Advanced Analytics Engineer Jobs in Pune

Data Engineer BI Analytics & DWH Location: Pune About Calfus At Calfus, we develop cutting-edge AI agents and software products that enable businesses to unlock the full potential of AI transforming operations, boosting revenue, and driving innovation. From startups to global enterprises, our clients trust us to deliver engineering excellence. Our teams have built ERP and cloud solutions that integrate seamlessly with core business systems, streamlining manual processes and empowering teams to focus on high-impact work. As one of the fastest-growing companies in our sector, we thrive on collaboration, speed, and innovation. If you re driven by impact and love working in fast-paced environments, we want to hear from you. About the Role We re looking for a Data Engineer with 3 4 years of experience to join our Business Intelligence & Data Warehouse team. In this role, you'll be responsible for building robust data pipelines, designing scalable data models, and supporting analytics and reporting capabilities. You will work with modern tools like Azure Data Factory, Databricks, and Snowflake, and help deliver reliable, performant data infrastructure for internal and client-facing initiatives. What You ll Do ETL/ELT Development Build and maintain efficient ETL/ELT pipelines using Azure Data Factory, Databricks, or equivalent. Ingest and consolidate data from multiple sources into data warehouses or data lakes. Data Modeling & Warehousing Design and implement relational and dimensional models suited for business reporting. Work with databases such as Snowflake, Redshift, Postgres, or SQL Server. SQL & Database Engineering Write performant SQL queries, stored procedures, and scripts for data transformation. Implement complex joins and aggregations for analytical workloads. BI & Visualization Support Collaborate with business users to support reporting in Power BI or Tableau. Enable data-driven decisions through accessible and accurate data models. Performance & Data Quality Monitor pipeline jobs for failures, performance issues, and delays. Apply data validation checks to ensure the integrity and accuracy of data. Bachelor s degree in Computer Science, Data Engineering, Information Systems, or related field. 3 4 years of hands-on experience in data engineering, with strong skills in ETL/ELT, SQL, and data modeling. Experience with cloud platforms (Azure, AWS) and tools like: Azure Data Factory Databricks SQL Server, Postgres, Redshift, or Snowflake Basic understanding of Python for scripting and automation. Familiarity with file formats like JSON, Parquet, and CSV. Exposure to BI tools such as Tableau or Power BI (nice to have). Benefits @ Calfus Medical, group, and parental insurance Provident fund & gratuity Birthday leave and wellness support High-growth, high-impact environment Diversity & Inclusion Calfus is proud to be an Equal Opportunity Employer. We believe that diversity drives innovation, and we are committed to fostering an inclusive, supportive, and respectful environment for all. Qualification : Bachelors degree in Computer Science, Data Engineering, Information Systems, or related field

Data Engineering Lead BI Analytics & DWH Location: Pune About Calfus At Calfus, we build groundbreaking AI agents and enterprise software that are redefining what s possible for businesses. Whether it's automating workflows, integrating ERP systems, or deploying AI-powered solutions, we help companies scale smarter and faster. Our engineering and data teams are at the core of this innovation designing and delivering high-performance solutions that unlock massive business value. As we grow rapidly, we re looking for driven individuals ready to make a meaningful impact. About the Role We re hiring a Data Engineering Lead to own and drive our BI Analytics & Data Warehousing strategy. You'll lead the architecture, development, and optimization of data pipelines, models, and interactive dashboards that power strategic insights across the business. You ll work hands-on with ETL tools, SQL, Power BI, Tableau, Python, and cloud platforms like Azure and AWS while mentoring junior engineers and collaborating with cross-functional stakeholders. What You ll Do Data Architecture & Modeling Design and implement scalable data models that support self-service BI and analytical reporting. Manage data modeling across structured, semi-structured, and cloud-native data sources. ETL/ELT & Integration Oversee ETL processes using SSIS, Airflow, or equivalent tools for seamless data movement. Handle complex data transformation using SQL Server, Postgres, Snowflake, and Redshift. Visualization & Reporting Develop and lead dashboard/report design using Power BI, Tableau, QuickSight, Plotly, or Dash. Drive best practices in dashboard performance, UX, and storytelling with data. Advanced Data Engineering Use Python, PySpark, NumPy, and Pandas for data wrangling and exploratory analysis. Work with Azure Databricks, MongoDB, and cloud storage (S3, Azure Blob) to build robust pipelines. Automation & DevOps Orchestrate pipelines using Apache Airflow, and implement CI/CD for data engineering workflows. Manage version control and code quality across projects using Git-based workflows. Stakeholder Collaboration Partner with business leaders and analysts to translate requirements into scalable data solutions. Align technical delivery with strategic business goals and drive cross-functional data initiatives. Leadership & Mentorship Guide and mentor junior team members across data and BI functions. Foster a culture of innovation, ownership, and continuous learning. What You Bring Bachelor s in Computer Science, Information Systems, Data Engineering, or related field. 6 12 years of experience in BI architecture, data engineering, and analytics. Deep expertise in: ETL tools: SSIS, Airflow Databases: SQL Server, Snowflake, Postgres, Redshift, MongoDB BI Tools: Power BI, Tableau, QuickSight, Plotly/Dash Python for data analysis, automation, and pipeline development Cloud Platforms: Azure, AWS (S3, Lambda, Databricks) Strong SQL and data modeling skills (relational and dimensional). Familiarity with CRISP-DM, data governance practices, and performance tuning. Bonus Points If You Have Experience working with Azure SDK. Ability to work with REST APIs and perform web scraping. BI architecture design and deployment at scale. Growth-driven culture with clear career paths. Work on industry-defining AI and enterprise products. Exposure to diverse clients, industries, and technologies. Strong focus on wellness, flexibility, and learning. Benefits Medical, group, and parental insurance Provident fund & gratuity Birthday leave & employee wellness programs Highly collaborative and innovative work environment Diversity & Inclusion Calfus is an Equal Opportunity Employer. We believe that diversity fuels innovation. We re committed to creating a welcoming and inclusive workplace for everyone regardless of race, gender, age, background, or identity. Lead the future of data at Calfus. Apply now and help power decision-making through scalable, smart, and stunning data engineering solutions. Qualification : Bachelors in Computer Science Information Systems, Data Engineering, or related field

