Warehouse Management Jobs in Bengaluru

Position: AGV Technical Specialist Department: Research & Development Reporting To: General Manager Location: Bengaluru Key Responsibilities AGV Design & Development Lead the design and development of AGV systems, including electrical, electronics, and navigation systems. Design, implement, and troubleshoot **line follower, inductive, RFID, and SLAM (LiDAR)** based navigation systems. Develop and apply communication protocols for **multi-AGV coordination**. Component Selection & Interface Select and interface **safety PLCs, standard PLCs, area scanners, servo motors**, and other AGV components. Hands-on experience with the programming and integration of various hardware components in AGV systems. AGV System Architecture Design and implement **multi-AGV architecture**, ensuring scalability and efficiency. Independently manage AGV platform functions such as **scheduling, health monitoring, and fault management**. Optimize the AGV platform to meet specifications and performance requirements while exploring innovative solutions for indigenization. Peripheral Equipment Integration Manage the integration of peripheral equipment with AGVs and ensure seamless communication. End-to-End Responsibility Oversee the complete AGV design and deployment lifecycle from the control perspective. Ensure the full transition from requirements design to commercial deployment, including coding, testing, and debugging system software. Review and validate new product designs and provide post-production support. Innovation & Documentation Apply innovative design thinking to develop and document AGV solutions. Create layouts, drawings, and implement designs through software or web portals. Prepare and review BOMs, wiring diagrams, and cost estimates for AGV solutions. Skills & Expertise Core Skills Vehicle control system design (essential). Proficiency in Python, C, C++ (essential). Expertise in vehicle-to-base station communication. Strong knowledge of vehicle odometer control. AGV-Specific Skills In-depth experience with **AGV navigation**, including **SLAM, LiDAR, RFID, and inductive systems**. Experience with **safety PLC, PLCs, area scanners, and servo motors** integration. Familiarity with AGV scheduling, fault management, and health monitoring systems. System Integration Expertise in integrating sensors and other vehicle components in AGVs. Familiarity with developing and deploying solutions in an **IIoT/Cloud platform** environment (good to know). Communication & Documentation Strong verbal and written communication skills for customer interaction and requirements gathering. Experience in creating **BOMs, wiring diagrams**, and supporting deployment efforts. Qualifications Essential: BE in Mechatronics, Computer Science, Mechanical Engineering, or equivalent. Experience: 5-6 years of experience in AGV design and development, with a strong understanding of vehicle controls, communication protocols, and multi-AGV systems. Qualification : BE in Mechatronics, Computer Science, Mechanical Engineering, or equivalent

Position: Associate - Logistics Operations Department: Logistics & Linen Operations Location: Bengaluru Employment Type: Full-Time About Laundryheap: Laundryheap is a fast-growing, award-winning startup revolutionizing the laundry and dry cleaning industry. Operating in 14 global markets and expanding rapidly across Europe, Asia, and North America, we re proud to offer one of the quickest services in the business delivering clean clothes within 24 hours. Role Overview: As an Associate in Logistics Operations, you ll play a key role in ensuring the smooth execution of our live delivery operations. Reporting to the Assistant Regional Manager, you will manage real-time driver activity, optimize routes, and provide essential support to our drivers, ensuring operational excellence and customer satisfaction. What You ll Do: 1. Operations & Route Management: Oversee live delivery operations to ensure routes are executed smoothly and orders are completed on time. Provide real-time support to drivers via chat, calls, or internal platforms. Optimize route plans for maximum efficiency and minimal delays. Proactively resolve any on-route issues such as delays, misrouted deliveries, or driver emergencies. 2. Driver Support & Performance: Address inbound driver queries related to payments, schedules, feedback, and general support. Log driver interactions, escalate unresolved issues, and ensure follow-ups are completed. Ensure adequate driver coverage across multiple time zones to meet live operational demand. 3. Operations & Project Support: Contribute to team goals by supporting or initiating projects aimed at streamlining operations. Maintain internal documentation and knowledge bases to ensure up-to-date resources. Monitor KPIs, identify performance bottlenecks, and ensure service level agreements (SLAs) are met. Collaborate with teams across regions (UK, US, Singapore) to ensure smooth cross-functional operations. Required Skills & Experience: Education: Bachelor s degree or equivalent. Experience: 3 5 years in operations, logistics, or support (experience in international environments is a plus). Skills: Strong communication skills, both verbal and written. Ability to handle high-pressure, fast-paced environments with poise. Experience with driver or agent onboarding (calls/video) and live operational support. Proficient in email, chat support tools, and Google Sheets/MS Excel. Flexibility to work night or rotational shifts. Strong stakeholder management skills. A proactive, solution-oriented mindset with a focus on empathy. Preferred Skills: Experience in international support chat (US/EU region preferred). Background in startups, logistics, or last-mile delivery operations. Familiarity with live route planning tools and CRM systems. Analytical mindset with an ability to interpret operational data. Why You Should Join Us: Growth & Impact: Be part of a fast-paced, international startup where your contributions make a tangible impact on day-to-day operations. Global Collaboration: Work alongside teams from across the globe, contributing to innovative solutions and continuous improvement. Career Growth: Enjoy high visibility in a flat team structure and rapid career growth opportunities. Qualification : Bachelors degree or equivalent

