who You Are: Education: Bachelor s degree in Marketing, Business, or a related field (MBA is preferred). Experience: 5+ years of experience in marketing, service product management, or marketing communications, with a strong understanding of service offerings (such as contracts, qualifications, operator training, spare parts, remote monitoring, and eCommerce catalog expansion). Proven Expertise: Demonstrated experience in building and executing lead generation, awareness campaigns, and developing content aligned with the buyer's journey. Project Management: Strong experience managing marketing projects (eCommerce catalog, NPIs, customer VOC, etc.) and driving results across multiple teams. Effective Communication: Ability to communicate clearly and effectively with stakeholders at all levels within the organization. Preferred Qualifications: Familiarity with Danaher Business Tools (DBS), including Transformative Marketing, Launch Excellence, Strategic Segmentation, and PSP. Prior experience with ServiceMax, Salesforce, and Google Analytics. A collaborative and results-driven mindset with the ability to work cross-functionally to achieve marketing goals. Qualification : Bachelors degree in Marketing, Business, or a related field (MBA is preferred).

Azure Data Engineer IBM Consulting Client Innovation Center Location: Bengaluru, India Experience: 7+ Years (Minimum 4+ Years in Azure Technologies) Job Type: Full-Time Education Required: Bachelor s Degree (Master s preferred) Introduction: Join IBM Consulting at our Client Innovation Center in Bengaluru, where we deliver deep technical and industry expertise to a wide range of public and private sector clients. Our delivery centers focus on innovation, agility, and adoption of next-gen technologies to transform businesses locally and globally. Your Role & Responsibilities: Design and develop scalable data engineering solutions on Microsoft Azure. Build, optimize, and manage data pipelines and ETL workflows using tools like Azure Data Factory, ADLS, and Databricks. Write clean, efficient code using PySpark, PL/SQL, and Spark SQL. Integrate and manage data from various sources, both structured and unstructured. Work with SQL, Postgres, Cassandra, and Cosmos DB. Utilize Azure services such as Stream Analytics, SQL DW, Azure Functions, ARM Templates, and Analysis Services. Implement and maintain serverless architectures for modern data solutions. Ensure high-quality data delivery, security, and compliance across systems. Collaborate across teams and contribute to solution design, code reviews, and documentation. Required Skills & Experience: Bachelor s degree in Computer Science, Information Systems, or related technical field. 7+ years total experience in Data Engineering, with 4+ years in Azure-based data projects. Strong hands-on experience with: Azure Data Factory, Data Lake (ADLS), Databricks Programming: Python, PySpark, PL/SQL, Spark SQL Databases: SQL, Postgres, Cassandra, Cosmos DB Solid grasp of data warehousing, relational databases, and cloud-based architectures. Familiarity with version control tools like Git and CI/CD pipelines. Preferred Skills & Qualifications: Master s Degree in a relevant field. Experience with: ARM Templates, Azure Functions, Serverless Architectures Object-oriented scripting languages (Python, Scala, etc.) Excellent problem-solving and communication skills. Ability to work in a fast-paced environment and collaborate effectively with teams and stakeholders. What You ll Get: Work on high-impact, global projects with cutting-edge Azure technologies. Be part of a collaborative and forward-thinking IBM team. Opportunities for professional growth, upskilling, and certifications. A dynamic work culture focused on innovation, agility, and client success. Join us in Bengaluru and be part of IBM s journey in shaping the future of data engineering. Qualification : Bachelors degree in Computer Science, Information Systems, or related technical field.

Job Description: Senior Software Development Engineer - Oracle Cloud Infrastructure Core Services Development Team Role: Senior Software Development Engineer Team: OCI Virtual Networking Core Services Development Team Location: India Career Level: IC3 Experience: 4+ years Overview: Oracle's Cloud Infrastructure (OCI) is building state-of-the-art infrastructure-as-a-service (IaaS) technologies that operate at high scale across a globally distributed, multi-tenant cloud. The OCI Virtual Networking team is at the heart of this effort, developing distributed, highly available virtual networking services. This team is responsible for foundational cloud services, such as the Virtual Cloud Network (VCN), VPN, Customer Cloud Connectivity, Network Firewalls, and other edge services. As a Senior Software Development Engineer, you will be responsible for designing, developing, and optimizing complex distributed systems that interact with end users and network infrastructure. Your role will involve working on distributed services, developing algorithms for efficient data transfer across networks, and ensuring scalability and reliability within Oracle's cloud environment. You will work closely with a collaborative, agile team of engineers while contributing to building the future of cloud networking services. Key Responsibilities: Software Development & Design: Design, develop, and implement distributed networking services within OCI's Virtual Cloud Network (VCN). Focus on writing clean, maintainable, and optimized code to enhance performance and scalability. Develop and optimize algorithms to ensure efficient data transfer and network operations across the distributed cloud infrastructure. Ensure the performance and scalability of the code, especially when deployed in a cloud environment. Collaboration & Agile Work Environment: Collaborate closely with cross-functional teams in a fast-paced, agile development environment. Participate in the full software development lifecycle, from planning and design to testing and deployment. Work with other team members to ensure the integration of various OCI services, with a focus on automation and scalability. Operational Support & Troubleshooting: Contribute to the operational support of production services, including on-call duties. Troubleshoot and resolve complex issues, ensuring high availability and reliability of networking services. Provide technical leadership and contribute to the continuous improvement of the services. Leadership & Mentorship: Take ownership of parts of the service and its components, leading from design to implementation. Mentor junior engineers and provide technical guidance and support. Share knowledge and contribute to the team s growth through code reviews, knowledge-sharing sessions, and coaching. Technical and Professional Requirements: Programming Expertise: Expert-level experience with Java in developing large-scale, high-performance applications. Experience in concurrent programming and the design of distributed systems. Proficiency in solving complex problems related to scalability, performance, and reliability in cloud