Job Title: Senior Advanced Technical Services Engineer Location: Pune Experience: 5+ Years Company: TraceLink Department: Advanced Technical Services Company Overview: At TraceLink, we are transforming the global pharmaceutical supply chain to protect patients and ensure the availability of safe medicines worldwide. Our Opus Platform and innovative software solutions empower pharmaceutical companies to digitize operations, improve visibility, ensure compliance, and collaborate more effectively across complex global networks. Founded in 2009, TraceLink operates in 8 global offices, with 800+ employees, and serves 1,300+ customers across 60+ countries. Recognized by Gartner, IDC, and Comparably, we are proud to be a trusted industry leader and a great place to work. Position Overview: We are looking for an experienced and highly skilled Senior Advanced Technical Services Engineer to join our Pune-based team. As a senior member of the Advanced Technical Services team, you will lead technical issue resolution efforts, support internal tooling and data repair processes, and act as a technical mentor to the broader Technical Support organization. This role combines strong technical proficiency, problem-solving ability, and excellent interpersonal communication, playing a key role in enhancing customer satisfaction and internal team capabilities. Key Responsibilities: Resolve complex technical issues by working directly with TraceLink products and collaborating with internal teams to create custom solutions or internal tools Serve as a technical mentor and advisor to Technical Support Engineers Lead the triage, prioritization, and execution of customer data repair requests Create, maintain, and support scripts and tooling to enhance team productivity Act as a recognized Subject Matter Expert (SME) for 3 4 core TraceLink applications Document technical processes and deliver training to internal support teams Advocate for customer needs by collaborating with Product, Engineering, and other cross-functional teams to drive product improvements Analyze and troubleshoot application logs, errors, and complex integrations Skills and Competencies: Proficient in XML, JSON, CSV reading, parsing, and manipulation Working knowledge of scripting languages such as Perl, Python, Shell scripting Strong debugging and log analysis skills Ability to propose and evaluate multiple solutions to technical problems Understanding of B2B integration technologies such as AS2, SFTP, Web Services Extensive experience with tools including Microsoft Office, Google Workspace, Salesforce, Slack, and collaboration platforms Excellent verbal and written communication skills; strong documentation practices Highly self-motivated, with proven time management and project coordination skills Experience in mentoring, coaching, and cross-functional collaboration Proven ability to lead team efforts and resolve high-impact customer issues Strategic thinker who contributes to the continuous improvement of support processes Essential Qualifications: Bachelor s degree in Computer Science, Information Technology, or related field (or equivalent experience) Minimum 5+ years of experience in a technical customer-facing role, preferably within SaaS or enterprise software companies Strong understanding of UNIX/Linux environments and Java-based applications Working knowledge of ERP systems Fluent in written and spoken English (additional languages a plus depending on region) What You'll Gain: Opportunity to work on mission-critical systems that impact global patient safety Collaborate with a global team in a dynamic, high-growth company Mentorship opportunities and career development in advanced technical roles Work in an environment that values innovation, ownership, and teamwork If you're passionate about solving complex technical challenges, mentoring others, and making a meaningful impact in the life sciences sector, we invite you to join us at TraceLink. Qualification : Bachelors degree in Computer Science, Information Technology, or related field (or equivalent experience)

Position: Project Engineer MEP Costing Location: Pune Job Type: Full-Time Company: vConstruct (a DPR Construction Company) About vConstruct At vConstruct, we are redefining construction by building better, smarter, and faster. As a team of over 480 construction technology professionals, we partner globally to deliver services in Virtual Design & Construction (VDC), Project Controls, Cost Estimation, Data Analytics, and more. A subsidiary of DPR Construction, we support complex, large-scale projects across industries such as healthcare, life sciences, commercial, data centers, higher education, and advanced tech. On any given day, our work impacts 100+ construction projects worldwide. Role Overview We are seeking an experienced MEP Estimating Engineer to join our Costing Cluster as a Project Engineer MEP Costing. You will be responsible for reviewing project design documents (2D/3D), quantifying MEP scopes (HVAC, Plumbing, Electrical, Fire Protection, etc.), and developing detailed cost estimates for high-value global construction projects. This role requires a solid understanding of building systems, particularly MEP, and the ability to work with both local and international project teams. Key Responsibilities Prepare accurate quantity takeoffs and cost estimates using CSI Uniformat and MasterFormat coding standards. Review and interpret design drawings, specifications, RFIs, and BIM models to identify scope and discrepancies. Perform quantification across HVAC, plumbing, piping, fire protection, electrical, and low-voltage systems. Leverage 3D models (Revit, etc.) to enhance or directly extract quantity estimates. Build 3D models from 2D drawings when necessary to support estimation. Analyze design version changes and clearly communicate their cost impact. Collaborate closely with U.S.-based estimators to align on project deliverables and expectations. Proactively communicate via email and virtual meetings with global project teams. Understand and execute new workflows, platforms, and estimation processes; document and train others as needed. Support cross-functional construction estimating work beyond core MEP scopes. Requirements & Qualifications Bachelor s or Master s degree in Mechanical or Electrical Engineering (preferably with a specialization in Quantity Surveying). Minimum 2 years of experience in building construction, with a strong focus on MEP estimation. Knowledge of construction systems in sectors such as hospitals, commercial offices, data centers, manufacturing, or life sciences is preferred. Familiarity with US, European, or Indian construction documents and terminology. Working knowledge of quantification and estimation software such as Revit, Assemble, CostX, OST, or Planswift. Proficiency in Microsoft Excel and general data management for cost tracking. Strong analytical, communication, and collaboration skills. Proactive, self-driven, and capable of working independently with minimal supervision. Work on high-impact, cutting-edge global construction projects. Be part of a forward-thinking, inclusive, and collaborative team culture. Opportunity to grow with an industry leader in construction technology and virtual design. Learn continuously through exposure to global best practices and cross-functional training. Our Core Values Integrity is Integral People are Pivotal Ever Forward Spirit If you re passionate about MEP systems, cost estimation, and driving innovation in construction, we d love to hear from you. Qualification : Bachelors or Masters degree in Mechanical or Electrical Engineering (preferably with a specialization in Quantity Surveying)