Senior Data Engineer Enterprise Data Platform Location: Bengaluru Department: Business Technology Data Engineering Experience: 5+ Years Employment Type: Full-Time About Okta Okta is The World s Identity Company. We empower people to securely use any technology, anywhere, on any device. Through our Okta and Auth0 platforms, we provide secure access, authentication, and automation placing identity at the center of security and growth for thousands of organizations. We value diverse perspectives and lifelong learners. We re not looking for someone who checks every box we re looking for someone who will make us better with their unique experiences. Team: Business Technology Data Engineering The Data Engineering team at Okta supports cross-functional partners by building scalable, secure, and high-performing platforms. These platforms power decision-making and business processes across sales, marketing, engineering, finance, product, and operations. As part of this team, you ll contribute to data solutions that fuel Okta s hyper-growth. You will have the opportunity to work with cutting-edge technologies in cloud infrastructure, data lakes, automation, and CI/CD pipelines. The Role: Senior Data Engineer As a Senior Data Engineer, you will design, build, and manage modern data pipelines, infrastructure, and automation frameworks. You ll help scale our enterprise data platform using tools such as Snowflake, dbt, Airflow, Databricks, and AWS, while ensuring security, observability, and performance. You ll also contribute to CI/CD pipelines, infrastructure as code (IaC), and secure development lifecycle practices, enabling consistent, efficient, and secure delivery of data solutions. Key Responsibilities Platform Development & Infrastructure Design and maintain scalable data pipelines and platforms using Snowflake, AWS, Databricks, dbt, and Airflow. Manage infrastructure with Terraform, enabling repeatable and consistent deployments. Develop and maintain robust CI/CD pipelines using GitHub Actions, GitLab, or Jenkins. Containerize data services using Docker for better scalability and portability. Security & Compliance Implement and enforce secure development lifecycle practices, integrating tools like DAST, SAST, SCA, and Secret Scanning into pipelines. Conduct vulnerability scanning and apply patches to ensure system integrity. Ensure data security and compliance with industry standards and regulations. Collaboration & Innovation Collaborate with data engineers, data scientists, and analysts across business units to ensure data availability and integrity. Identify opportunities for automation and optimization within the data platform. Stay updated on emerging technologies and drive adoption of best practices. Must-Have Skills Bachelor s degree in Computer Science, Engineering, or a related technical field. 5+ years of experience in data engineering, including: Advanced SQL and ETL development with Airflow and dbt. Experience with data warehouses such as Snowflake, Redshift, or BigQuery. Strong hands-on experience with AWS (S3, Lambda, EC2, EMR, EKS). 2+ years of experience managing CI/CD pipelines using tools like GitHub Actions, GitLab, Jenkins, or ArgoCD. Experience with Terraform and Docker. Proficiency in backend languages such as Python, Java, or Go. Preferred Skills Experience with lakehouse architectures like Databricks, including knowledge of Delta Lake and Apache Iceberg. Background in infrastructure security, vulnerability management, and observability tooling. High Impact: Help build and scale the data platform that powers Okta s global business. Cutting-Edge Stack: Work with best-in-class technologies like AWS, Snowflake, dbt, Terraform, and Databricks. Collaborative Culture: Join a diverse, inclusive, and globally distributed team that values knowledge sharing and continuous learning. Career Growth: Shape the future of Okta s data engineering practice while expanding your technical and leadership skills. Bring your passion for data, cloud, and automation and let s shape the future of secure, scalable enterprise data platforms together. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field

Position Title: Data Architect Department: R&D Engineering Location: Bangalore Experience: 15+ Years Industry: SaaS / Conversational Engagement / Customer Experience Technology About Acqueon: Acqueon is a leading provider of conversational engagement software that enables customer-centric enterprises to proactively engage with their customers across voice, messaging, and email channels. By leveraging a powerful data platform, predictive models, and intelligent workflows, we help brands enhance customer experience, improve collections, and drive revenue growth. With over 200 global clients, Acqueon is at the forefront of AI-powered customer engagement. Role Overview: We are seeking a visionary and technically hands-on Data Architect to lead the development of enterprise-scale data platforms and engineering solutions. You will work closely with Product Owners, Engineering Leadership, and cross-functional teams to define and execute a strategic technology roadmap aligned with Acqueon s business goals. As a key member of our R&D team, you ll lead the design and development of highly scalable, low-latency, fault-tolerant data systems, while mentoring top-tier engineering talent and driving high-impact product features. Key Responsibilities: Architect & Lead: Design and lead development of scalable data architectures and solutions supporting real-time and batch processing, analytics, and enterprise applications. Strategic Ownership: Define and implement the data strategy, technology roadmap, and long-term architecture vision for Acqueon s platforms. Leadership: Manage and mentor a team of senior developers and engineers, fostering innovation, ownership, and delivery excellence. Cross-functional Collaboration: Work with Product, Sales, Engineering, and Customer teams to align on feature development and delivery strategy. Project Management: Oversee the end-to-end delivery of complex features, ensuring adherence to timelines, scalability, and quality standards. System Design: Review architecture and design for robustness, performance, and fault tolerance, including multi-region, high-availability setups. R&D Enablement: Collaborate with international R&D teams and align development efforts across global product initiatives. Innovation & Optimization: Drive architectural decisions, recommend performance improvements, and ensure best practices for enterprise-scale data solutions. Required Skills & Experience: Education: Bachelor s or Master s in Computer Science, IT, or related field. Experience: 15+ years in software development and data architecture, with leadership experience in managing engineering teams. Architecture Expertise: Proven experience in designing scalable, concurrent, distributed, and highly available data systems. Database Proficiency: Strong in SQL/NoSQL databases Experience with MS SQL, Aerospike, DynamoDB, Snowflake In-depth knowledge of micro-partitions, cluster keys, warehouse cloning, time travel in Snowflake Strong in writing and tuning complex stored procedures ETL & Pipelines: Experience in building ETL pipelines and integrating data from S3, Kinesis Streams, APIs Cloud & DevOps: Strong understanding of Docker, AWS, and cloud-native deployment architectures Setting up multi-region resilience, disaster recovery strategies Technologies: Elasticsearch, AWS data services, container orchestration Big Data & Analytics: Exposure to analytical processing and statistical modeling is a plus Leadership: Strong project management skills, stakeholder engagement, and team mentoring experience Preferred Qualifications: Background in customer engagement, VDI, Cybersecurity, or Secure Access technologies Previous experience working with distributed R&D and product teams Knowledge of Acqueon, Citrix, VMware, Omnissa platforms is a plus Certifications in AWS, Snowflake, or similar technologies are an advantage Soft Skills & Behavioral Traits: Strong verbal and written communication skills Strategic thinking with hands-on execution ability High accountability and ownership mindset Ability to work in a fast-paced, dynamic, startup-like environment Comfortable with ambiguity and context-switching Team player with the ability to lead by influence and collaboration Be a part of a fast-growing, AI-driven SaaS company disrupting the customer engagement space Work on cutting-edge technologies with global product teams Ownership of end-to-end solutions and ability to shape the data platform of the future A culture that promotes innovation, agility, and career growth

