17230 Spark Jobs - Page 10

Job Role: Data Engineer Experience: 7+ Years Mode: Hybrid Key Responsibilities: • Design and implement enterprise-grade Data Lake solutions using AWS (e.g., S3, Glue, Lake Formation). • Define data architecture patterns, best practices, and frameworks for handling large-scale data ingestion, storage, computing and processing. • Optimize cloud infrastructure for performance, scalability, and cost-effectiveness. • Develop and maintain ETL pipelines using tools such as AWS Glue or similar platforms. CI/CD Pipelines managing in DevOps. • Create and manage robust Data Warehousing solutions using technologies such as Redshift. • Ensure high data quality and integrity across all pipelines. • Design and deploy dashboards and visualizations using tools like Tableau, Power BI, or Qlik. • Collaborate with business stakeholders to define key metrics and deliver actionable insights. • Implement best practices for data encryption, secure data transfer, and role-based access control. • Lead audits and compliance certifications to maintain organizational standards. • Work closely with cross-functional teams, including Data Scientists, Analysts, and DevOps engineers. • Mentor junior team members and provide technical guidance for complex projects. • Partner with stakeholders to define and align data strategies that meet business objectives. Qualifications & Skills: • Strong experience in building Data Lakes using AWS Cloud Platforms Tech Stack. • Proficiency with AWS technologies such as S3, EC2, Glue/Lake Formation (or EMR), Quick sight, Redshift, Athena, Airflow (or) Lambda + Step Functions + Event Bridge, Data and IAM. • Expertise in AWS tools that includes Data Lake Storage, Compute, Security and Data Governance. • Advanced skills in ETL processes, SQL (like Cloud SQL, Aurora, Postgres), NoSQL DB’s (like DynamoDB, MongoDB, Cassandra) and programming languages (e.g., Python, Spark, or Scala). Real-time streaming applications preferably in Spark, Kafka, or other streaming platforms. • AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, • Encryption, KMS, Secrets Manager. • Hands-on experience with Data Warehousing solutions and modern architectures like Lakehouse’s or Delta Lake. Proficiency in visualization tools such as Tableau, Power BI, or Qlik. • Strong problem-solving skills and ability to debug and optimize application applications for performance. • Strong understanding of Database/SQL for database operations and data management. • Familiarity with CI/CD pipelines and version control systems like Git. • Strong understanding of Agile methodologies and working within scrum teams. Preferred Qualifications: • Bachelor of Engineering degree in Computer Science, Information Technology, or a related field. • AWS Certified Solutions Architect – Associate (required). • Experience with Agile/Scrum methodologies and design sprints.

Job Title : MLOPs Engineer NP- Max 30 days Location: Gurgaon/ Bangalore/Noida/Pune Job Description: 5+ Years of prior experience in Data Engineering and MLOPs. 3+ Years of strong exposure in deploying and managing data science pipelines in production environments. Strong proficiency in Python programming language. Experience with Spark/PySpark and distributed computing frameworks. Hands-on experience with CI/CD pipelines and automation tools. Exposure in deploying a use case in production leveraging Generative AI involving prompt engineering and RAG Framework Familiarity with Kafka or similar messaging systems. Strong problem-solving skills and the ability to iterate and experiment to optimize AI model behavior. Excellent problem-solving skills and attention to detail. Ability to communicate effectively with diverse clients/stakeholders. Education Background: Bachelor’s or master’s degree in computer science, Engineering, or a related field. Tier I/II candidates preferred.

About the role We’re looking for Senior Engineering Manager to lead our Data / AI Platform and MLOps teams at slice. In this role, you’ll be responsible for building and scaling a high-performing team that powers data infrastructure, real-time streaming, ML enablement, and data accessibility across the company. You'll partner closely with ML, product, platform, and analytics stakeholders to build robust systems that deliver high-quality, reliable data at scale. You will drive AI initiatives to centrally build AP platform and apps which can be leveraged by various functions like legal, CX, product in a secured manner This is a hands-on leadership role perfect for someone who enjoys solving deep technical problems while growing people and teams. What You Will Do Lead and grow the data platform pod focused on all aspects of data (batch + real-time processing, ML platform, AI tooling, Business reporting, Data products – enabling product experience through data) Maintain hands-on technical leadership - lead by example through code reviews, architecture decisions, and direct technical contribution Partner closely with product and business stakeholders to identify data-driven opportunities and translate business requirements into scalable data solutions Own the technical roadmap for our data platform including infra modernization, performance, scalability, and cost efficiency Drive the development of internal data products like self-serve data access, centralized query layers, and feature stores Build and scale ML infrastructure with MLOps best practices including automated pipelines, model monitoring, and real-time inference systems Lead AI platform development for hosting LLMs, building secure AI applications, and enabling self-service AI capabilities across the organization Implement enterprise AI governance including model security, access controls, and compliance frameworks for internal AI applications Collaborate with engineering leaders across backend, ML, and security to align on long-term data architecture Establish and enforce best practices around data governance, access controls, and data quality Ensure regulatory compliance with GDPR, PCI-DSS, SOX through automated compliance monitoring and secure data pipelines Implement real-time data processing for fraud detection and risk management with end-to-end encryption and audit trails Coach engineers and team leads through regular 1:1s, feedback, and performance conversations What You Will Need 10+ years of engineering experience, including 2+ years managing data or infra teams with proven hands-on technical leadership Strong stakeholder management skills with experience translating business requirements into data solutions and identifying product enhancement opportunities Strong technical background in data platforms, cloud infrastructure (preferably AWS), and distributed systems Experience with tools like Apache Spark, Flink, EMR, Airflow, Trino/Presto, Kafka, and Kubeflow/Ray plus modern stack: dbt, Databricks, Snowflake, Terraform Hands on experience building AI/ML platforms including MLOps tools and experience with LLM hosting, model serving, and secure AI application development Proven experience improving performance, cost, and observability in large-scale data systems Expert-level cloud platform knowledge with container orchestration (Kubernetes, Docker) and Infrastructure-as-Code Experience with real-time streaming architectures (Kafka, Redpanda, Kinesis) Understanding of AI/ML frameworks (TensorFlow, PyTorch), LLM hosting platforms, and secure AI application development patterns Comfort working in fast-paced, product-led environments with ability to balance innovation and regulatory constraints Bonus: Experience with data security and compliance (PII/PCI handling), LLM infrastructure, and fintech regulations Life at slice Life so good, you’d think we’re kidding: Competitive salaries. Period. An extensive medical insurance that looks out for our employees & their dependents. We’ll love you and take care of you, our promise. Flexible working hours. Just don’t call us at 3AM, we like our sleep schedule. Tailored vacation & leave policies so that you enjoy every important moment in your life. A reward system that celebrates hard work and milestones throughout the year. Expect a gift coming your way anytime you kill it here. Learning and upskilling opportunities. Seriously, not kidding. Good food, games, and a cool office to make you feel like home. An environment so good, you’ll forget the term “colleagues can’t be your friends”.