Position: Senior Data Engineer Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on leveraging data science and analytics to transform the construction industry. Our Data Science and Analytics team is a close-knit group dedicated to supporting the business with robust data infrastructure and insightful analysis. Role Overview We are seeking a highly experienced Senior Data Engineer to lead the design, development, and maintenance of scalable data pipelines and infrastructure. This role involves working closely with cross-functional teams to manage diverse data sources, ensure data integrity, and support data-driven business initiatives. Key Responsibilities Lead the design and development of scalable, high-performance data pipelines and ETL/ELT frameworks following modern data engineering best practices. Architect complex data integration workflows that unify structured, semi-structured, and unstructured data from cloud and on-premise sources. Develop robust real-time, batch, and on-demand data pipelines equipped with monitoring, alerting, and automated error handling. Collaborate with analysts, data scientists, and business leaders to create reliable data models, quality frameworks, and SLAs. Ensure optimal pipeline performance, throughput, and proactive issue resolution. Work with platform, DevOps, and architecture teams to build secure, reusable, and CI/CD-enabled data workflows aligned with enterprise standards. Enforce best practices in source control, code reviews, testing automation, and continuous delivery. Lead root cause analysis and preventive maintenance to minimize business impact from data failures. Establish standards for data modeling, transformation logic, and governance. Design and execute comprehensive testing strategies to ensure data reliability and pipeline resilience. Optimize pipeline and query performance for scalability, reliability, and cost-efficiency. Maintain detailed technical documentation including architecture diagrams, process flows, and integration specs. Facilitate discussions with business and operational teams to prioritize data initiatives and drive strategy. Qualifications 7-10 years of hands-on experience in data engineering with a track record of building scalable and secure data platforms. 5+ years of scripting experience in Python for data processing, automation, and ETL development. 4+ years experience with Snowflake, including performance tuning, security, and advanced SQL. 5+ years experience with data integration tools like Azure Data Factory, Fivetran, or Matillion. 5+ years writing complex, optimized SQL queries on large datasets. Proven experience integrating APIs, JSON, XML, and webhooks for data acquisition. Hands-on experience with cloud platforms (Azure/AWS) and orchestration tools such as Apache Airflow. Experience with CI/CD pipelines, automated testing, and code versioning tools (e.g., Git). Familiarity with dbt or similar transformation tools and modular development practices. Experience with data visualization tools like Power BI is a plus. Strong interpersonal and communication skills to lead cross-functional technical discussions. Education Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. Equivalent academic and professional experience will also be considered. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field

Position: Senior Data Scientist Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on revolutionizing the construction industry through advanced AI and ML solutions. Our Data Science and Analytics team comprises Data Scientists, AI Engineers, Data Analysts, and Data Engineers working collaboratively to drive innovation across all construction project phases from pre-construction to post-construction. Our mission is to harness the power of data and AI to improve predictability, automate processes, and enhance efficiency in construction domains such as scheduling, planning, supply chain, safety, quality control, site management, financials, and virtual design construction. Role Overview We are seeking a highly skilled Senior Data Scientist to lead the development of innovative AI and machine learning solutions focused on construction data. You will work on cutting-edge projects involving Computer Vision, Predictive Analytics, Generative AI, and Large Language Models (LLMs) using technologies such as MS Azure AI Services, OpenAI, and various ML frameworks. Key Responsibilities Collaborate strategically with cross-functional teams to identify and solve business problems through scalable AI/ML solutions. Analyze construction project data to develop predictive models using traditional methods and generative AI. Apply machine learning algorithms to enhance project execution, safety, risk assessment, and other core construction processes. Lead end-to-end development of scalable predictive and ML models, including hypothesis generation, development, deployment, and monitoring. Build, validate, and optimize machine learning and statistical models; review and quality control models developed by junior team members. Partner with engineering and business teams to deeply understand data, processes, and business requirements, and implement appropriate solutions. Stay updated on advances in data science and machine learning to continuously enhance vConstruct s capabilities. Use statistical techniques to detect anomalies and optimize workflows to ensure timely, cost-effective project delivery. Collaborate with product managers and business leaders to drive data-driven decision-making and communicate insights effectively. Visualize insights using BI tools to support stakeholders in understanding data outcomes. Key Projects Include Developing GPT-based language models customized for construction industry data (structured and unstructured). Utilizing computer vision for object detection on 2D drawings and 3D BIM models. Applying statistical frameworks to predict construction site losses, win/loss opportunities, and quantity forecasts. Integrating AI models deeply into construction operations to automate and improve efficiency. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 8-10 years of professional experience, including at least 6 years in data science, machine learning, and analytics. Proven track record of delivering impactful, production-ready AI/ML solutions. Experience managing multiple projects in fast-paced, dynamic environments. Strong business acumen with the ability to translate technical insights into actionable business strategies and communicate effectively with stakeholders. Experience with construction data or related industries (engineering, manufacturing) is a plus. Technical Skills Expertise in Python, R, or Scala programming. Proficiency with ML, AI, and statistical frameworks and libraries such as TensorFlow, PyTorch, scikit-learn. Strong experience in predictive analytics, clustering, classification, regression, and multivariate techniques. Hands-on experience with data visualization tools such as Tableau, Power BI, Matplotlib. Familiarity with cloud platforms (preferably Azure), Azure ML Services, and Snowflake is a plus. Strong SQL skills and experience working with relational databases. Knowledge of NLP and Computer Vision technologies is advantageous. If you re passionate about transforming the construction industry through AI/ML innovation and want to work with a talented, motivated team, apply now to join vConstruct s visionary journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field

Tableau Architect Location: Pune Role Overview: We are looking for an experienced Tableau Architect to lead the design, development, and optimization of scalable data visualization solutions. The ideal candidate will bring deep expertise in Tableau, strong data architecture skills, and a passion for mentoring and guiding teams. You will play a pivotal role in delivering impactful analytics and ensuring best practices are followed across the organization. Key Responsibilities: Lead and mentor junior Tableau developers and analysts in Pune, fostering skill development and enforcing adherence to data visualization best practices. Architect, design, and implement scalable, high-performing Tableau dashboards and data models to support business analytics needs. Optimize Tableau environments to ensure efficient performance with large datasets and complex visualizations. Guide and support data integration efforts from diverse data sources into Tableau, ensuring data consistency and reliability. Conduct training sessions, hands-on workshops, and provide one-on-one mentorship to upskill team members. Collaborate with cross-functional teams including data engineers, business analysts, and IT to align on data and reporting requirements. Troubleshoot and resolve technical issues related to Tableau workbooks, data connections, and server performance. Create and maintain clear, user-friendly documentation for internal and external stakeholders, including architecture diagrams, user guides, and training materials. Technical Skills: Advanced proficiency in Tableau Desktop, Tableau Prep, and Tableau Server. Strong background in data modeling, ETL processes, and data architecture. Expertise in SQL and experience working with relational databases (e.g., SQL Server, Oracle). Hands-on experience in data integration from multiple sources and ensuring data quality. Proven ability to optimize dashboard performance for speed and responsiveness with large-scale datasets. Familiarity with cloud platforms such as AWS or Azure for data storage and analytics. Soft Skills & Additional Requirements: Experience in training and mentoring junior analysts, with a focus on building local talent in Pune. Excellent communication skills, especially when working with distributed and cross-functional teams. Strong problem-solving abilities to diagnose data and performance issues effectively. Commitment to producing high-quality documentation and reusable templates.