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

Job Title: Senior Data Business Partner Location: Bengaluru Department: Data & Analytics Experience: Senior-level Company: OSB India (Offshore subsidiary of OSB Group) About OSB India: OSB India (OSBI) is a wholly owned offshore subsidiary of OSB Group, a leading UK financial services provider. Established in 2004, OSBI delivers exceptional customer support and operational services to the Group s UK brands. Known for driving process excellence, innovation, and functional efficiencies, OSBI is a key strategic arm supporting the Group s long-term goals. Role Overview: We are looking for a Senior Data Business Partner to bridge the gap between business and data analytics. In this role, you will collaborate with business leaders to identify analytical needs, design data-driven solutions, and drive adoption of data across the organization. This is a high-impact role requiring strong analytical acumen, stakeholder management skills, and a passion for delivering insights that support strategic decision-making. Key Responsibilities: Build trusted relationships with business stakeholders to understand their data needs and priorities. Collaborate cross-functionally to translate complex business challenges into data solutions. Lead in-depth analysis using market-standard algorithms and modelling techniques. Ensure adherence to Data Governance standards, policies, and controls. Deliver timely, accurate, and well-documented data content and insights. Advise on analytics delivery planning across projects and business functions. Enable self-service analytics by training business users on available tools and platforms. Advocate and implement innovations in AI, Machine Learning, and data analytics. Partner with Data Engineering and Architecture teams, ensuring adherence to technical standards and best practices. Present findings and strategic insights to senior management and governance forums. Mentor team members on analytical approaches and best practices. Promote a culture of continuous improvement, innovation, and high-quality data usage. Champion the use of central data repositories, relational models, and the Data Warehouse to deliver consistent and reliable BI outputs. Identify risks related to data or projects and escalate when necessary. Support internal training efforts to improve data literacy across departments. Ensure compliance with Risk Management and Data Governance policies. Stay current on industry trends, tools, and technologies to enhance analytics capability. Candidate Profile: Qualifications: Bachelor s or Master s degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field. Certifications in data analytics, data science, or relevant tools/platforms are a plus. Experience: 6+ years in a business-facing data analytics role, ideally within financial services or technology. Strong experience in data analysis, modelling, and data storytelling. Proven ability to work with senior business stakeholders and executive teams. Experience in mentoring and leading analytics professionals. Demonstrated expertise in translating business needs into actionable insights. Technical Skills: Proficiency in tools such as Power BI, Tableau, SQL, Python/R, or Excel for data analysis. Familiarity with data warehousing, ETL processes, and relational databases. Understanding of data governance, risk, and compliance frameworks. Exposure to AI/ML applications in business contexts is a strong advantage. Behavioral Competencies: Excellent communication and presentation skills. Strong business acumen with the ability to drive value from data. Strategic thinking with a problem-solving mindset. Collaborative, adaptable, and proactive. At OSBI, we believe in empowering individuals to grow both personally and professionally. Whether you re early in your career or a seasoned expert, we provide an inclusive and supportive environment to help you thrive. Be a part of a connected organization where your contributions make a difference and your career is a journey, not a destination. Qualification : Bachelors or Masters degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field

Product Manager Data Warehouse & Business Intelligence Location: Bangalore Company: Mahindra First Choice About Mahindra First Choice Mahindra First Choice is a pioneer in India s multi-brand used car segment. With a strong focus on innovation, data-driven decision-making, and cutting-edge technology, we are transforming the automotive ecosystem and delivering seamless customer experiences. Our commitment to excellence fuels our drive to create scalable, impactful solutions across the value chain. Role Overview We are looking for a strategic and technically strong Product Manager to lead our Data Warehouse and Business Intelligence (BI) initiatives. Based in Bangalore, this role will own the vision, development, and optimization of enterprise-wide data products. You will play a critical role in enabling data-led decisions, working closely with engineering, analytics, and business teams to drive measurable outcomes. Key Responsibilities 1. Product Strategy & Roadmap Define the vision, strategy, and long-term roadmap for Data Warehouse and BI products. Align product goals with overall business strategy through collaboration with senior leadership. Stay abreast of emerging technologies and industry trends to drive innovation in data architecture and analytics. 2. Development & Execution Partner with engineering, data science, and analytics teams to build scalable, high-performance data platforms. Prioritize product features and enhancements based on impact, feasibility, and business value. Lead cross-functional teams to ensure timely and efficient delivery of data solutions. 3. Business Intelligence & Analytics Oversee the development of interactive BI dashboards, reports, and self-service tools to empower business users. Collaborate with business stakeholders to identify critical metrics and create meaningful data visualizations. Champion data quality, consistency, governance, and accessibility across all platforms. 4. Stakeholder Management Serve as the single point of contact for data needs across Sales, Marketing, Operations, Finance, and other departments. Communicate roadmaps, progress updates, and outcomes clearly and effectively to stakeholders at all levels. Gather continuous feedback to refine products and enhance user experience. 5. Performance Monitoring & Optimization Define and track KPIs to assess product adoption, usage, and business impact. Analyze system performance and user engagement to identify areas for improvement. Drive initiatives to increase data platform efficiency and reliability. Qualifications & Skills Required Bachelor s degree in Computer Science, Engineering, Business, or a related field (Master s preferred). 7+ years of experience in product management, specifically in data warehousing, business intelligence, or analytics. Deep understanding of data architecture, ETL processes, and data modeling. Hands-on experience with BI tools like Tableau, Power BI, or Looker. Strong SQL skills and familiarity with cloud platforms (AWS, Azure, GCP). Proven track record of managing complex, cross-functional data projects in fast-paced environments. Ability to translate business needs into scalable, data-driven solutions. Preferred Experience in automotive, mobility, or e-commerce domains. Familiarity with machine learning concepts and advanced analytics techniques. Soft Skills Strong communication, presentation, and stakeholder engagement skills. Analytical mindset with a focus on delivering business value through data. Effective leadership and cross-functional collaboration. High attention to detail and ability to manage multiple priorities. At Mahindra First Choice, you ll join a fast-growing, innovation-led organization at the forefront of transforming the used car market in India. This is a unique opportunity to shape our data landscape and make a real impact on business outcomes. If you're passionate about unlocking the power of data, we d love to meet you. Qualification : Bachelors degree in Computer Science, Engineering, Business, or a related field (Masters preferred)