Ignite the Future: Google Ads Specialist for NIO’s Global EV Campaign iProspect and Power NIO’s Electric Revolution! Role : Google Ads Specialist / Performance Marketing Partner Location : Fully Remote – Open to Global Talent Engagement : Project-Based or Monthly Retainer Industry : Electric Vehicles / Smart Mobility / Automotive Application : Submit CV and portfolio via LinkedIn Why This Opportunity? iProspect is partnering with NIO , a trailblazer in smart electric vehicles, to drive a high-octane digital growth campaign across multiple global markets. We’re on the hunt for a Google Ads Specialist or performance agency to fuel NIO’s expansion with electrifying campaigns that spark lead generation, test drive signups, and pre-orders. If you’re passionate about performance marketing and ready to accelerate a world-class EV brand, this is your chance to make an impact! What You’ll Do As our Google Ads Specialist, you’ll take the wheel of high-stakes campaigns, driving results for NIO’s cutting-edge EV lineup. Your mission includes: ⚡️ Launch High-Voltage Campaigns : Design, manage, and optimize Google Ads across Search, Performance Max, Display, and YouTube, targeting key markets like India, UAE, France, Singapore, Germany, and the USA. ⚡️ Target EV Enthusiasts : Conduct in-depth keyword and audience research to reach high-intent EV buyers. ⚡️ Maximize Performance : Optimize for ROAS, CPA, and conversions using smart bidding and advanced attribution strategies. ⚡️ Collaborate on Creativity : Partner with our creative team to craft compelling ad copy, landing pages, and visuals that convert. ⚡️ Deliver Actionable Insights : Provide clear, data-driven performance reports with recommendations to keep campaigns charging forward. Who We’re Looking For We need a performance marketing pro who thrives on delivering results. Here’s what we’re seeking: ✅ Proven Expertise : Hands-on experience managing Google Ads budgets of $5,000+/month, with a strong portfolio in e-commerce, mobility, or similar industries. ✅ Technical Mastery : Deep knowledge of Performance Max, smart bidding, and attribution models. ✅ Strategic Mindset : Ability to analyze data and optimize campaigns for maximum impact. ✅ Bonus Points : Experience in EV, clean tech, or automotive sectors, and fluency in additional languages beyond English. ✅ Communication Skills : Fluent in English, with the ability to collaborate seamlessly with global teams. Why You’ll Love This Project 💰 Competitive Compensation : Flexible pay structure (fixed fee or percentage of ad spend), with performance bonuses tied to KPIs like ROAS and lead quality. 🌍 Global Impact : Work on a high-profile campaign for a leading EV brand across multiple dynamic markets. 🚀 Creative Freedom : Collaborate with a world-class team to shape innovative campaigns for a forward-thinking industry. ⚙️ Cutting-Edge Tools : Access top-tier platforms to elevate your performance marketing game. Ready to Accelerate NIO’s Growth? We’re looking for bold, results-driven talent to join this electrifying project! To apply, send us: 📄 Your CV, highlighting experience with high-budget campaigns. 📊 A portfolio showcasing your best work in performance marketing. 📩 Submit via LinkedIn or the provided email address : hr@iprospectcreative.com About iProspect & NIO iProspect is a global growth partner for innovative brands, specializing in market expansion, creative strategy, and performance marketing. Our collaboration with NIO , a pioneer in smart electric vehicles, is redefining mobility through bold campaigns and cutting-edge technology. Let’s charge toward a sustainable future together! Apply now and let’s make sparks fly!

Join us as a Solution Architect This is an opportunity for an experienced Solution Architect to help us define the high-level technical architecture and design for a key data analytics and insights platform that powers the personalised customer engagement initiatives of the business You’ll define and communicate a shared technical and architectural vision of end-to-end designs that may span multiple platforms and domains Take on this exciting new challenge and hone your technical capabilities while advancing your career and building your network across the bank We're offering this role at vice president level What you'll do We’ll look to you to influence and promote the collaboration across platform and domain teams on the solution delivery. Partnering with platform and domain teams, you’ll elaborate the solution and its interfaces, validating technology assumptions, evaluating implementation alternatives, and creating the continuous delivery pipeline. You’ll also provide analysis of options and deliver end-to-end solution designs using the relevant building blocks, as well as producing designs for features that allow frequent incremental delivery of customer value. On Top Of This, You’ll Be Owning the technical design and architecture development that aligns with bank-wide enterprise architecture principles, security standards, and regulatory requirements Participating in activities to shape requirements, validating designs and prototypes to deliver change that aligns with the target architecture Promoting adaptive design practices to drive collaboration of feature teams around a common technical vision using continuous feedback Making recommendations of potential impacts to existing and prospective customers of the latest technology and customer trends Engaging with the wider architecture community within the bank to ensure alignment with enterprise standards Presenting solutions to governance boards and design review forums to secure approvals Maintaining up-to-date architectural documentation to support audits and risk assessment The skills you'll need As a Solution Architect, you’ll bring expert knowledge of application architecture, and in business data or infrastructure architecture with working knowledge of industry architecture frameworks such as TOGAF or ArchiMate. You’ll also need an understanding of Agile and contemporary methodologies with experience of working in Agile teams. A certification in cloud solutions like AWS Solution Architect is desirable while an awareness of agentic AI based application architectures using LLMs like OpenAI and agentic frameworks like LangGraph, CrewAI will be advantageous. Furthermore, You’ll Need Strong experience in solution design, enterprise architecture patterns, and cloud-native applications including the ability to produce multiple views to highlight different architectural concerns A familiarity with understanding big data processing in the banking industry Hands-on experience in AWS services, including but not limited to S3, Lambda, EMR, DynamoDB and API Gateway An understanding of big data processing using frameworks or platforms like Spark, EMR, Kafka, Apache Flink or similar Knowledge of real-time data processing, event-driven architectures, and microservices Conceptual understanding of data modelling and analytics, machine learning or deep-learning models The ability to communicate complex technical concepts clearly to peers and leadership level colleagues

Responsibilities / Tasks Responsible for production planning and materials management with an aim to meet customer delivery schedule with optimum lead-time, inventory and utilization of workshop capacity. Define project schedule according to established manufacturing sequence and lead time. Periodic progress review, monitoring, tracking and updating projects progress as per plan. Proactively identify schedule and cost variations and take necessary actions. Organize and manage review meetings with internal stakeholders, group customers and manage correspondence. Identifying and resolving issues that arise during the project lifecycle. Monitor and align availability of inputs (drawing & materials) as per workshop loading plan. Advance planning and procurement of long-lead items to meet customer delivery schedule. Sub-contracting planning and procurement as per delivery schedule. Study build package/drawing set and define procurement strategy for all materials and accordingly define the material master in SAP. Study build package/drawing set and create multi-level manufacturing bill of material (BOM) in SAP according to procurement strategy and manufacturing sequence. Create Project, WBS structure and generate demands in SAP. Do material requirement planning (MRP) and generate purchase requisitions and planned orders. Release production orders for in-house manufacturing items. Allocation of available materials to project and utilization of inventory. Manage revision of build package and accordingly update the schedule, BOM, production orders and timely communicate to all stakeholders. Establish and monitor SAP parameters including safety stock and maintain optimum inventory of raw material and long lead items to achieve customer delivery requirements. Co-ordination with cross functions for smooth execution of assigned projects. Packing and dispatch planning and preparation of related documents. Contribute to various organization initiatives related to Lean, 5S, SOC, BBS, ISO, Digitalization, New Product Development, Lead Time Reduction etc. Maintain trustworthy relationships with all stakeholders and group customers. Experience and knowledge of SS equipment fabrication for Dairy, Pharma and Food applications. Your Profile / Qualifications Degree or Diploma in Mechanical/Fabrication/Production Engineering with 8 to 12 years of experience preferably in production planning in fabrication industries. Broad knowledge and understanding of production planning and materials management in project driven make to order manufacturing environment. Working knowledge of project planning software MS Project and SAP PP, PS & MM Modules. Should be familiar with operational excellence tools like Lean, 5S, Gemba, Kaizen and ISO 9001, 14001 & 45001. Should have the ability to manage assigned projects / tasks independently. Positive mindset, quick learner, team player and customer centric approach. Strong analytical and problem-solving skills. Strong communication skills in English. Did we spark your interest? Then please click apply above to access our guided application process.