Position: Junior Engineer Tool Design (Progressive Stamping / Press Tool) Location: Pune, Maharashtra, India Employment Type: Full-Time Company: RENATA Precision Components Pvt. Ltd. Experience Required: 2 4 years Industry: Plastic Injection Moulding & Automotive Components Company Overview RENATA Precision Components Pvt. Ltd. is a trusted manufacturer of high-precision plastic injection moulded components serving the automotive and other engineering industries. We are committed to delivering quality and innovation through continuous improvement and advanced engineering practices. Position Overview We are looking for a Junior Engineer Tool Design (Progressive Stamping) with hands-on experience in designing press tools. The ideal candidate will assist in 3D and 2D tool design, collaborate with senior designers and tool room teams, and contribute to the successful execution of tooling projects. Key Responsibilities Prepare 3D and 2D designs for press tools and progressive stamping dies. Collaborate with senior designers and the tool room team to document lessons learned from previous projects. Create detailed 2D drawings and perform cross-checks to ensure accuracy. Support root cause analysis for design-related issues and assist in implementing corrective actions. Adhere to project time plans and maintain timely documentation throughout the design phase. Follow and maintain 5S standards in the workplace. Ensure compliance with design and quality standards throughout the project lifecycle. Qualifications & Experience Diploma or BE in Mechanical Engineering. 2 4 years of experience in press tool / progressive stamping tool design. Required Skills Solid understanding of tool design principles and manufacturing processes. Proficiency in 3D and 2D CAD software (e.g., AutoCAD, SolidWorks, UG NX, or similar). Basic knowledge of design documentation and GD&T. Strong attention to detail, ability to multi-task, and meet project deadlines. Good knowledge of MS Office (Word, Excel, PowerPoint, Email, Internet). Effective communication and collaboration skills. Join RENATA to work alongside talented engineers in a fast-paced and innovation-driven environment. We support career development, offer hands-on project exposure, and foster a culture of teamwork and continuous improvement.

Solution Architect Location: Pune Experience: 10+ Years Job Type: Full-Time Profile Summary A highly skilled and experienced Solution Architect with over a decade in the IT service industry, specializing in designing and delivering comprehensive technical solutions across diverse domains. Expert in leading complex projects and aligning technology with business goals, leveraging cutting-edge technologies such as AI, cloud computing, and software development. Proven success in collaborating with cross-functional teams to architect scalable, secure, and efficient solutions for clients across healthcare, finance, real estate, and e-commerce sectors. Key Expertise Solution Design & Architecture: Architecting end-to-end scalable, high-performance, and secure solutions aligned with business objectives. Software Development: Expertise in full-stack development with React (frontend) and Python Django (backend), delivering enterprise-grade applications. AI Integration: Implementing AI-driven solutions including Generative AI, machine learning, and predictive analytics to automate processes and enhance decision-making. Cloud Architecture: Designing and deploying cloud solutions on AWS, Azure, and Google Cloud, with deep experience in migration, infrastructure design, and DevOps. Data Management & Analytics: Leveraging data management platforms and real-time analytics for business intelligence and audience targeting. Security & Compliance: Ensuring data security and regulatory compliance (HIPAA, GDPR) in solution designs. Experience Highlights AI and Generative AI Solutions Led design and implementation of AI-powered models for content generation, predictive analytics, and real-time decision-making in healthcare and finance. Integrated AI functionalities into business applications to improve operational efficiency and user experience. Cloud Solutions Design Architected cloud infrastructures optimizing cost, security, and performance across AWS, Azure, and Google Cloud. Directed cloud migrations and implemented cloud-native services including serverless computing, container orchestration (Docker, Kubernetes), and CI/CD pipelines. Full-Stack Software Development Led teams building scalable web applications using React and Python Django. Designed microservices and REST APIs ensuring seamless integration and optimized security. Data Management & Analytics Delivered data management platforms for audience segmentation in AdTech and e-commerce. Developed real-time bidding and programmatic advertising systems integrating advanced analytics. Telemedicine & Healthcare Solutions Designed secure, compliant telemedicine platforms integrating EHR systems, ensuring HIPAA and GDPR adherence. Developed patient data management systems focusing on security and regulatory compliance. Technical Skills Languages: JavaScript, Python, HTML/CSS, SQL, TypeScript Frameworks: React, Node.js, Django, Flask AI/ML: TensorFlow, PyTorch, GPT models, Generative AI, Predictive Analytics Cloud Platforms: AWS, Azure, Google Cloud, Docker, Kubernetes Data Management: PostgreSQL, MySQL, MongoDB, Data Lakes, DMPs Security: SSL, Firewalls, IAM, Data Encryption, HIPAA, GDPR compliance DevOps: Jenkins, Git, Docker, Kubernetes, CI/CD Pipelines Soft Skills Strong leadership and collaboration with cross-functional teams. Strategic thinker balancing innovation with business objectives. Excellent client engagement and communication. Problem-solving under tight deadlines with innovative solutions. Certifications AWS Certified Solutions Architect Certified Kubernetes Administrator (CKA) Certified in Generative AI Applications Microsoft Certified: Azure Solutions Architect Expert