Job Title: Purchase Executive Home Automation Solutions Location: Bengaluru, Karnataka No. of Positions: 1 2 Industry: Home Automation & AV, Building Automation Joining: Immediate About EBSL Automat Pvt. Ltd. EBSL Automat Pvt. Ltd. is a pioneer in home automation and smart living technologies, dedicated to delivering innovative solutions that enhance comfort, convenience, and security. We are looking for a motivated Purchase Executive to join our team and play a key role in sourcing the best products and components for our home automation projects. Position Overview As a Purchase Executive, you will be responsible for the strategic procurement of high-quality home automation materials, ensuring timely delivery, cost optimization, and vendor relationship management. Your role will directly impact project success and customer satisfaction through efficient supply chain management. Key Responsibilities Procurement Strategy: Develop and implement effective purchasing strategies to meet project timelines and budget goals. Vendor Management: Identify, evaluate, and select suppliers based on quality, cost, and delivery capabilities. Build and maintain strong vendor partnerships. Sourcing: Conduct market research to discover new suppliers, innovative products, and technologies in home automation. Purchase Order Management: Prepare and process purchase orders accurately, coordinating with internal teams for validation. Price Negotiation: Negotiate pricing, contracts, and terms to achieve cost savings while maintaining quality and delivery standards. Inventory Management: Monitor stock levels, collaborate with warehouse teams to manage storage, and avoid stock shortages or excess. Quality Assurance Coordination: Work with QA teams to ensure procured products meet company standards. Documentation & Reporting: Maintain precise records of procurement activities, contracts, and vendor performance; generate reports on cost savings and inventory. Budget Compliance: Assist in managing procurement budgets and ensuring financial discipline. Industry Knowledge: Stay informed about emerging trends and best practices in home automation procurement. Qualifications & Requirements Bachelor s degree in Business Administration, Supply Chain Management, or related field. Minimum 1 year of experience in procurement or purchase roles, preferably in home automation, technology, or related industries. Solid understanding of home automation products and technologies. Strong negotiation, communication, and vendor management skills. Proficient in procurement software, MS Office, and inventory management principles. Detail-oriented, analytical, and able to work independently as well as collaboratively. Familiarity with procurement regulations and legal requirements. Skills & Profile Must Have: Positive attitude, growth mindset, persistent follow-up, excellent communication skills, and at least 1 year of experience selling or purchasing technology solutions. Good to Have: Aggressive sales approach, computer and internet proficiency, experience in home automation or home theatre industry, and strong written communication skills. Compensation: Competitive, as per industry standards. Qualification : Bachelors degree in Business Administration, Supply Chain Management, or related field

Job Title: Engineering Manager Data Engineering Location: Bengaluru, Karnataka, India Department: Engineering Experience: 6 to 8 years Open Positions: 2 About the Role As an Engineering Manager - Data Engineering, you will lead a team of skilled data engineers who design, build, and maintain scalable data pipelines and infrastructure. You will collaborate with cross-functional teams and client stakeholders to deliver high-quality data systems that meet business goals. Your leadership will be pivotal in mentoring your team, driving project execution, and advancing data engineering capabilities across the organization. Key Responsibilities Lead, mentor, and develop a team of data engineers, fostering a collaborative and inclusive work environment. Conduct performance reviews, provide constructive feedback, and set clear goals for team members. Identify skill gaps and create opportunities for continuous professional growth. Plan, execute, and deliver data engineering projects on schedule and within scope. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure all projects align with broader business objectives and data strategies. Oversee design, development, and maintenance of data pipelines, ETL processes, and data warehouses. Guarantee data quality, integrity, and security in all data engineering initiatives. Identify and drive process improvements to enhance efficiency and effectiveness in data operations. Manage client conversations to understand requirements and translate them into technical deliverables. Build and promote reusable frameworks to drive efficiency in data systems. Lead multiple projects involving streaming, batch, and large-scale data pipelines. Required Technical Skills Strong execution knowledge of data modeling, relational and non-relational databases (SQL and NoSQL). Expertise with ETL and orchestration tools such as IICS, Metatron, Airflow, Azure Data Factory, AWS Glue, or GCP Composer. Experience working with data warehouses like Snowflake, Redshift, Hive, or BigQuery. Proficiency in Apache Spark and optimization of Spark jobs. Strong programming skills in Python (mandatory), with knowledge of Scala, Rust, or Java as a plus. Understanding of Medallion architecture patterns. Advanced SQL skills with query optimization expertise. Experience with software development lifecycle, unit testing, and functional programming concepts. Required Non-Technical Skills Strong problem-solving skills with the ability to assess financial impacts of decisions. Excellent written and verbal communication skills, capable of engaging with mid-management client stakeholders. Ability to balance pragmatic solutions against perfect ones, driving team consensus and business value. Exceptional people management skills, including conflict resolution, empathy, negotiation, and active listening. Proven leadership and mentorship abilities, providing technical guidance to delivery teams. Self-driven, with a strong sense of ownership and accountability. Preferred Educational Qualifications Bachelor s degree in Engineering (B.E./B.Tech), MCA, or M.Sc. (Mathematics, Statistics). Lead and mentor a talented team working on cutting-edge data engineering projects. Collaborate closely with clients and cross-functional teams in a dynamic, fast-growing company. Drive innovation with scalable, high-impact data solutions. Grow your leadership and technical skills in a supportive, inclusive environment. Qualification : Bachelors degree in Engineering (B.E./B.Tech), MCA, or M.Sc. (Mathematics, Statistics).

Data Architect Bangalore, India Location: Bangalore (Bengaluru) Experience: 10 to 15 Years Industry: IT & Data Systems Job Summary: We are seeking an experienced Data Architect with a strong background in designing and implementing enterprise-scale data solutions. The ideal candidate will have expertise in building data lakes, warehouses, and pipelines, with deep knowledge of cloud platforms, data management, and industry best practices. Key Responsibilities: Design, develop, and maintain complex data architectures including data lakes, data warehouses, data marts, and efficient schema design Build and optimize scalable data pipelines for extraction, transformation, and loading (ETL/ELT) processes Apply Agile methodologies in project delivery and collaborate within cross-functional teams Perform data profiling, cleansing, conversion, and ensure high-quality data management for both structured and unstructured data Implement CI/CD and Infrastructure as Code (IaC) practices using tools like GitHub, Jenkins, CloudFormation, and Azure Resource Manager Manage database systems and tools such as PostgreSQL, Oracle, Snowflake, Teradata, MongoDB, Hadoop, and others Utilize data modeling tools like Erwin, Power Designer, and Toad for effective data architecture design Leverage cloud platforms including AWS and Microsoft Azure, with hands-on experience in services like AWS Glue, DMS, Lambda, Azure Data Factory, Synapse, and Data Lake Storage Work with programming and scripting languages including SQL, PL/SQL, Python, Spark, YAML, and JSON Use containerization and automation tools such as Docker, Ansible, and NodeJS for efficient deployment Ensure compliance with cybersecurity principles and frameworks such as NIST Lead data governance initiatives and enforce best practices in data quality and security Preferred Qualifications: ITIL certification and experience with Agile methodology Knowledge of code review and version control best practices, especially in GitHub Familiarity with data science tools and AI/ML frameworks like R, Keras, or TensorFlow Experience with natural language processing (NLP) and machine learning concepts Background in regulated industries, with pharma manufacturing experience highly preferred Exposure to multi-site, global IT projects and manufacturing operations Lead innovative data architecture projects within a dynamic and fast-paced environment Work with cutting-edge cloud technologies and big data ecosystems Collaborate with global teams on impactful enterprise solutions Access to professional growth opportunities in data governance, AI, and cloud technologies