We're Hiring: IT Recruiter (2 to 5 Years Experience) Are you a tech-savvy recruiter with a passion for finding the right talent in a fast-paced IT world? We’re looking for someone just like you! What You’ll Do: * Partner with hiring managers to understand job requirements and team dynamics * Source & screen candidates via LinkedIn, portals, referrals, and internal databases * Conduct initial technical assessments for role suitability * Build strong pipelines across key tech domains: Programming: Java, Python, .NET, JavaScript, Node.js, React, Angular Cloud: AWS, Azure, GCP DevOps: Jenkins, Docker, Kubernetes, Terraform, Ansible Data: SQL, NoSQL, Hadoop, Spark, Power BI, Tableau ERP/CRM: SAP, Salesforce Testing: Manual, Automation, Selenium, API Others: Finacle, Murex, Oracle, Unix, PLSQL * Coordinate interviews & ensure smooth candidate experience * Maintain ATS records accurately * Share market insights with hiring managers * Constantly refine sourcing strategies based on trends and data What We’re Looking For: * Bachelor’s degree (technical background a plus) * 2 to 5 years of IT recruitment experience (corporate/agency) * Strong knowledge of tech stacks & IT hiring practices * Excellent communication & stakeholder management * A sharp eye for both technical and cultural fit * Proficiency in ATS, job portals, and LinkedIn Recruiter Apply Now: hr@virtueevarsity.com / 9958100227 Let’s connect and build something impactful together! Job Type: Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Health insurance Provident Fund Application Question(s): Work Location - Bangalore, Bhopal and Delhi Experience: IT Recruiter: 2 years (Required) Work Location: In person

Minimum of 7+ years of experience in the data analytics field. Proven experience with Azure/AWS Databricks in building and optimizing data pipelines, architectures, and datasets. Strong expertise in Scala or Python, PySpark, and SQL for data engineering tasks. Ability to troubleshoot and optimize complex queries on the Spark platform. Knowledge of structured and unstructured data design, modelling, access, and storage techniques. Experience designing and deploying data applications on cloud platforms such as Azure or AWS. Hands-on experience in performance tuning and optimizing code running in Databricks environments. Strong analytical and problem-solving skills, particularly within Big Data environments. Experience with Big Data management tools and technologies including Cloudera, Python, Hive, Scala, Data Warehouse, Data Lake, AWS, Azure. Technical and Professional Skills: Must Have: Excellent communication skills with the ability to interact directly with customers. Azure/AWS Databricks. Python / Scala / Spark / PySpark. Strong SQL and RDBMS expertise. HIVE / HBase / Impala / Parquet. Sqoop, Kafka, Flume. Airflow.

Job Description We are looking for a Big Data Engineer who will work on building, and managing Big Data Pipelines for us to deal with the huge structured data sets that we use as an input to accurately generate analytics at scale for our valued Customers. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company. Core Responsibilities Design, build, and maintain robust data pipelines (batch or streaming) that process and transform data from diverse sources. Ensure data quality, reliability, and availability across the pipeline lifecycle. Collaborate with product managers, architects, and engineering leads to define technical strategy. Participate in code reviews, testing, and deployment processes to maintain high standards. Own smaller components of the data platform or pipelines and take end-to-end responsibility. Continuously identify and resolve performance bottlenecks in data pipelines. Take initiatives, and show the drive to pick up new stuff proactively, and work as a Senior Individual contributor on the multiple products and features we have. Required Qualifications 5 to 7 years of experience in Big Data or data engineering roles. JVM based languages like Java or Scala are preferred. For someone having solid Big Data experience, Python would also be OK. Proven and demonstrated experience working with distributed Big Data tools and processing frameworks like Apache Spark or equivalent (for processing), Kafka or Flink (for streaming), and Airflow or equivalent (for orchestration). Familiarity with cloud platforms (e.g., AWS, GCP, or Azure), including services like S3, Glue, BigQuery, or EMR. Ability to write clean, efficient, and maintainable code. Good understanding of data structures, algorithms, and object-oriented programming. Tooling & Ecosystem Use of version control (e.g., Git) and CI/CD tools. Experience with data orchestration tools (Airflow, Dagster, etc.). Understanding of file formats like Parquet, Avro, ORC, and JSON. Basic exposure to containerization (Docker) or infrastructure-as-code (Terraform is a plus). Skills: airflow,pipelines,data engineering,scala,ci,python,flink,aws,data orchestration,java,kafka,gcp,parquet,orc,azure,cd,dagster,ci/cd,git,avro,terraform,json,docker,apache spark,big data

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Job Summary: Build systems for collection & transformation of complex data sets for use in production systems Collaborate with engineers on building & maintaining back-end services Implement data schema and data management improvements for scale and performance Provide insights into key performance indicators for the product and customer usage Serve as team's authority on data infrastructure, privacy controls and data security Collaborate with appropriate stakeholders to understand user requirements Support efforts for continuous improvement, metrics and test automation Maintain operations of live service as issues arise on a rotational, on-call basis Verify whether data architecture meets security and compliance requirements and expectations .Should be able to fast learn and quickly adapt at rapid pace. java/scala, SQL, Minimum Qualifications: Bachelor's degree in computer science, computer engineering or a related field, or equivalent experience 3+ years of progressive experience demonstrating strong architecture, programming and engineering skills. Firm grasp of data structures, algorithms with fluency in programming languages like Java, Python, Scala. Strong SQL language and should be able to write complex queries. Strong Airflow like orchestration tools. Demonstrated ability to lead, partner, and collaborate cross functionally across many engineering organizations Experience with streaming technologies such as Apache Spark, Kafka, Flink. Backend experience including Apache Cassandra, MongoDB and relational databases such as Oracle, PostgreSQL AWS/GCP solid hands on with 4+ years of experience. Strong communication and soft skills. Knowledge and/or experience with containerized environments, Kubernetes, docker. Experience in implementing and maintained highly scalable micro services in Rest, Spring Boot, GRPC. Appetite for trying new things and building rapid POCs" Key Responsibilities : Design, develop, and maintain scalable data pipelines to support data ingestion, processing, and storage Implement data integration solutions to consolidate data from multiple sources into a centralized data warehouse or data lake Collaborate with data scientists and analysts to understand data requirements and translate them into technical specifications Ensure data quality and integrity by implementing robust data validation and cleansing processes Optimize data pipelines for performance, scalability, and reliability. Develop and maintain ETL (Extract, Transform, Load) processes using tools such as Apache Spark, Apache NiFi, or similar technologies .Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal downtimeImplement best practices for data management, security, and complianceDocument data engineering processes, workflows, and technical specificationsStay up-to-date with industry trends and emerging technologies in data engineering and big data. Compensation: If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 25 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