Job Title: Senior Staff Software Engineer (Foundation) Company: Druva Location: Pune, India About Druva: Druva empowers organizations with cyber, data, and operational resilience through the Data Resiliency Cloud the industry s first and only SaaS solution at scale. Our platform simplifies data protection, streamlines governance, and provides unparalleled data visibility and insights, enabling customers to accelerate cloud adoption. Trusted by thousands of enterprises, including 60 of the Fortune 500, Druva eliminates complex infrastructure and management costs by delivering data resilience through a single platform spanning multiple geographies and cloud environments. About the Role: The Foundation team at Druva designs and develops a highly scalable, petabyte-scale distributed cloud file system built on AWS. This service-oriented system handles critical features such as file system metadata management, versioning, and eventual consistency using AWS services like S3, DynamoDB, and Kinesis. Beyond the core file storage engine which supports backup storage for all Druva products the team builds and maintains allied components like indexing engines, key-value stores, and big data pipelines to enable scalable search, analytics, and compliance capabilities. As a Senior Staff Software Engineer, you will collaborate closely with cross-functional teams, architects, and DevOps to define high-level and low-level designs (HLD/LLD) for advanced data security and management services. You will stay abreast of emerging trends in data security, platforms, technologies, and APIs, applying these insights to enhance existing features and develop new capabilities. You will also mentor and guide junior engineers, fostering a culture of high-quality, high-velocity software development. Key Skills & Experience: 5 to 7 years of experience building enterprise-grade software products. Expertise in designing and implementing SaaS solutions at scale. Proficiency in Python or Golang for software development. Deep knowledge and hands-on experience with cloud storage and data management systems. Proven experience building storage systems focused on securing and protecting data at scale, including managing data and metadata. Prior experience working on data protection products is highly desirable. Familiarity with cloud platforms such as AWS and Azure is a plus. Strong hands-on developer with excellent communication and collaboration skills. Ability to influence architecture, design, and implementation for timely delivery of business outcomes. Desirable: Strong written and verbal communication skills. Experience with Agile methodologies (Scrum). In-depth knowledge of AWS cloud technologies. Responsibilities: Collaborate with architects, developers, and DevOps to define HLD and LLD for data security and management services and features. Monitor and evaluate emerging trends in data security, management platforms, technologies, and APIs to refine and develop features. Lead the integration of data management tools and applications to enhance product quality and user experience. Promote best practices and principles of high-quality SaaS software development. Mentor and train junior engineers on data management, security principles, and agile development methodologies. Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field (Advanced degree preferred). Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field (Advanced degree preferred).

Senior Specialist, Technical Product Management | Pharmaceutical & Life Sciences | Pune, India | Merck & Co. Job Overview: Merck & Co. is seeking a Senior Specialist in Technical Product Management to join our Human Health Digital, Data, and Analytics (HHDDA) division in Pune. In this role, you will play a pivotal part in developing and activating advanced internal forecasting products aimed at optimizing the delivery of medicines to patients. You will collaborate with product management and product delivery teams to build relationships with internal customers, train activation teams, measure product success, and represent customer needs in product development. The ideal candidate will have strong leadership skills, a deep understanding of healthcare and technology, and a passion for product development. As a domain expert in Pharma, you will guide product strategies, inspire innovation, and help drive a growth mindset within the team. Key Responsibilities: Analyze business processes, user needs, and stakeholder challenges to inform product development decisions. Forecasting Expertise: Use your experience with pharma forecasting, including time-series analysis, stochastic simulation, and optimization, to drive product decisions. Voice of Customer: Act as the bridge between internal stakeholders and technical teams, ensuring the customer s voice influences product development. Collaboration & Communication: Work with cross-functional teams to define product requirements, document detailed business needs, and evaluate product features for future development. Product Strategy: Adapt product strategies and roadmaps based on market feedback and evolving customer needs. Leadership: Guide product teams, provide mentorship, and ensure alignment across product management and delivery leads. Innovative Thinking: Stay updated on industry trends in pharma, forecasting technologies, and analytics to propose new features that provide business value. What You Will Achieve: Within 3 Months: Understand the product suite and its objectives. Familiarize yourself with processes, workflows, tools, and company culture. Develop relationships with stakeholders and teams, participating in knowledge-sharing sessions and product ceremonies. Within 6 Months: Collaborate on defining business requirements for upcoming product features. Conduct gap analysis between current and desired outcomes, identifying areas for product enhancement. Within 9 Months: Represent the voice of the customer in product planning, helping to propose, prioritize, and evaluate new product features and improvements. Required Qualifications & Skills: Bachelor s Degree in Computer Science, Engineering, or an MBA (relevant certifications are a plus). 3+ years of experience in a lead product management role within the pharmaceutical or life sciences industry, with 10+ years of total experience in product management or related fields. Expertise in Pharma Forecasting: Applied experience with time-series forecasting, stochastic simulation, and optimization techniques. Experience in designing and developing embedded reporting, dashboards, and visualizations to communicate product data effectively. Strong communication and presentation skills for conveying complex concepts to stakeholders at all levels of the organization. Ability to lead and collaborate with cross-functional teams, driving product initiatives from conception to launch. Preferred Experience: Experience with advanced analytics platforms and data-driven decision-making in healthcare and pharma. Ability to thrive in a fast-paced, dynamic environment with shifting priorities. Location: Pune, India Flexible Hybrid Work Arrangements Visa Sponsorship Available At Merck & Co., we believe in driving data-driven innovation to improve healthcare outcomes globally. As a Senior Specialist in Technical Product Management, you will have the opportunity to shape the future of healthcare technology by contributing to cutting-edge forecasting tools that empower teams to make data-driven decisions. If you are passionate about product management, forecasting, and pharmaceutical innovations, this is your chance to make a significant impact. Qualification : Bachelors Degree in Computer Science, Engineering, or an MBA (relevant certifications are a plus).