Job Title: Director / Sr Manager - Platforms Location: Bangalore, Karnataka, India Job Type: Full-Time (Hybrid Work Model) Experience Level: 10+ Years About Eightfold.ai: At Eightfold.ai, we are revolutionizing how organizations manage talent by leveraging the power of artificial intelligence. Our cutting-edge AI platform is transforming the way businesses hire, develop, and retain talent. By utilizing AI to understand individual skills and potential, we re solving the fundamental problem of matching people with the right opportunities. We are looking for a visionary engineering leader to drive the growth of our Core Infrastructure Team in India, shaping the foundation of our AI platform. About the Core Infrastructure Team: The Core Infrastructure Team at Eightfold is the backbone of the organization, responsible for the architecture, maintenance, and enhancement of critical infrastructure elements that support our entire technology stack. Our team builds and maintains systems for Search, Databases, Machine Learning Infrastructure, Data Warehouses, Developer Platforms, and Application Infrastructure. We ensure the scalability, security, and reliability of these services, which underpin every product that we offer to our users and customers. What You ll Own & Drive: As the Director / Sr Manager - Platforms, you will lead the technical direction for Eightfold's infrastructure, security, and analytics platforms, ensuring they meet the needs of our growing enterprise-scale business. Vision & Roadmap: Lead the strategy, roadmap, and execution of the Infrastructure, Security, and Analytics platforms. Team Building: Hire, mentor, and lead a high-performing engineering team, fostering a culture of innovation, excellence, and autonomy. Cross-Functional Collaboration: Partner with Product, Data, and DevOps teams to build secure, scalable systems that support business growth. Infrastructure Scaling: Ensure reliability, availability, and performance across both cloud (AWS, GCP) and on-prem environments. Security Leadership: Define and enforce security protocols, including threat modeling, vulnerability management, and compliance frameworks (SOC2, ISO27001, etc.). Operational Excellence: Champion modern engineering practices, including CI/CD, observability, and cost optimization. Analytics Platform Development: Lead the creation and scaling of an end-to-end Analytics Product stack including data warehouse, query engine, and dashboards. Ownership & Impact: Take ownership of the full product/technology lifecycle from vision, architecture, and deployment, ensuring long-term impact and success. What You Bring: Required Skills & Experience: 10+ Years of Engineering Experience: Significant experience in engineering with at least 3+ years in a leadership role leading teams at scale. Expertise in Cloud Infrastructure: Deep expertise in cloud-native infrastructure (AWS, GCP, etc.) and DevSecOps principles. Proven Success in Platform Scaling: A track record of building and scaling secure, reliable platforms at an enterprise level. Security Expertise: Leadership in security initiatives, including threat modeling, vulnerability management, and compliance. Excellent Communication: Strong communication skills, with the ability to influence and collaborate across engineering and business teams. Bonus Experience: Exposure to scaling analytics stacks (Snowflake, dbt, Airflow, Looker, etc.) is a plus. Leadership & Culture Building: Demonstrated success in building high-caliber teams and cultivating a thriving engineering culture. Impactful Leadership: Take on a high-leverage leadership role that shapes the foundation of Eightfold's AI platform and directly impacts the company s growth and success. Innovative Environment: Work with cutting-edge technologies and collaborate with brilliant minds to solve complex engineering challenges. Career Growth: As a leader at Eightfold, you will have the autonomy to drive strategic initiatives while building and scaling high-performing teams. Hybrid Work Model: Enjoy a flexible hybrid work model with the ability to work remotely while maintaining a strong in-office presence for team collaboration starting February 1, 2024. Comprehensive Benefits: Competitive salary, comprehensive family medical coverage, and eligibility for equity awards and discretionary bonuses or commissions. How to Apply: If you're a visionary engineering leader with a passion for building scalable, secure platforms and leading high-performing teams, we want to hear from you. Join Eightfold.ai and help us redefine how companies build, hire, and retain their workforce using AI-powered talent intelligence. Equal Opportunity Employer: Eightfold.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability.

Audit Officer/Executive Location: Rajkot Key Skills: Internal Audit, Control Audit, Operational Audit Education: B.Com, M.Com, MBA, or CA/ICWA Inter Experience: Minimum 4-5 years in an Audit Firm or Internal Audit Department Gender Preference: Male candidates are preferred due to the travel requirements. Travel Requirement: Willingness to travel regularly to company warehouse, CFA/CSA locations for audit purposes. Role Overview We are looking for an Audit Officer/Executive to join our team. This role is vital in performing internal and operational audits across various business functions. The successful candidate will be responsible for conducting critical business process audits, preparing audit findings, and assisting in improving internal processes and policies. This position will also require extensive travel to various company locations for surprise audits and monitoring. Key Responsibilities Critical Business Process Audits: Conduct audits of key business processes such as third-party procurement, supply chain, affiliation, HRD, commission structures, brand reminder purchases, freight bills, travel claims, and training expenses (DN/CN). Process & SOP Audits: Assist in reviewing processes, conducting SOP audits, and evaluating internal policies and limits of authority to ensure compliance and operational efficiency. Statutory Payments Audit: Audit statutory payments to ensure compliance with legal and regulatory requirements. Stock Audits: Perform periodic stock audits at warehouses to ensure accurate inventory records and assess stock management processes. Surprise Audits: Travel to CFA/CSA locations for surprise audits as required, ensuring integrity and compliance with policies in remote locations. Reporting & Documentation: Document audit activities thoroughly, prepare clear audit findings reports, and ensure all audit processes and results are well-documented. Maintain and manage audit-related documents, including query sheets and the resolutions to those queries. Follow-Up Audits: Conduct follow-up audits to monitor the implementation of corrective actions identified in previous audits. Risk Identification & Cost-Saving: Identify loopholes in processes, recommend risk aversion measures, and suggest cost-saving initiatives to improve operational efficiency. Knowledge Development: Stay updated on rules, regulations, best practices, and new audit tools and techniques to ensure consistent improvement and development in audit standards and performance. Skills & Qualifications Educational Qualifications: Experience: At least 4-5 years of experience working in an audit firm or within an internal audit department. Core Skills: Strong knowledge and experience in internal audit, control audits, and operational audits. Strong understanding of business processes, including procurement, HR, supply chain, and statutory payments. Technical Skills: Proficient in Microsoft Office (Excel, Word, PPT) for audit documentation and reporting. Ability to prepare and present audit findings and reports effectively. Communication Skills: Excellent oral and written communication skills. Attention to Detail: Strong attention to detail and the ability to identify risks, inefficiencies, and cost-saving opportunities. Travel Flexibility: Willingness and readiness to travel extensively to various CFA/CSA locations for surprise audit assignments as needed. This is an excellent opportunity for a seasoned audit professional to join a growing organization where you can expand your career in a diverse and dynamic role. You ll gain exposure to multiple business processes and industries while working with a team of experienced professionals. We provide an open and collaborative work environment, with ample opportunities for learning and career advancement. Qualification : B.Com, M.Com, MBA, or CA/ICWA Inter.