About the Role: This position requires someone to work on complex technical projects and closely work with peers in an innovative and fast-paced environment. For this role, we require someone with a strong product design sense & specialized in Hadoop and Spark technologies. Requirements: Minimum 6-8 years of experience in Big Data technologies. The position Grow our analytics capabilities with faster, more reliable tools, handling petabytes of data every day. Brainstorm and create new platforms that can help in our quest to make available to cluster users in all shapes and forms, with low latency and horizontal scalability. Make changes to our diagnosing any problems across the entire technical stack. Design and develop a real-time events pipeline for Data ingestion for real-time dash- boarding. Develop complex and efficient functions to transform raw data sources into powerful, reliable components of our data lake. Design & implement new components and various emerging technologies in Hadoop Eco- System, and successful execution of various projects. Be a brand ambassador for Paytm – Stay Hungry, Stay Humble, Stay Relevant! Preferred Qualification : Bachelor's/Master's Degree in Computer Science or equivalent Skills that will help you succeed in this role: Fluent with Strong hands-on experience with Hadoop, MapReduce, Hive, Spark, PySpark etc. Excellent programming/debugging skills in Python/Java/Scala. Experience with any scripting language such as Python, Bash etc. Good to have experience of working with noSQL databases like Hbase, Cassandra. Hands-on programming experience with multithreaded applications. Good to have experience in Database, SQL, messaging queues like Kafka. Good to have experience in developing streaming applications e.g. Spark Streaming, Flink, Storm, etc. Good to have experience with AWS and cloud technologies such as S3Experience with caching architectures like Redis etc. Why join us: Because you get an opportunity to make a difference, and have a great time doing that. You are challenged and encouraged here to do stuff that is meaningful for you and for those we serve. You should work with us if you think seriously about what technology can do for people. We are successful, and our successes are rooted in our people's collective energy and unwavering focus on the customer, and that's how it will always be. To know more about exiting work we do:https://paytm.com/blog/engineering/ Compensation: If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

Data Engineering – Technical Lead About Us: Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. Paytm provides consumers with services like utility payments and money transfers, while empowering them to pay via Paytm Payment Instruments (PPI) like Paytm Wallet, Paytm UPI, Paytm Payments Bank Netbanking, Paytm FASTag and Paytm Postpaid - Buy Now, Pay Later. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the Role: This position requires someone to work on complex technical projects and closely work with peers in an innovative and fast-paced environment. For this role, we require someone with a strong product design sense & specialized in Hadoop and Spark technologies. Requirements: Minimum 6+ years of experience in Big Data technologies. The position Grow our analytics capabilities with faster, more reliable tools, handling petabytes of data every day. Brainstorm and create new platforms that can help in our quest to make available to cluster users in all shapes and forms, with low latency and horizontal scalability. Make changes to our diagnosing any problems across the entire technical stack. Design and develop a real-time events pipeline for Data ingestion for real-time dash- boarding. Develop complex and efficient functions to transform raw data sources into powerful, reliable components of our data lake. Design & implement new components and various emerging technologies in Hadoop Eco- System, and successful execution of various projects. Be a brand ambassador for Paytm – Stay Hungry, Stay Humble, Stay Relevant! Skills that will help you succeed in this role: Fluent with Strong hands-on experience with Hadoop, MapReduce, Hive, Spark, PySpark etc. Excellent programming/debugging skills in Python/Scala. Experience with AWS services such as S3, EMR, Glue, Athena etc. Experience with Kafka. Experience with SQL. Experience with Jira, bitbucket, Jenkins. Experience with any scripting language such as Python, Bash etc. Good to have experience of working with noSQL databases like Hbase, Cassandra. Good to have hands-on programming experience with multithreaded applications. Good to have experience in developing streaming applications e.g. Spark Streaming, Flink, Storm, etc. Why join us Because you get an opportunity to make a difference, and have a great time doing that. You are challenged and encouraged here to do stuff that is meaningful for you and for those we serve. You should work with us if you think seriously about what technology can do for people. We are successful, and our successes are rooted in our people's collective energy and unwavering focus on the customer, and that's how it will always be. Compensation: If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

Be the spark that brightens days and ignite your career with TTEC’s award-winning employment experience. As a Chat Customer Service Representative working on site in Ahmedabad, Gujarat (Opp. L.J. Group of Institutes, Off S.G. Highway, Makarba), you’ll be a part of bringing humanity to business. #experienceTTEC Apply in-person for immediate interview - Monday to Friday - 10:30 AM to 4:00 PM Interested in Relocating? Virtual interviews accepted as well What You’ll Be Doing Do you have a passion for helping others and giving them peace of mind? In this role, you'll work to resolve customer issues via chat services including chat, text, email, social media, direct messaging as well as other nonverbal platforms. Whether it’s getting answers for customers quickly, consulting on products with compassion or resolving their issues with a smile, you’ll be the difference between their customer experience being just average or an exceptional one You'll report to Team Lead. You’ll contribute to the success of the customer experience as well as the overall success of the team. During a Typical Day, You’ll Answer incoming communications from customers Connect and resolve issues with customers using written communication only What You Bring To The Role 1 year or more customer service experience – Freshers welcome to apply Great written communication skills including grammar and spelling High School Diploma Computer savvy Flexibility to work in a 24/7 environment What You Can Expect Knowledgeable, encouraging, supporting and present leadership Diverse and community minded organization Career-growth and lots of learning opportunities for aspiring minds And yes...all the competitive compensation, performance bonus opportunities, and benefits you'd expect and maybe a few that would pleasantly surprise you A Bit More About Your Role We’ll train you to be a subject matter expert in your field, so you can be confident in providing the highest level of service possible whether through voice, chat or email interactions. We trust you already have the necessary ingredient that can’t be taught – a caring and supportive nature that will shine through as you help customers. You’ll also have a chance to make great new friends within the TTEC community and grow your career in a dynamic, family-friendly atmosphere. You'll report to Team Lead. You’ll contribute to the success of the customer experience as well as the overall success of the team. About TTEC Our business is about making customers happy. That’s all we do. Since 1982, we’ve helped companies build engaged, pleased, profitable customer experiences powered by our combination of humanity and technology. On behalf of many of the world’s leading iconic and disruptive brands, we talk, message, text, and video chat with millions of customers every day. These exceptional customer experiences start with you. TTEC is proud to be an equal opportunity employer where all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. TTEC embraces and is committed to building a diverse and inclusive workforce that respects and empowers the culture and perspectives within our global teams. We strive to reflect the communities we serve by not only delivering amazing service and technology, but also humanity. We make it a point to make sure all our employees feel valued and comfortable being their authentic selves at work. As a global company, we know diversity is our strength. It enables us to view projects and ideas from different vantage points and allows every individual to bring value to the table in their own unique way. Primary Location India-Gujarat-Ahmedabad Job _Customer Care Representative