About Talentica Software: Talentica Software is a specialized software development firm founded by seasoned industry experts and alumni of IIT Bombay. We partner with startups to create innovative products, using cutting-edge technologies to address real-world challenges. With over 21 years of experience, we have collaborated with more than 180 startups, primarily in the U.S., contributing to many successful exits. In 2022, Talentica Software was honored as one of India s Great Mid-Size Workplaces by Great Place to Work. What We re Looking For: We are seeking a motivated Data Analyst to join our growing team. If you're passionate about working with SQL, BigQuery, Tableau, and MongoDB, and enjoy optimizing data ecosystems, we d love to hear from you! In this role, you will play a key part in managing and enhancing our data infrastructure, working across SQL (Oracle), BigQuery, Tableau, and NoSQL databases like MongoDB. You'll also help build our Lakehouse architecture and ensure data accuracy while supporting the scalability of our platform. Your Responsibilities: Develop, optimize, and maintain SQL queries to support efficient data delivery for Tableau reports. Write and refine complex queries for Oracle and BigQuery databases to meet business reporting needs. Utilize MongoDB to query semi-structured data for analytics and reporting. Collaborate with BI developers and analysts to streamline data workflows and enhance report accuracy. Design and manage ETL/ELT pipelines for smooth data ingestion and transformation. Work with cross-functional teams to identify and implement improvements in data workflows. Troubleshoot and resolve data issues as they arise. Contribute to the early-stage development of our Lakehouse architecture. Prepare existing data workflows for seamless integration with modern cloud platforms. Stay current with emerging data technologies and contribute to ongoing modernization efforts. Perform data validation and reconciliation to ensure consistency across multiple data sources. Collaborate with data analysts and business stakeholders to resolve data discrepancies. Support data quality assurance initiatives and establish best practices for data reliability. What You ll Need to Succeed: Qualifications: A BE/BTech in Computer Science, Data Engineering, or a related field from a prestigious institution (IIT, NIT, BITS, etc.). Experience: At least 5 years of experience in SQL development and managing data pipelines. Technical Skills: Advanced SQL skills, including performance tuning and query optimization. Strong understanding of ETL/ELT processes and experience with data transformation. Hands-on experience with relational databases (Oracle, BigQuery) and NoSQL (MongoDB). Proficiency in Python or other scripting languages for automation. Familiarity with cloud platforms (AWS, GCP, Azure) is a plus. Experience with BI tools like Tableau is highly desirable. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to manage multiple tasks independently in a fast-paced environment. What We Offer: Innovative Culture: We focus on cutting-edge development, not routine maintenance work. Our team thrives on staying ahead with the latest technologies. Continuous Learning: At Talentica, you ll find abundant opportunities to grow and keep up-to-date with the latest trends in technology. Brilliant Peers: Work alongside talented professionals from top engineering colleges (IITs, NITs, and more). Work-Life Balance: Enjoy flexibility with remote work options and adaptable schedules. Supportive Environment: 82% of our employees recommend Talentica to their peers (according to Glassdoor), thanks to our positive, collaborative work culture. Recognition & Rewards: Your hard work will be celebrated, with a culture that recognizes and appreciates your contributions. If you re excited about the prospect of working with a team of bright professionals and advancing your career, we d love to hear from you. Ready to make an impact? Apply today, and let s connect! Qualification : BE/BTech in Computer Science, Data Engineering, or a related field from a top-tier institution (IIT, NIT, BITS, etc.).

Data Engineer - Media & Advertising Sector - Job Description We are looking for an experienced Data Engineer to join our team and drive business outcomes in the media and advertising sector. In this role, you will leverage advanced data technologies to design and implement comprehensive data strategies that focus on scalability, performance optimization, and secure data management. Successful candidates will have hands-on experience with Big Data technologies and machine learning models, as well as a deep understanding of the advertising domain and its data needs. Technical and Professional Requirements: Big Data Technologies: Proficiency with platforms such as BigQuery, Big Data, Hadoop, and Snowflake for managing and processing large-scale datasets. Programming/Scripting Languages: Strong experience in programming languages like Python, Java, or Go for developing data solutions. Machine Learning Models: Hands-on experience defining and implementing various Machine Learning models to address diverse business requirements. Data Scalability & Performance: Practical experience in handling performance and data scalability challenges to ensure efficient data processing and storage. Advertising Domain Knowledge: Familiarity with advertising data and experience working with datasets such as Campaign Performance, Ad Performance, Attribution, and Audience Data. Job Responsibilities: Data Strategy Design: Develop a comprehensive data strategy that aligns with business objectives. This includes designing data models, establishing database development standards, and managing data warehouses and data analytics systems. Data Source Identification: Identify internal and external data sources and create a plan for managing these data sources according to the overall business data strategy. Cross-Functional Collaboration: Work with various teams (engineering, product, analytics, etc.) to ensure the smooth functioning of the enterprise data system, facilitating cross-departmental cooperation. End-to-End Data Architecture: Manage the end-to-end data architecture process, from selecting the platform and designing technical architecture to developing applications, and finally testing and implementing the solution. Big Data Solution Planning: Plan and execute big data solutions using technologies like BigQuery, Big Data, Hadoop, and Snowflake. Data Accessibility & Security: Integrate technical functionality that ensures data accessibility, accuracy, and security throughout the data lifecycle. Educational Requirements: Any Graduate with 60% and above in your academic background. This position is ideal for someone who is passionate about data engineering and eager to tackle complex challenges in the media and advertising sector. If you're looking to drive innovation, work with cutting-edge technologies, and collaborate across teams, we would love to hear from you! Qualification : Any Graduate with 60% and above in your academic background.

Job Description: Essential Job Functions: Collaborate with the software development team to design, code, and test software solutions, with a focus on developing and maintaining critical components. Work with senior team members to meet project requirements and deadlines, actively participating in design and code reviews. Contribute to troubleshooting and problem-solving in software development, diagnosing and resolving complex technical issues. Participate in the development and documentation of software requirements and specifications. Debug and resolve complex production issues, working closely with senior engineers and support teams. Stay updated on emerging technologies and best practices, researching and proposing innovative solutions. Assist in mentoring and guiding junior team members, sharing knowledge and expertise. Take ownership of challenging technical tasks and collaborate on architectural decisions. Basic Qualifications: Bachelor's degree in a relevant field (i.e., Computer Science) or equivalent combination of education and experience Typically, 4+ years of relevant work experience in industry, with a minimum of 1+ years in a similar role years of relevant software engineering experience Proficiency in 1 or more software languages and development methodologies Proficiency in coding and debugging complex software components Familiarity with software development practices and methodologies Strong problem-solving and analytical skills Effective communication and teamwork abilities Eagerness to learn and adapt to challenging technical tasks Other Qualifications: Advanced degree in a related field is a plus Relevant certifications or training a plus Qualification : Bachelor's degree in a relevant field (i.e., Computer Science) or equivalent combination of education and experience