Assistant Manager - F&E (CPDO - Consolidation) Location: Bangalore, Karnataka | Fulfilment & Experience About the Team As part of Meesho's Fulfillment and Experience (F&E) team, you'll play a pivotal role in shaping the logistics framework to support the next billion e-commerce users in India. Our team consists of 100+ smart individuals who are analytical, first-principle problem solvers and get excited about creating 10x impact with innovative solutions. We are reimagining logistics to meet customer expectations of affordability and rapid delivery. Meesho has pioneered many 1st time in India and 1st time in world innovations in fulfillment and experience field. You will be expected to continue and compound on this strong legacy. At Meesho, you'll be driving cutting-edge zero-to-one projects that will redefine e-commerce logistics on a global scale. About the Role As an Assistant Manager - F&E you will be working on a consolidation problem statement. Consolidation - Meesho is a marketplace where currently majority orders are fulfilled by sellers instead of warehouses. Due to this, if a user has ordered 2 products from 2 sellers, they receive 2 separate packets. This leads to higher supply chain costs, higher carbon emissions etc. We are on a mission to figure out innovative ways to consolidate these shipments at various legs in the supply chain to save cost pass on this benefit to the user, and reduce carbon emissions. We are looking for smart problem solvers, strong in analytics and innovative thinkers to solve this first-of-its-kind problem at scale. Your role is to analyse data, understand shipment paths, and come up with various innovative solutions to club orders from the same user together. Identifying opportunities: Problem solving to identify various consolidation opportunities. Work with the supply chain team to understand feasibility and prioritize among them. Design supply chain changes to capture these opportunities. Build & Pilot: Work with product, tech, and on-ground operations teams to build and pilot 0-1 stage solutions. Identify success metrics for pilots and iterate to achieve Product Market Fit (PMF). Scale up: Scale up the successful solutions and move to the next opportunity. What you will need B.Tech or MBA from a premium college 1 3 years of experience, preferably in Strategy & Operations or Management Consulting Ability to handle both strategy formulation and implementation Excellent analytical and problem-solving skills Solid project management skills: ability to lead and collaborate with cross-functional teams, prioritize high-impact activities, and manage complex projects Strong growth track record with demonstrated past results Outstanding written and verbal communication skills, along with strong organizational ability Qualification : B.Tech or MBA from a premium college

Job Title: Data Engineer Location: Bengaluru, Karnataka Experience: 5 to 8 Years Work Modality: Full-time (Work from office) Job Description: We are looking for an experienced Data Engineer to join our team and take responsibility for designing, developing, and maintaining scalable ETL/ELT pipelines. This is a full-time position based in Bengaluru, Karnataka, and you will be collaborating with cross-functional teams to define data requirements and ensure data accuracy, consistency, and integrity. Your role will also involve optimizing data workflows, automating processes, and ensuring high availability and reliability of data pipelines. Key Responsibilities: ETL/ELT Pipeline Development: Design, develop, and maintain scalable ETL/ELT pipelines to support data transformation and integration processes. Data Warehouse & Data Lake Optimization: Build and optimize data warehouses, data lakes, and real-time streaming solutions to support large-scale data operations. Collaboration & Data Requirements: Collaborate with cross-functional teams, such as product, data science, and analytics teams, to define data requirements and ensure data accuracy and consistency. Database Structure & Schema Management: Develop and maintain database structures and schemas to ensure efficient data storage and retrieval. Data Workflow Optimization: Optimize data workflows for performance, reliability, and scalability, ensuring the highest level of efficiency. Data Security & Compliance: Implement data security, governance, and compliance best practices to ensure that data is handled securely and meets industry standards. Pipeline Monitoring & Troubleshooting: Monitor, troubleshoot, and improve data pipelines to ensure uptime, reliability, and smooth data processing. Process Automation: Automate data-related processes to improve efficiency and reduce manual intervention, increasing the overall speed of data flow. Required Qualifications: Experience: 5+ years of experience in data engineering or 3-4 years of experience as a Data Engineer. Technical Skills: Strong proficiency in SQL and database management systems such as PostgreSQL, MySQL, SQL Server, etc. Experience with ETL tools such as Pentaho, Talend, Cdata, and SSIS. Exposure to Python, Java, or Scala for data processing is a plus. Experience with big data technologies such as Apache Spark, Hadoop, or Kafka. Familiarity with cloud services (AWS, Azure) and data storage solutions such as S3, Redshift, Snowflake, or BigQuery. Strong knowledge of data modeling, warehousing concepts, and data architecture best practices. Soft Skills: Excellent communication skills with the ability to collaborate effectively across teams. Strong problem-solving skills and the ability to work with large, complex datasets. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Collaborative Work Environment: Work in a dynamic and fast-paced environment with a team that fosters innovation and collaboration. Growth Opportunities: Opportunities to enhance your skills and career growth in the data engineering field. Comprehensive Benefits: Benefits package designed to support work-life balance and overall employee well-being.