Greetings from BCforward INDIA TECHNOLOGIES PRIVATE LIMITED. Contract To Hire(C2H) Role Location: Gurgaon Payroll: BCforward Work Mode: Hybrid JD Skills: Big Data; ETL - Big Data / Data Warehousing; GCP; Adobe Experience Manager (AEM) Primary Skills : GCP, Adobe suit (like AEP, CJA, CDP), SQL, Big data, Python Secondary Skills : Airflow, Hive, Spark, Unix Shell scripting , Data warehousing concept Please share your Updated Resume, PAN card soft copy, Passport size Photo & UAN History. Interested applicants can share updated resume to g.sreekanth@bcforward.com Note: Looking for Immediate to 30-Days joiners at most. All the best 👍

About Us: Planet Spark is reshaping the EdTech landscape by equipping kids and young adults with future-ready skills like public speaking, and more. We're on a mission to spark curiosity, creativity, and confidence in learners worldwide. If you're passionate about meaningful impact, growth, and innovation—you're in the right place. Location: Gurgaon (On-site) Experience Level: Entry to Early Career (Freshers welcome!) Shift Options: Domestic | Middle East | International Working Days: 5 days/week (Wednesday & Thursday off) | Weekend availability required Target Joiners: Any (Bachelor’s or Master’s) 🔥 What You'll Be Owning (Your Impact): Lead Activation: Engage daily with high-intent leads through dynamic channels—calls, video consults, and more. Sales Funnel Pro: Own the full sales journey—from first hello to successful enrollment. Consultative Selling: Host personalized video consultations with parents/adult learners, pitch trial sessions, and resolve concerns with clarity and empathy. Target Slayer: Consistently crush weekly revenue goals and contribute directly to Planet Spark’s growth engine. Client Success: Ensure a smooth onboarding experience and transition for every new learner. Upskill Mindset: Participate in hands-on training, mentorship, and feedback loops to constantly refine your game. 💡 Why Join Sales at Planet Spark? Only Warm Leads: Skip the cold calls—our leads already know us and have completed a demo session. High-Performance Culture: Be part of a fast-paced, energetic team that celebrates success and rewards hustle. Career Fast-Track: Unlock rapid promotions, performance bonuses, and leadership paths. Top-Notch Training: Experience immersive onboarding, live role-plays, and access to ongoing L&D programs. Rewards & Recognition: Weekly shoutouts, cash bonuses, and exclusive events to celebrate your wins. Make Real Impact: Help shape the minds of tomorrow while building a powerhouse career today. 🎯 What You Bring to the Table: Communication Powerhouse: You can build trust and articulate ideas clearly in both spoken and written formats. Sales-Driven: You know how to influence decisions, navigate objections, and close deals with confidence. Empathy First: You genuinely care about clients’ goals and tailor your approach to meet them. Goal-Oriented: You’re self-driven, proactive, and hungry for results. Tech Fluent: Comfortable using CRMs, video platforms, and productivity tools. ✨ What’s in It for You? 💼 High-growth sales career with serious earning potential 🌱 Continuous upskilling in EdTech, sales, and communication 🧘 Supportive culture that values growth and well-being 🎯 Opportunity to work at the cutting edge of education innovation

Job Title: Lead Platform Engineer – AWS Data Platform Location: Hybrid – Hyderabad, Telangana Experience: 10+ years Employment Type: Full-Time Apply Now --- About the Role Infoslab is hiring on behalf of our client, a leading healthcare technology company committed to transforming healthcare through data. We are seeking a Lead Platform Engineer to architect, implement, and lead the development of a secure, scalable, and cloud-native data platform on AWS. This role combines deep technical expertise with leadership responsibilities. You will build the foundation that supports critical business intelligence, analytics, and machine learning applications across the organization. --- Key Responsibilities Architect and build a highly available, cloud-native data platform using AWS services such as S3, Glue, Redshift, Lambda, and ECS. Design reusable platform components and frameworks to support data engineering, analytics, and ML pipelines. Build and maintain CI/CD pipelines, GitOps workflows, and infrastructure-as-code using Terraform. Drive observability, operational monitoring, and incident response processes across environments. Ensure platform security, compliance (HIPAA, SOC2), and audit-readiness in partnership with InfoSec. Lead and mentor a team of platform engineers, promoting best practices in DevOps and cloud infrastructure. Collaborate with cross-functional teams to deliver reliable and scalable data platform capabilities. --- Required Skills and Experience 10+ years of experience in platform engineering, DevOps, or infrastructure roles with a data focus. 3+ years in technical leadership or platform engineering management. Deep experience with AWS services, including S3, Glue, Redshift, Lambda, ECS, and Athena. Strong hands-on experience with Python or Scala, and automation tooling. Proficient in Terraform and CI/CD tools (GitHub Actions, Jenkins, etc.). Advanced knowledge of Apache Spark for both batch and streaming workloads. Proven track record of building secure, scalable, and compliant infrastructure. Strong understanding of observability, reliability engineering, and infrastructure automation. --- Preferred Qualifications Experience with containerization and orchestration (Docker, Kubernetes). Familiarity with Data Mesh principles or domain-driven data platform design. Background in healthcare or other regulated industries. Experience integrating data platforms with BI tools like Tableau or Looker. --- Why Join Contribute to a mission-driven client transforming healthcare through intelligent data platforms. Lead high-impact platform initiatives that support diagnostics, research, and machine learning. Work with modern engineering practices including IaC, GitOps, and serverless architectures. Be part of a collaborative, hybrid work culture focused on innovation and technical excellence.

About Us: Planet Spark is reshaping the EdTech landscape by equipping kids and young adults with future-ready skills like public speaking, and more. We're on a mission to spark curiosity, creativity, and confidence in learners worldwide. If you're passionate about meaningful impact, growth, and innovation—you're in the right place. Location: Gurgaon (On-site) Experience Level: Entry to Early Career (Freshers welcome!) Shift Options: Domestic | Middle East | International Working Days: 5 days/week (Wednesday & Thursday off) | Weekend availability required Target Joiners: Any (Bachelor’s or Master’s) 🔥 What You'll Be Owning (Your Impact): Lead Activation: Engage daily with high-intent leads through dynamic channels—calls, video consults, and more. Sales Funnel Pro: Own the full sales journey—from first hello to successful enrollment. Consultative Selling: Host personalized video consultations with parents/adult learners, pitch trial sessions, and resolve concerns with clarity and empathy. Target Slayer: Consistently crush weekly revenue goals and contribute directly to Planet Spark’s growth engine. Client Success: Ensure a smooth onboarding experience and transition for every new learner. Upskill Mindset: Participate in hands-on training, mentorship, and feedback loops to constantly refine your game. 💡 Why Join Sales at Planet Spark? Only Warm Leads: Skip the cold calls—our leads already know us and have completed a demo session. High-Performance Culture: Be part of a fast-paced, energetic team that celebrates success and rewards hustle. Career Fast-Track: Unlock rapid promotions, performance bonuses, and leadership paths. Top-Notch Training: Experience immersive onboarding, live role-plays, and access to ongoing L&D programs. Rewards & Recognition: Weekly shoutouts, cash bonuses, and exclusive events to celebrate your wins. Make Real Impact: Help shape the minds of tomorrow while building a powerhouse career today. 🎯 What You Bring to the Table: Communication Powerhouse: You can build trust and articulate ideas clearly in both spoken and written formats. Sales-Driven: You know how to influence decisions, navigate objections, and close deals with confidence. Empathy First: You genuinely care about clients’ goals and tailor your approach to meet them. Goal-Oriented: You’re self-driven, proactive, and hungry for results. Tech Fluent: Comfortable using CRMs, video platforms, and productivity tools. ✨ What’s in It for You? 💼 High-growth sales career with serious earning potential 🌱 Continuous upskilling in EdTech, sales, and communication 🧘 Supportive culture that values growth and well-being 🎯 Opportunity to work at the cutting edge of education innovation