Data Engineer IBM Consulting About the Role Join us at IBM Consulting in one of our Client Innovation Centers, where we deliver specialized technical and industry expertise to both public and private sector clients worldwide. Our centers bring local skills and technical capabilities to help clients drive innovation and adopt cutting-edge technologies. A career at IBM Consulting is built on fostering long-term relationships and collaborating closely with clients around the globe. You ll work with leaders across multiple industries to advance the hybrid cloud and AI journeys of some of the world s most innovative and influential companies. Your ability to create impactful change will be empowered by IBM's strategic partner ecosystem and our robust technology platforms, including IBM Software and Red Hat. At IBM, curiosity and a continual pursuit of knowledge form the cornerstone of success. In your role, you'll be encouraged to challenge norms, explore new ideas beyond your immediate responsibilities, and deliver innovative solutions that make a meaningful difference for clients. Our culture is rooted in growth and empathy, ensuring long-term career development in an environment that celebrates your unique skills and experiences. Your Role and Responsibilities As a Data Engineer at IBM, you ll unlock the power of data, revealing insightful stories and complex patterns. You ll contribute to data gathering, storage, and both batch and real-time processing, playing an essential role in defining data management systems and identifying key data for analysis. Your key responsibilities will include: Predictive Modeling: Implementing, validating, and maintaining statistical and predictive models, utilizing big data techniques along with various machine learning methodologies. Enterprise Search Applications: Designing and deploying enterprise search applications like Elasticsearch and Splunk to meet client-specific needs. Collaboration & Agile Practices: Working in an agile, team-oriented environment, collaborating with data scientists, engineers, consultants, and database administrators to bring statistical rigor to predictive behavior challenges. Data Integration & Cleansing: Developing teams or writing programs to efficiently cleanse and integrate data, build predictive models, and evaluate the results. Required Education Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field. Preferred Education Master's Degree in a relevant technical discipline. Required Technical and Professional Expertise 4+ years of experience in data modeling and data architecture. Proficiency in data modeling tools like ERwin, IBM Infosphere Data Architect, and experience with database management systems. Familiarity with various data models, including relational, dimensional, and NoSQL databases. Strong understanding of business processes and how data supports business decision-making. Expertise in database design principles, data warehousing concepts, and data governance practices. Preferred Technical and Professional Experience Exceptional analytical and problem-solving skills, with a sharp attention to detail. Ability to work collaboratively in a team-oriented environment and manage multiple projects simultaneously. Knowledge of SQL or similar programming languages. At IBM Consulting, we foster a culture of growth, innovation, and collaboration. As a Data Engineer, you ll have the opportunity to work with some of the brightest minds in the industry, all while impacting critical data-driven solutions for global clients. Join us and be a part of a diverse team committed to driving change and shaping the future of technology and analytics. Qualification : Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field.

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients. Job Responsibilities Understanding & working experience towards patient analytics like patient journey, persistency, adherence, patient identification etc. Experience using various patient level data like APLD, EHR, patient registries etc. Can work across a variety of projects from advanced analytics, ad-hoc analysis and reporting. Strong in logical reasoning, structuring of analysis, asking the right questions and logical approach to analyse data, problems, and situations. Proficient in Microsoft Office suite. Teamwork and collaboration and can mentor junior associates. Articulate in communication written or verbal and able to convey ideas and information clearly to client or client facing teams. Willingness to learn and innovate. Experience in pharmaceutical sales and marketing analytics would be preferred. Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation. Effectively communicate with onshore/ client (as per business needs). Education Bachelor of Engineering in Others Bachelor Equivalent - Engineering Work Experience Overall 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills. Exhibit expertise on pharma real-world data like APLD, EMR, Prescription data, formulary data etc. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, etc using various data sources. Strong communication, project management, and storyboarding skills. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Experience in Pharma commercial analytics experience will be preferred. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python SQL EXCEL Machine Learning Pharma Commercial Know How Patient Data Analytics Know How Others

Campaign Performance Analysis: Analyze the effectiveness of media campaigns across digital, social, programmatic, and traditional media platforms. Track key performance indicators (KPIs) such as impressions, click-through rates (CTR), cost-per-click (CPC), cost-per-acquisition (CPA), and return on ad spend (ROAS). Perform in-depth analysis of media data to identify trends, opportunities, and areas for improvement. Reporting & Insights: Prepare detailed reports and dashboards to communicate media performance to client stakeholders. Provide recommendations on how to optimize campaigns based on data insights, A/B testing results, and market trends. Collaborate with the media buying and planning teams to provide insights that influence media strategy. Budget & Spend Analysis: Monitor media spend across campaigns and ensure alignment with allocated budgets. Identify opportunities for cost efficiencies and performance improvements. Assist in forecasting media spend based on historical data and future trends. Cross-Channel Attribution: Utilize multi-touch attribution models to evaluate the contribution of various media channels (search, display, social, etc.) to overall campaign performance. Help improve the media attribution process to ensure proper credit is given to each channel. Media Research & Competitor Analysis: Stay up to date with industry trends, new tools, and best practices in media analytics. Conduct competitor media analysis to understand market positioning and media strategies of competitors. Identify emerging platforms and channels for potential investment based on research. Collaboration & Stakeholder Management: Work closely with media planners, buyers, and digital marketing teams to ensure alignment of media strategy with business objectives. Provide clear and concise data-driven recommendations to both technical and non-technical stakeholders. Essential Skills & Experience Experience: 2-4 years of experience in media analysis, digital marketing analytics, or a related field. Technical Proficiency: Strong knowledge of digital marketing platforms such as Google Ads, Facebook Ads, and programmatic buying platforms. Proficiency in using analytics tools like Google Analytics, Adobe Analytics, or similar platforms. Experience with data visualization tools (e.g., Tableau, Power BI, or similar) to present insights effectively. Familiarity with Excel and SQL for data manipulation and analysis. Analytical Skills: Strong ability to analyze complex data sets, derive actionable insights, and communicate findings effectively. Detail-Oriented: Ability to handle multiple data points with precision, ensuring the accuracy and integrity of reports. Communication: Excellent written and verbal communication skills, with the ability to explain data insights to non-technical stakeholders. Desirable Skills & Experience Experience with advanced analytics techniques such as predictive modeling or marketing mix modeling (MMM). Understanding of media buying processes and digital advertising ecosystems. Certification in Google Analytics, Facebook Blueprint, or other relevant platforms.