Your Impact As a Data Science Analyst at McKinsey, you will collaborate closely with the Insights & Analytics (IA) group and consulting teams to solve analytically complex client problems in the marketing domain. You will apply advanced analytical and modeling techniques, drawing insights through statistical techniques and predictive modeling to guide marketing efforts. Your primary responsibility will be client service, with an additional focus on knowledge development within the team. Key activities will include: Performing statistical analysis and modeling to support marketing-related client engagements. Developing and refining statistical models aimed at optimizing pricing strategies and promotional activities. Providing guidance to teams on analytics projects, particularly on technique and modeling-related issues. Supporting the development and maintenance of McKinsey s proprietary marketing techniques and contributing to other knowledge development initiatives. Coaching and mentoring new hires by sharing your business, technical, and functional expertise. Delivering high-quality, client-ready end products on time, with attention to detail and performing quality checks as required. Your Growth You will be a key part of McKinsey s Growth, Marketing & Sales (GM&S) team, based in either Gurgaon or Bengaluru, primarily supporting the Insights & Analytics (IA) group of GM&S. This team leverages McKinsey's decades of experience in marketing and sales to help leading companies improve pricing, promotions, assortments, and performance management. The GM&S Solutions team blends cutting-edge software, tailored services, and deep expertise to provide clients with a comprehensive view of their commercial and financial performance. By integrating various data sources into a central data warehouse, the team enables clients to make informed decisions using advanced analytics. McKinsey Solutions fosters innovation in areas such as design thinking, mobile, and social, helping to reshape the consulting model toward asset-based solutions. This is a growing area within McKinsey, with a vibrant ecosystem of alliances, strategic acquisitions, and the development of new products and services that redefine how McKinsey works with clients. As part of McKinsey Solutions, you ll be part of a team of more than 1,000 dedicated professionals, including over 800 analysts and data scientists, working on impactful, innovative solutions. Your Qualifications and Skills Mandatory: Master s degree in Statistics, Economics, Econometrics, Computer Science, Engineering, Mathematics, or an MBA with a strong quantitative background. 2+ years of relevant work experience in analytics, business intelligence, or advanced analytics with an analytics firm. Proficiency in statistical programming software such as Python, and comfortable working with large datasets. Familiarity with R and SQL is also preferred. Experience in handling large volumes of data, including data manipulation, data cleansing, and data matching using tools like R, SQL, and Excel VBA. Strong analytical and problem-solving skills, with the ability to break down complex issues, identify root causes, and recommend actionable solutions. Knowledge of forecasting, regression analysis, and segmentation methodologies. Experience with modeling techniques, including logistic regression, linear regression, cluster analysis, CHAID, and similar approaches. Industry experience in consumer goods, telecom, or retail is a plus. Ability to thrive in a dynamic and evolving environment where priorities change frequently, and methodologies are often challenged. Capacity to work efficiently under pressure and meet tight deadlines. Qualification : Masters degree in Statistics, Economics, Econometrics, Computer Science, Engineering, Mathematics, or an MBA with a strong quantitative background.

Job Title: Application Developer - ETL and Data Management Introduction: In this role, you ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we provide deep technical and industry expertise to a wide range of public and private sector clients globally. Our delivery centers leverage locally-based skills to help clients drive innovation and the adoption of new technologies. A career in IBM Consulting is built on long-term relationships and close collaboration with clients across the world. You will work with leaders across industries to improve the hybrid cloud and AI journeys for some of the most innovative and valuable companies worldwide. Your ability to make a meaningful impact for clients is enabled by our strategic partner ecosystem and robust technology platforms, including Software and Red Hat. Curiosity and a constant quest for knowledge are key to success in IBM Consulting. In your role, you ll be encouraged to challenge the norm, explore new ideas, and come up with creative solutions that result in groundbreaking impact for a wide network of clients. Our culture is built on evolution and empathy, focusing on long-term career growth and development in an environment that values your unique skills and experience. Your Role and Responsibilities: ETL Workflow Development: Develop and implement ETL workflows by creating ETL jobs, and data models in datamarts using technologies such as Snowflake, DBT, Unix, and SQL. Batch Processing Redesign: Redesign Control M Batch processing for ETL job builds to run efficiently in a production environment. System Evaluation and Improvement: Study the existing system to evaluate its effectiveness and design new systems to improve workflow efficiency. Business Program Analysis & Support: Perform requirements identification, business program analysis, testing, and system enhancements while providing production support. Agile Environment: Work effectively in an Agile environment and gain familiarity with tools such as JIRA and SharePoint. Client Interaction: Good written and verbal communication skills are essential as you will interact directly with client counterparts to understand requirements and provide solutions. Required Technical and Professional Expertise: Experience: A minimum of 3 years of experience in developing ETL applications, implementing workflows, and creating data models using Snowflake, DBT, Unix, and SQL technologies. Agile Environment: Strong understanding of working in an Agile environment and proficiency in tools like JIRA and SharePoint. Problem-Solving Skills: Ability to manage change and proven time management skills. Strong interpersonal skills to contribute effectively to team efforts. Continuous Learning: Stay up-to-date with technical knowledge by attending educational workshops and reviewing relevant publications. Preferred Technical and Professional Expertise: ETL Development: Experience in developing triggers, functions, and stored procedures to support ETL workflows. Impact Analysis: Assist with impact analysis of changing upstream processes on the Data Warehouse and reporting systems. ETL & Reporting Support: Participate in the design, testing, support, and debugging of new and existing ETL and reporting processes. Data Profiling & Troubleshooting: Perform data profiling and analysis using a variety of tools, troubleshoot and support production processes, and maintain documentation. Innovation: Be part of a team that drives global change and leverages cutting-edge technologies to solve complex problems. Growth: Gain access to continuous learning and career development opportunities to further your expertise in data management and cloud technologies. Collaboration: Work with a diverse team in a collaborative environment that values new ideas and creative solutions. Global Impact: Your work will contribute to improving business operations and technological advancements for clients around the world. If you're passionate about driving innovative solutions, working with a variety of clients, and continuously evolving your skills, IBM Consulting is the perfect place for you to advance your career.