About Us: Planet Spark is reshaping the EdTech landscape by equipping kids and young adults with future-ready skills like public speaking, and more. We're on a mission to spark curiosity, creativity, and confidence in learners worldwide. If you're passionate about meaningful impact, growth, and innovation—you're in the right place. Location: Gurgaon (On-site) Experience Level: Entry to Early Career (Freshers welcome!) Shift Options: Domestic | Middle East | International Working Days: 5 days/week (Wednesday & Thursday off) | Weekend availability required Target Joiners: Any (Bachelor’s or Master’s) 🔥 What You'll Be Owning (Your Impact): Lead Activation: Engage daily with high-intent leads through dynamic channels—calls, video consults, and more. Sales Funnel Pro: Own the full sales journey—from first hello to successful enrollment. Consultative Selling: Host personalized video consultations with parents/adult learners, pitch trial sessions, and resolve concerns with clarity and empathy. Target Slayer: Consistently crush weekly revenue goals and contribute directly to Planet Spark’s growth engine. Client Success: Ensure a smooth onboarding experience and transition for every new learner. Upskill Mindset: Participate in hands-on training, mentorship, and feedback loops to constantly refine your game. 💡 Why Join Sales at Planet Spark? Only Warm Leads: Skip the cold calls—our leads already know us and have completed a demo session. High-Performance Culture: Be part of a fast-paced, energetic team that celebrates success and rewards hustle. Career Fast-Track: Unlock rapid promotions, performance bonuses, and leadership paths. Top-Notch Training: Experience immersive onboarding, live role-plays, and access to ongoing L&D programs. Rewards & Recognition: Weekly shoutouts, cash bonuses, and exclusive events to celebrate your wins. Make Real Impact: Help shape the minds of tomorrow while building a powerhouse career today. 🎯 What You Bring to the Table: Communication Powerhouse: You can build trust and articulate ideas clearly in both spoken and written formats. Sales-Driven: You know how to influence decisions, navigate objections, and close deals with confidence. Empathy First: You genuinely care about clients’ goals and tailor your approach to meet them. Goal-Oriented: You’re self-driven, proactive, and hungry for results. Tech Fluent: Comfortable using CRMs, video platforms, and productivity tools. ✨ What’s in It for You? 💼 High-growth sales career with serious earning potential 🌱 Continuous upskilling in EdTech, sales, and communication 🧘 Supportive culture that values growth and well-being 🎯 Opportunity to work at the cutting edge of education innovation

Description GPP Database Link (https://cummins365.sharepoint.com/sites/CS38534/) Leads projects for design, development and maintenance of a data and analytics platform. Effectively and efficiently process, store and make data available to analysts and other consumers. Works with key business stakeholders, IT experts and subject-matter experts to plan, design and deliver optimal analytics and data science solutions. Works on one or many product teams at a time. Key Responsibilities Designs and automates deployment of our distributed system for ingesting and transforming data from various types of sources (relational, event-based, unstructured). Designs and implements framework to continuously monitor and troubleshoot data quality and data integrity issues. Implements data governance processes and methods for managing metadata, access, retention to data for internal and external users. Designs and provide guidance on building reliable, efficient, scalable and quality data pipelines with monitoring and alert mechanisms that combine a variety of sources using ETL/ELT tools or scripting languages. Designs and implements physical data models to define the database structure. Optimizing database performance through efficient indexing and table relationships. Participates in optimizing, testing, and troubleshooting of data pipelines. Designs, develops and operates large scale data storage and processing solutions using different distributed and cloud based platforms for storing data (e.g. Data Lakes, Hadoop, Hbase, Cassandra, MongoDB, Accumulo, DynamoDB, others). Uses innovative and modern tools, techniques and architectures to partially or completely automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity. Assists with renovating the data management infrastructure to drive automation in data integration and management. Ensures the timeliness and success of critical analytics initiatives by using agile development technologies such as DevOps, Scrum, Kanban Coaches and develops less experienced team members. Responsibilities Competencies: System Requirements Engineering - Uses appropriate methods and tools to translate stakeholder needs into verifiable requirements to which designs are developed; establishes acceptance criteria for the system of interest through analysis, allocation and negotiation; tracks the status of requirements throughout the system lifecycle; assesses the impact of changes to system requirements on project scope, schedule, and resources; creates and maintains information linkages to related artifacts. Collaborates - Building partnerships and working collaboratively with others to meet shared objectives. Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. Customer focus - Building strong customer relationships and delivering customer-centric solutions. Decision quality - Making good and timely decisions that keep the organization moving forward. Data Extraction - Performs data extract-transform-load (ETL) activities from variety of sources and transforms them for consumption by various downstream applications and users using appropriate tools and technologies. Programming - Creates, writes and tests computer code, test scripts, and build scripts using algorithmic analysis and design, industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements. Quality Assurance Metrics - Applies the science of measurement to assess whether a solution meets its intended outcomes using the IT Operating Model (ITOM), including the SDLC standards, tools, metrics and key performance indicators, to deliver a quality product. Solution Documentation - Documents information and solution based on knowledge gained as part of product development activities; communicates to stakeholders with the goal of enabling improved productivity and effective knowledge transfer to others who were not originally part of the initial learning. Solution Validation Testing - Validates a configuration item change or solution using the Function's defined best practices, including the Systems Development Life Cycle (SDLC) standards, tools and metrics, to ensure that it works as designed and meets customer requirements. Data Quality - Identifies, understands and corrects flaws in data that supports effective information governance across operational business processes and decision making. Problem Solving - Solves problems and may mentor others on effective problem solving by using a systematic analysis process by leveraging industry standard methodologies to create problem traceability and protect the customer; determines the assignable cause; implements robust, data-based solutions; identifies the systemic root causes and ensures actions to prevent problem reoccurrence are implemented. Values differences - Recognizing the value that different perspectives and cultures bring to an organization. Education, Licenses, Certifications College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. Experience Intermediate experience in a relevant discipline area is required. Knowledge of the latest technologies and trends in data engineering are highly preferred and includes: 5-8 years of experience Familiarity analyzing complex business systems, industry requirements, and/or data regulations Background in processing and managing large data sets Design and development for a Big Data platform using open source and third-party tools SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework SQL query language Clustered compute cloud-based implementation experience Experience developing applications requiring large file movement for a Cloud-based environment and other data extraction tools and methods from a variety of sources Experience in building analytical solutions Intermediate Experiences In The Following Are Preferred Experience with IoT technology Experience in Agile software development Qualifications Work closely with business Product Owner to understand product vision. Play a key role across DBU Data & Analytics Power Cells to define, develop data pipelines for efficient data transport into Cummins Digital Core ( Azure DataLake, Snowflake). Collaborate closely with AAI Digital Core and AAI Solutions Architecture to ensure alignment of DBU project data pipeline design standards. Independently design, develop, test, implement complex data pipelines from transactional systems (ERP, CRM) to Datawarehouses, DataLake. Responsible for creation, maintenence and management of DBU Data & Analytics data engineering documentation and standard operating procedures (SOP). Take part in evaluation of new data tools, POCs and provide suggestions. Take full ownership of the developed data pipelines, providing ongoing support for enhancements and performance optimization. Proactively address and resolve issues that compromise data accuracy and usability. Preferred Skills Programming Languages: Proficiency in languages such as Python, Java, and/or Scala. Database Management: Expertise in SQL and NoSQL databases. Big Data Technologies: Experience with Hadoop, Spark, Kafka, and other big data frameworks. Cloud Services: Experience with Azure, Databricks and AWS cloud platforms. ETL Processes: Strong understanding of Extract, Transform, Load (ETL) processes. Data Replication: Working knowledge of replication technologies like Qlik Replicate is a plus API: Working knowledge of API to consume data from ERP, CRM