environments. Cloud & Distributed Systems: Experience in building and maintaining distributed, scalable services, especially within cloud infrastructures. Strong knowledge of cloud technologies and networking protocols. System Design & Optimization: Solid understanding of system architecture, including how components interact in a distributed, cloud-based system. Ability to optimize code for performance and scalability in production environments. Operational Understanding: Experience in operating production services and providing support during on-call rotations. Understanding of troubleshooting complex system issues, particularly in a distributed cloud environment. Team Collaboration & Communication: Ability to work in a collaborative and agile team environment. Strong verbal and written communication skills for effective coordination across teams. Preferred Qualifications: Experience in Large-Scale Distributed Services: Prior experience in building and scaling distributed services, particularly in cloud or network-related domains. Python Skills: Knowledge of Python for scripting, automation, and solving network-related problems is a plus. Additional Skills: Experience with cloud services, such as VPN, firewalls, network connectivity, and network security. Exposure to containerization technologies such as Docker and orchestration tools like Kubernetes is advantageous. Educational Requirements: Bachelor s or Master s degree in Computer Science, Electrical/Hardware Engineering, or a related field. At Oracle, you will have the opportunity to work on cutting-edge technologies that power cloud networking at a global scale. You will be part of a dynamic and innovative team, contributing to the development of highly scalable and distributed networking services within Oracle's cloud infrastructure. Your expertise will be crucial to driving the evolution of cloud technologies, and you will have a chance to mentor junior engineers while working in a collaborative, fast-paced environment. Qualification : Bachelors or Masters degree in Computer Science, Electrical/Hardware Engineering, or a related field.

What Makes Us a Great Place to Work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity, and a model of social responsibility. We are currently ranked #1 on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four for the last 13 years. We believe that diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor, and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ, and parents. Who You ll Work With Vector is Bain s integrated digital and analytics capability, bringing together Enterprise Technology and AI, Insights & Solutions (AIS) to deliver cutting-edge innovation. AIS, formed through the merger of Bain's Advanced Analytics and Innovation & Design teams, is a diverse group of experts in analytics, engineering, product management, and design. Together, we create human-centric solutions that leverage the power of data and artificial intelligence to drive competitive advantage for our clients. As part of AIS, the India-based Center of Excellence (COE) specializes in delivering Generative AI (Gen AI) and advanced engineering solutions for our clients globally. The COE will also lead the charge on building solution accelerators for our clients. What You ll Do As a Manager, AIS Software Engineering, you will lead the development and application of technical solutions to address complex problems in various industries. You will guide a diverse engineering team through the entire engineering lifecycle while collaborating with remote and distributed teams, including both technical and consulting teams across the globe. Your responsibilities will include designing, developing, optimizing, and deploying cutting-edge software engineering solutions and infrastructure at the production scale required by the world s largest companies. Collaboration: Work closely with colleagues in the AIS COE (e.g., data scientists, ML engineers, software engineers, platform engineers) to build software solutions that solve clients business problems. Technical Leadership: Serve as the overall technical leader, providing deep expertise in software engineering, distributed systems, AI, and application architecture design. Lead the development and delivery of end-to-end solutions for client cases. Development Lifecycle: Lead key parts of the software development life cycle, including architecture design, writing clean code, conducting code reviews, writing documentation, and identifying issues and resolutions. Framework Development: Collaborate on (or lead) the development of re-usable common frameworks, models, and components to address common software engineering problems across industries and business functions. Best Practices & Innovation: Drive best practices in software engineering and share learnings with team members in AIS. Promote industry-leading innovations to create significant client impact. Team Management: Contribute to creating a great working environment that attracts talented engineers. Act as a PD Advisor as needed and support recruiting and onboarding new team members. Travel Requirements: Minimum travel, based on project needs and training opportunities. About You Education & Experience: Bachelors/Master s degree in Computer Science, Engineering, or a related technical field. 8+ years of hands-on experience in web development, programming languages, version control, software design patterns, infrastructure, deployment, integration, and unit testing. 3+ years of experience managing software engineers. A proven track record of leading a team and collaborating on strategic initiatives, with experience in shipping production applications and software analytics products. Technical Expertise: Expert knowledge (5+ years) of Python. Deep experience with server-side frameworks and technologies such as FastAPI, Node.js, Flask. Familiarity with cloud platforms like AWS, Azure, or GCP. Strong understanding of software architecture, DB design, scalability, and SQL, with experience in RDBMS (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra, Elasticsearch). Experience with client-side technologies such as React, Vue.js, HTML, and CSS. Familiarity with DevSecOps principles, CI/CD tools, MLOps, LLMOps, and infrastructure as code (Jenkins, Docker, Kubernetes, Terraform). Knowledge of software security, privacy regulations, and cybersecurity. Soft Skills: Strong interpersonal and communication skills, including the ability to explain technical concepts to colleagues and clients from other disciplines. Curiosity, proactivity, and critical thinking. Ability to collaborate effectively with people at all levels and with multi-office/region teams. Ability to work independently, manage multiple priorities, and thrive in a fast-paced and ambiguous environment. About Us Bain & Company is a global consultancy that helps the world s most ambitious change makers define the future. Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a platinum rating from EcoVadis, the leading platform for environmental, social, and ethical performa...