Senior Technical Lead FAW, Data Modelling, & OBIEE Location: Remote / Bangalore, India Experience: 7-12 Years About the Role We are seeking a Senior Technical Lead with deep expertise in Fusion Analytics Warehouse (FAW), Data Modelling, and OBIEE to design and implement cutting-edge enterprise analytics solutions. This role requires hands-on experience in FAW customization, OBIEE development, data integration, and ETL/ELT processes. As a key technical leader, you will work closely with internal teams and stakeholders to develop scalable, high-performance analytics solutions, ensuring alignment with business goals. Key Responsibilities FAW & OBIEE Development Lead the design, development, and deployment of enterprise analytics solutions using Fusion Analytics Warehouse (FAW) and OBIEE. Implement and manage FAW solutions, ensuring alignment with business requirements. Customize FAW dashboards and reports to meet specific organizational needs. Data Modelling & Integration Design, develop, and maintain robust data models, including dimensional modelling and star schema design. Provide expertise in ETL/ELT processes and data integration to support seamless data flow. Work with Oracle, SQL Server, and other database management systems to optimize data performance. OBIEE Development & Optimization Develop and maintain OBIEE reports, dashboards, and metadata repository (RPD). Troubleshoot and optimize OBIEE performance, ensuring scalability and reliability. Ensure data security and compliance across FAW, OBIEE, and related analytics platforms. Collaboration & Stakeholder Engagement Provide technical expertise in data integration, reporting, and visualization to internal teams and stakeholders. Effectively communicate complex technical concepts to non-technical stakeholders. Collaborate with cross-functional teams to ensure timely and successful project delivery. Required Qualifications & Skills Education & Experience Graduate degree in Computer Science, Information Technology, or a related field. 7-12 years of experience in enterprise analytics and business intelligence. Technical Expertise Fusion Analytics Warehouse (FAW): Hands-on experience in customization and deployment. Data Modelling: Strong knowledge of dimensional modelling and star schema design. OBIEE: Expertise in RPD development, dashboard/report creation, and performance tuning. ETL/ELT: Strong understanding of data integration processes and tools. SQL & Databases: Proficiency in Oracle, SQL Server, and other database management systems. Cloud Analytics: Familiarity with Oracle Cloud Infrastructure (OCI) and Oracle Analytics Cloud (OAC). Soft Skills Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and in a team-oriented environment. Lead Cutting-Edge Analytics Initiatives Work with FAW, OBIEE, and cloud-based analytics platforms. Career Growth Opportunities for learning, upskilling, and career advancement. Collaborative Environment Work alongside industry experts in a dynamic, innovative culture. Comprehensive Benefits Competitive salary, remote work flexibility, and a supportive work environment. Join Our Team & Shape the Future of Enterprise Analytics! If you are passionate about data analytics, FAW, and OBIEE, we encourage you to apply! Apply Now! Qualification : Graduate degree in Computer Science, Information Technology, or a related field.

Data Engineer Role Overview We are looking for a Data Engineer to design, develop, and maintain scalable data pipelines and ETL processes. You will work closely with data scientists, analysts, and engineers to ensure efficient data processing and storage solutions that support business intelligence and analytics needs. This role requires expertise in SQL, big data technologies, and cloud platforms to build and optimize data workflows. Key Responsibilities Data Pipeline Development & Optimization Design and build scalable ETL/ELT processes for structured and unstructured data. Develop and maintain data ingestion frameworks to handle large datasets efficiently. Ensure data integrity, consistency, and security across multiple sources. Database & Data Warehouse Management Develop, optimize, and maintain relational and NoSQL databases. Implement data modeling best practices for performance and scalability. Work with cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery). Big Data & Cloud Technologies Leverage big data tools (e.g., Spark, Hadoop, Databricks) for data processing. Work with cloud platforms (e.g., AWS, Azure, GCP) to build and optimize data solutions. Develop real-time and batch processing workflows. Collaboration & Documentation Work closely with data scientists, engineers, and business teams to understand data requirements. Document data pipelines, architecture, and workflows for scalability and maintenance. Required Qualifications & Skills Technical Expertise: Strong experience with SQL and Python for data processing. Proficiency in ETL/ELT frameworks and data integration techniques. Hands-on experience with big data tools (e.g., Apache Spark, Hadoop, Kafka). Cloud & Database Management: Expertise in cloud data platforms (Azure, AWS, GCP). Experience with data warehousing solutions (Snowflake, Redshift, BigQuery). Understanding of data governance, security, and compliance. Performance Optimization & Troubleshooting: Ability to optimize SQL queries and improve data processing efficiency. Experience troubleshooting complex data pipeline issues. Apply Now & Be Part of an Innovative Data Team!

Skills Required: Should have a minimum 6+ years in Data Engineering, Data Analytics platform. Should have strong hands-on design and engineering background in AWS, across a wide range of AWS services with the ability to demonstrate working on large engagements. Should be involved in Requirements Gathering and transforming them to into Functionally and technical design. Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources. Design, build and maintain batch or real-time data pipelines in production. Develop ETL/ELT Data pipeline (extract, transform, load) processes to help extract and manipulate data from multiple sources. Automate data workflows such as data ingestion, aggregation, and ETL processing and should have good experience with different types of data ingestion techniques: File-based, API-based, streaming data sources (OLTP, OLAP, ODS etc) and heterogeneous databases. Prepare raw data in Data Warehouses into a consumable dataset for both technical and non-technical stakeholders. Strong experience and implementation of Data lakes, Data warehousing, Data Lakehousing architectures. Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures. Monitor data systems performance and implement optimization strategies. Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership. Experience of AWS tools (AWS S3, EC2, Athena, Redshift, Glue, EMR, Lambda, RDS, Kinesis, DynamoDB, QuickSight etc.). Strong experience with Python, SQL, pySpark, Scala, Shell Scripting etc. Strong experience with workflow management & Orchestration tools (Airflow, Should hold decent experience and understanding of data manipulation/wrangling techniques. Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit testing, version control, code review). Big Data Eco-Systems, Cloudera/Hortonworks, AWS EMR etc. Snowflake Data Warehouse/Platform. Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. Experience of working with CI/CD technologies, Git, Jenkins, Spinnaker, Ansible etc Experience building and deploying solutions to AWS Cloud. Good experience on NoSQL databases like Dynamo DB, Redis, Cassandra, MongoDB, or Neo4j etc. Experience with working on large data sets and distributed computing (e.g., Hive/Hadoop/Spark/Presto/MapReduce). Good to have working knowledge on Data Visualization tools like Tableau, Amazon QuickSight, Power BI, QlikView etc. Experience in Insurance domain preferred.