Description GPP Database Link (https://cummins365.sharepoint.com/sites/CS38534/) Supports, develops and maintains a data and analytics platform. Effectively and efficiently process, store and make data available to analysts and other consumers. Works with the Business and IT teams to understand the requirements to best leverage the technologies to enable agile data delivery at scale. Key Responsibilities Implements and automates deployment of our distributed system for ingesting and transforming data from various types of sources (relational, event-based, unstructured). Implements methods to continuously monitor and troubleshoot data quality and data integrity issues. Implements data governance processes and methods for managing metadata, access, retention to data for internal and external users. Develops reliable, efficient, scalable and quality data pipelines with monitoring and alert mechanisms that combine a variety of sources using ETL/ELT tools or scripting languages. Develops physical data models and implements data storage architectures as per design guidelines. Analyzes complex data elements and systems, data flow, dependencies, and relationships in order to contribute to conceptual physical and logical data models. Participates in testing and troubleshooting of data pipelines. Develops and operates large scale data storage and processing solutions using different distributed and cloud based platforms for storing data (e.g. Data Lakes, Hadoop, Hbase, Cassandra, MongoDB, Accumulo, DynamoDB, others). Uses agile development technologies, such as DevOps, Scrum, Kanban and continuous improvement cycle, for data driven application. Responsibilities Competencies: System Requirements Engineering - Uses appropriate methods and tools to translate stakeholder needs into verifiable requirements to which designs are developed; establishes acceptance criteria for the system of interest through analysis, allocation and negotiation; tracks the status of requirements throughout the system lifecycle; assesses the impact of changes to system requirements on project scope, schedule, and resources; creates and maintains information linkages to related artifacts. Collaborates - Building partnerships and working collaboratively with others to meet shared objectives. Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. Customer focus - Building strong customer relationships and delivering customer-centric solutions. Decision quality - Making good and timely decisions that keep the organization moving forward. Data Extraction - Performs data extract-transform-load (ETL) activities from variety of sources and transforms them for consumption by various downstream applications and users using appropriate tools and technologies. Programming - Creates, writes and tests computer code, test scripts, and build scripts using algorithmic analysis and design, industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements. Quality Assurance Metrics - Applies the science of measurement to assess whether a solution meets its intended outcomes using the IT Operating Model (ITOM), including the SDLC standards, tools, metrics and key performance indicators, to deliver a quality product. Solution Documentation - Documents information and solution based on knowledge gained as part of product development activities; communicates to stakeholders with the goal of enabling improved productivity and effective knowledge transfer to others who were not originally part of the initial learning. Solution Validation Testing - Validates a configuration item change or solution using the Function's defined best practices, including the Systems Development Life Cycle (SDLC) standards, tools and metrics, to ensure that it works as designed and meets customer requirements. Data Quality - Identifies, understands and corrects flaws in data that supports effective information governance across operational business processes and decision making. Problem Solving - Solves problems and may mentor others on effective problem solving by using a systematic analysis process by leveraging industry standard methodologies to create problem traceability and protect the customer; determines the assignable cause; implements robust, data-based solutions; identifies the systemic root causes and ensures actions to prevent problem reoccurrence are implemented. Values differences - Recognizing the value that different perspectives and cultures bring to an organization. Education, Licenses, Certifications College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. Experience 4-5 Years of experience. Relevant experience preferred such as working in a temporary student employment, intern, co-op, or other extracurricular team activities. Knowledge of the latest technologies in data engineering is highly preferred and includes: Exposure to Big Data open source SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework SQL query language Clustered compute cloud-based implementation experience Familiarity developing applications requiring large file movement for a Cloud-based environment Exposure to Agile software development Exposure to building analytical solutions Exposure to IoT technology Qualifications Work closely with business Product Owner to understand product vision. Participate in DBU Data & Analytics Power Cells to define, develop data pipelines for efficient data transport into Cummins Digital Core ( Azure DataLake, Snowflake). Collaborate closely with AAI Digital Core and AAI Solutions Architecture to ensure alignment of DBU project data pipeline design standards. Work under limited supervision to design, develop, test, implement complex data pipelines from transactional systems (ERP, CRM) to Datawarehouses, DataLake. Responsible for creation of DBU Data & Analytics data engineering documentation and standard operating procedures (SOP) with guidance and help from senior data engineers. Take part in evaluation of new data tools, POCs with guidance and help from senior data engineers. Take ownership of the developed data pipelines, providing ongoing support for enhancements and performance optimization under limited supervision. Assist to resolve issues that compromise data accuracy and usability. Programming Languages: Proficiency in languages such as Python, Java, and/or Scala. Database Management: Intermediate level expertise in SQL and NoSQL databases. Big Data Technologies: Experience with Hadoop, Spark, Kafka, and other big data frameworks. Cloud Services: Experience with Azure, Databricks and AWS cloud platforms. ETL Processes: Strong understanding of Extract, Transform, Load (ETL) processes. API: Working knowledge of API to consume data from ERP, CRM

General information Country India State Telangana City Hyderabad Job ID 45479 Department Development Description & Requirements Senior Java Developer is responsible for architecting and developing advanced Java solutions. This role involves leading the design and implementation of microservice architectures with Spring Boot, optimizing services for performance and scalability, and ensuring code quality. The Senior Developer will also mentor junior developers and collaborate closely with cross-functional teams to deliver comprehensive technical solutions. Essential Duties: Lead the development of scalable, robust, and secure Java components and services. Architect and optimize microservice solutions using Spring Boot. Translate customer requirements into comprehensive technical solutions. Conduct code reviews and maintain high code quality standards. Optimize and scale microservices for performance and reliability. Collaborate effectively with cross-functional teams to innovate and develop solutions. Experience in leading projects and mentoring engineers in best practices and innovative solutions. Coordinate with customer and client-facing teams for effective solution delivery. Basic Qualifications: Bachelor’s degree in Computer Science or a related field. 7-9 years of experience in Java development. Expertise in designing and implementing Microservices with Spring Boot. Extensive experience in applying design patterns, system design principles, and expertise in event-driven and domain-driven design methodologies. Extensive experience with multithreading, asynchronous and defensive programming. Proficiency in MongoDB, SQL databases, and S3 data storage. Experience with Kafka, Kubernetes, AWS services & AWS SDK. Hands-on experience with Apache Spark. Strong knowledge of Linux, Git, and Docker. Familiarity with Agile methodologies and tools like Jira and Confluence. Excellent communication and leadership skills. Preferred Qualifications Experience with Spark using Spring Boot. Familiarity with the C4 Software Architecture Model. Experience using tools like Lucidchart for architecture and flow diagrams. About Infor Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. For more information visit www.infor.com Our Values At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future. We have a relentless commitment to a culture based on PBM. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees. Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the infor.com/about/careers webpage.