Job Title: Head of Sales India Location: Pune, India Business Area: Robotics & Discrete Automation Division About ABB At ABB, we are committed to addressing global challenges through innovation and sustainable technology solutions. Our core values care, courage, curiosity, and collaboration shape how we work, ensuring diversity, inclusion, and equal opportunities for all. Your Key Responsibilities As Head of Sales - India, you will play a pivotal role in developing and executing an effective sales strategy for ABB s Robotics & Discrete Automation business across India. You will lead the sales team to drive revenue growth, improve market penetration, and enhance customer satisfaction, while ensuring alignment with ABB s business goals. Define, implement, and maintain an effective sales strategy to achieve qualitative and quantitative sales targets across products, systems, and services. Monitor and anticipate performance gaps, proactively implementing corrective actions to meet targets. Identify and evaluate new business opportunities with both existing and potential customers, and allocate appropriate resources for execution. Lead customer satisfaction initiatives through regular customer surveys, feedback collection, and action planning based on insights. Lead and participate in the negotiation of key contracts, ensuring balanced outcomes for ABB and customers. Develop, coach, and lead a high-performing sales team of 75 to 100 professionals, fostering a culture of collaboration, integrity, and excellence. Qualifications & Experience Education: Bachelor s degree in Electrical & Electronics, Electronics & Electrical, Automation & Technology. An MBA in Marketing is preferred. Experience: Minimum 10 years of overall sales experience, with at least 5 years in a leadership role managing sales teams. Proven track record in strategic sales planning, account management, customer relationship management, market analysis, and commercial negotiations. Skills: Strong leadership capabilities to manage large teams (75-100 members). Highly technical and strategic sales mindset, with a strong winning attitude. Excellent collaborative and interpersonal skills, with high ethical standards and integrity. Strong knowledge of risk management, sales reporting, and team development. Languages: Fluent in English & Hindi. Travel: Up to 40% travel within India. About ABB Robotics & Discrete Automation The Machine Automation Division at ABB offers fully integrated solutions, including: Programmable Logic Controllers (PLCs) Industrial PCs Servo Motion Systems Industrial Transport Systems Machine Vision Technologies Advanced software for engineering and optimization These solutions primarily serve machine builders in industries such as plastics, metals, printing, and packaging. The division operates under B&R Industrial Automation, ABB s global center for machine and factory automation. Global exposure in a leading automation company. Opportunities to work on cutting-edge automation technologies. A collaborative and inclusive work environment. Development programs to enhance your leadership and sales skills. Qualification : Bachelors degree in Electrical & Electronics, Electronics & Electrical, Automation & Technology.

Job Title: Senior Software Engineer Tietoevry Banking Location: Pune, India Education: Bachelor s or Master s degree in Computer Science, Information Technology, or related fields About Tietoevry Banking Tietoevry Banking is a leading technology partner for financial services, providing innovative solutions that drive digital transformation across the banking industry. We empower financial institutions with robust software platforms, advanced analytics, and agile development capabilities to enhance operational efficiency and deliver superior customer experiences. Role Overview We are seeking a Senior Software Engineer with strong expertise in C++ and Python, to join our dynamic team in Pune. In this role, you will be responsible for designing, developing, enhancing, and maintaining banking applications. You will collaborate closely with cross-functional teams to troubleshoot issues, implement new features, and ensure seamless functionality of our products. Key Responsibilities Design, develop, and maintain banking applications using C++, Python, and other relevant technologies. Analyze business and technical requirements to deliver high-quality solutions aligned with product and project goals. Work on enhancements, customizations, and bug fixes as part of the product lifecycle. Ensure adherence to best coding practices, code quality standards, and software development processes. Collaborate with global teams and stakeholders for solution discussions, technical feasibility assessments, and requirement clarifications. Identify bottlenecks, debug complex issues, and implement effective resolutions. Conduct code reviews, mentor junior team members, and actively contribute to team discussions. Required Skills & Experience Proficiency in C++ and Python development. Strong understanding of Standard Template Library (STL) and standard C++ libraries. Hands-on experience with Linux commands, SQL, XML, and Git. Familiarity with agile development methodologies and the software development lifecycle. Strong debugging, analytical, and problem-solving skills. Excellent communication and collaboration abilities to work effectively within global teams. Exposure to Java, JavaScript, or other relevant programming languages is a plus. Preferred Qualifications Prior experience working in banking or financial services domains is advantageous. Experience with cloud technologies, microservices, or containerized deployments is a plus. Opportunity to work on cutting-edge solutions for the banking industry. Exposure to global projects and collaboration with international teams. Professional development through learning opportunities and certification programs. A supportive and inclusive culture that fosters innovation and creativity. Flexible working arrangements and a healthy work-life balance. Diversity & Inclusion Commitment At Tietoevry, we believe in diversity, equity, and inclusion as drivers of innovation and creativity. We encourage applicants of all backgrounds, genders (m/f/d), and life experiences to join us, as we believe in fostering an inclusive workplace where everyone feels valued and empowered to contribute. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or related fields

Operations Research Scientist Location: Pune, India About Aera Technology Aera Technology is a leading Decision Intelligence company, empowering enterprises to operate with greater efficiency, intelligence, and sustainability. Our cutting-edge platform, Aera Decision Cloud , seamlessly integrates with existing systems to digitize, augment, and automate decision-making in real time. Trusted by some of the world's most recognized brands, Aera delivers millions of AI-driven recommendations that drive significant revenue growth and cost savings. Role Overview We are seeking an exceptional Operations Research Scientist to join our team in Pune, India. In this role, you will work on challenging mathematical optimization applications, leveraging data science and advanced optimization modeling techniques. You will play a key role in developing analytical strategies and models to enhance efficiency and cost-effectiveness across various operational domains. Key Responsibilities Analyze and solve complex operational problems related to planning, pricing, and supply chains using data-driven approaches. Design, implement, test, and deploy robust optimization algorithms for real-world applications. Develop large-scale linear and integer programming models, heuristic solutions, and efficient optimization techniques. Collaborate closely with solution delivery teams to promote and implement optimization-driven strategies. Work directly with customers and engagement leaders to support live projects and deliver impactful solutions. Qualifications & Skills Bachelor s degree in a quantitative field such as Applied Mathematics, Computer Science, Operations Research, Industrial Engineering, or a related discipline. 10-15 years of relevant experience in mathematical optimization, data modeling, or operations research. Strong expertise in optimization methods and solvers (e.g., CPLEX, Gurobi, COIN-OR). Proficiency in Python and experience working with large-scale data environments. Ability to work proactively in a remote-friendly environment without requiring micromanagement. Technical Environment Cloud Infrastructure: AWS Operating System: Linux Big Data & Analytics: Spark Programming Language: Python At Aera Technology, we foster an innovative and collaborative workplace that enables employees to grow and thrive. As part of our global team, you will work on cutting-edge technologies and drive impactful solutions for some of the world s top enterprises. We offer: Competitive compensation and company stock options. A dynamic, flexible, and remote-friendly work environment. Opportunities for professional growth and continuous learning. Equal Opportunity Employer Aera Technology is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, veteran status, or disability status. Join us and be a part of building a smarter, more sustainable future! Qualification : Bachelors degree in a quantitative field such as Applied Mathematics, Computer Science, Operations Research, Industrial Engineering, or a related discipline.