Your Impact As a Data Engineer at QuantumBlack, you will collaborate with stakeholders, data scientists, and internal teams to develop and implement impactful data products and solutions. Your key responsibilities will include building and maintaining technical platforms for advanced analytics, designing scalable and reproducible data pipelines for machine learning, and ensuring information security within data environments. You will assess clients' data quality, map data fields to hypotheses, and prepare data for use in analytics models. Additionally, you will contribute to R&D projects, internal asset development, and participate in cross-functional problem-solving sessions with a variety of stakeholders, including C-level executives, to create innovative analytics solutions. You will be based in Gurugram, joining a global data engineering community, and work within cross-functional and Agile project teams alongside project managers, data scientists, machine learning engineers, other data engineers, and industry experts. You will collaborate directly with our clients, ranging from data owners and users to C-level executives. You will be aligned with one of our industry-focused practices: Pharma & Medical Products (PMP) or Global Energy & Materials (GEM). In these practices, you ll work on solving the most critical challenges for our clients in these sectors. PMP focuses on advancing the development and delivery of life-saving medicines and medical treatments, while GEM supports industries like chemicals, steel, mining, and energy to achieve operational excellence. GEMx and PMPx, the assetization arm of these practices, focus on creating reusable digital and analytics assets to support client work. As part of this team, you will help shape impactful solutions for large organizations, developing capabilities for sustained impact. Your Growth In this role, you will contribute to the frameworks and libraries that our teams of Data Scientists and Engineers use to progress from data to meaningful impact. You will have the opportunity to guide global companies through data science solutions, helping them transform and enhance performance across industries including healthcare, automotive, energy, and elite sports. Real-World Impact: You ll gain unique learning and development opportunities globally. Fusing Tech & Leadership: Work with the latest technologies and methodologies, with access to top-tier learning programs. Multidisciplinary Teamwork: Collaborate with data scientists, engineers, project managers, UX designers, and more to enhance performance. Innovative Work Culture: Creativity, passion, and wellness are central to our modern work environment, which includes insightful talks, training sessions, and a focus on work-life balance. Striving for Diversity: We celebrate diversity, with colleagues from over 40 nationalities, appreciating the value that diverse perspectives bring to the workplace. You are a highly collaborative individual who prioritizes impact over agenda. You enjoy learning from colleagues, challenging ideas thoughtfully, and working together to improve processes and solve problems. You believe in iterative change, experimenting with new approaches, and advancing quickly through constant learning and improvement. While we value using the right tech for the right task, our team often leverages technologies such as Python, PySpark, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions like AWS, GCP, and Azure. Your Role as a Data Engineer Collaboration: Work with business stakeholders, data scientists, and internal teams to create extraordinary, domain-focused data products (reusable assets) and deliver them to clients. Domain Expertise: Develop deep understanding of client industries and use creative techniques to deliver meaningful impact. Technical Platforms: Build and maintain technical platforms for advanced analytics engagements, spanning both data science and data engineering work. Data Pipelines: Design and implement robust, modular, scalable, deployable, and reproducible data pipelines for machine learning. Data Management: Ensure the security of data environments and compliance with information security standards. Data Wrangling: Assess data quality, map data fields to hypotheses, and prepare data for analytics models. Contribute to R&D: Participate in internal asset development and contribute to R&D projects to drive innovation. Cross-functional Problem Solving: Collaborate with internal teams and clients, including data owners and C-level executives, to create impactful analytics solutions. Your Qualifications and Skills Bachelor s degree in computer science or related field; Master's degree is a plus. 2-5 years of relevant work experience. Proficiency in at least one programming language such as Python, Scala, or Java. Strong experience with distributed processing frameworks (e.g., Spark, Hadoop, EMR) and SQL. Experience in commercial client-facing projects, particularly in close-knit teams. Ability to work with structured, semi-structured, and unstructured data, and identify linkages across disparate data sets. Clear communication skills to explain complex solutions effectively. Understanding of information security principles to ensure compliant handling of client data. Experience with cloud platforms (AWS, Azure, Google Cloud, Databricks) is highly desirable. Experience with CI/CD processes using GitHub Actions, CircleCI, or similar, and end-to-end pipeline development including application deployment is a plus. Qualification : Bachelors degree in computer science or related field; Master's degree is a plus.