Description GPP Database Link (https://cummins365.sharepoint.com/sites/CS38534/) Leads projects for design, development and maintenance of a data and analytics platform. Effectively and efficiently process, store and make data available to analysts and other consumers. Works with key business stakeholders, IT experts and subject-matter experts to plan, design and deliver optimal analytics and data science solutions. Works on one or many product teams at a time. Key Responsibilities Designs and automates deployment of our distributed system for ingesting and transforming data from various types of sources (relational, event-based, unstructured). Designs and implements framework to continuously monitor and troubleshoot data quality and data integrity issues. Implements data governance processes and methods for managing metadata, access, retention to data for internal and external users. Designs and provide guidance on building reliable, efficient, scalable and quality data pipelines with monitoring and alert mechanisms that combine a variety of sources using ETL/ELT tools or scripting languages. Designs and implements physical data models to define the database structure. Optimizing database performance through efficient indexing and table relationships. Participates in optimizing, testing, and troubleshooting of data pipelines. Designs, develops and operates large scale data storage and processing solutions using different distributed and cloud based platforms for storing data (e.g. Data Lakes, Hadoop, Hbase, Cassandra, MongoDB, Accumulo, DynamoDB, others). Uses innovative and modern tools, techniques and architectures to partially or completely automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity. Assists with renovating the data management infrastructure to drive automation in data integration and management. Ensures the timeliness and success of critical analytics initiatives by using agile development technologies such as DevOps, Scrum, Kanban Coaches and develops less experienced team members. Responsibilities Competencies: System Requirements Engineering - Uses appropriate methods and tools to translate stakeholder needs into verifiable requirements to which designs are developed; establishes acceptance criteria for the system of interest through analysis, allocation and negotiation; tracks the status of requirements throughout the system lifecycle; assesses the impact of changes to system requirements on project scope, schedule, and resources; creates and maintains information linkages to related artifacts. Collaborates - Building partnerships and working collaboratively with others to meet shared objectives. Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. Customer focus - Building strong customer relationships and delivering customer-centric solutions. Decision quality - Making good and timely decisions that keep the organization moving forward. Data Extraction - Performs data extract-transform-load (ETL) activities from variety of sources and transforms them for consumption by various downstream applications and users using appropriate tools and technologies. Programming - Creates, writes and tests computer code, test scripts, and build scripts using algorithmic analysis and design, industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements. Quality Assurance Metrics - Applies the science of measurement to assess whether a solution meets its intended outcomes using the IT Operating Model (ITOM), including the SDLC standards, tools, metrics and key performance indicators, to deliver a quality product. Solution Documentation - Documents information and solution based on knowledge gained as part of product development activities; communicates to stakeholders with the goal of enabling improved productivity and effective knowledge transfer to others who were not originally part of the initial learning. Solution Validation Testing - Validates a configuration item change or solution using the Function's defined best practices, including the Systems Development Life Cycle (SDLC) standards, tools and metrics, to ensure that it works as designed and meets customer requirements. Data Quality - Identifies, understands and corrects flaws in data that supports effective information governance across operational business processes and decision making. Problem Solving - Solves problems and may mentor others on effective problem solving by using a systematic analysis process by leveraging industry standard methodologies to create problem traceability and protect the customer; determines the assignable cause; implements robust, data-based solutions; identifies the systemic root causes and ensures actions to prevent problem reoccurrence are implemented. Values differences - Recognizing the value that different perspectives and cultures bring to an organization. Education, Licenses, Certifications College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. Experience Intermediate experience in a relevant discipline area is required. Knowledge of the latest technologies and trends in data engineering are highly preferred and includes: 5-8 years of experince Familiarity analyzing complex business systems, industry requirements, and/or data regulations Background in processing and managing large data sets Design and development for a Big Data platform using open source and third-party tools SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework SQL query language Clustered compute cloud-based implementation experience Experience developing applications requiring large file movement for a Cloud-based environment and other data extraction tools and methods from a variety of sources Experience in building analytical solutions Intermediate Experiences In The Following Are Preferred Experience with IoT technology Experience in Agile software development Qualifications Work closely with business Product Owner to understand product vision. Play a key role across DBU Data & Analytics Power Cells to define, develop data pipelines for efficient data transport into Cummins Digital Core ( Azure DataLake, Snowflake). Collaborate closely with AAI Digital Core and AAI Solutions Architecture to ensure alignment of DBU project data pipeline design standards. Independently design, develop, test, implement complex data pipelines from transactional systems (ERP, CRM) to Datawarehouses, DataLake. Responsible for creation, maintenence and management of DBU Data & Analytics data engineering documentation and standard operating procedures (SOP). Take part in evaluation of new data tools, POCs and provide suggestions. Take full ownership of the developed data pipelines, providing ongoing support for enhancements and performance optimization. Proactively address and resolve issues that compromise data accuracy and usability. Preferred Skills Programming Languages: Proficiency in languages such as Python, Java, and/or Scala. Database Management: Expertise in SQL and NoSQL databases. Big Data Technologies: Experience with Hadoop, Spark, Kafka, and other big data frameworks. Cloud Services: Experience with Azure, Databricks and AWS cloud platforms. ETL Processes: Strong understanding of Extract, Transform, Load (ETL) processes. Data Replication: Working knowledge of replication technologies like Qlik Replicate is a plus API: Working knowledge of API to consume data from ERP, CRM

About Client :- Our client is a French multinational information technology (IT) services and consulting company, headquartered in Paris, France. Founded in 1967, It has been a leader in business transformation for over 50 years, leveraging technology to address a wide range of business needs, from strategy and design to managing operations. The company is committed to unleashing human energy through technology for an inclusive and sustainable future, helping organizations accelerate their transition to a digital and sustainable world. They provide a variety of services, including consulting, technology, professional, and outsourcing services. Job Details :- Position: Data Analyst - AI& Bedrock Experience Required: 6-10yrs Notice: immediate Work Location: Pune Mode Of Work: Hybrid Type of Hiring: Contract to Hire Job Description:- FAS - Data Analyst - AI & Bedrock Specialization About Us: We are seeking a highly experienced and visionary Data Analyst with a deep understanding of artificial intelligence (AI) principles and hands-on expertise with cutting-edge tools like Amazon Bedrock. This role is pivotal in transforming complex datasets into actionable insights, enabling data-driven innovation across our organization. Role Summary: The Lead Data Analyst, AI & Bedrock Specialization, will be responsible for spearheading advanced data analytics initiatives, leveraging AI and generative AI capabilities, particularly with Amazon Bedrock. With 5+ years of experience, you will lead the design, development, and implementation of sophisticated analytical models, provide strategic insights to stakeholders, and mentor a team of data professionals. This role requires a blend of strong technical skills, business acumen, and a passion for pushing the boundaries of data analysis with AI. Key Responsibilities: • Strategic Data Analysis & Insight Generation: o End-to-end data analysis projects, from defining business problems to delivering actionable insights that influence strategic decisions. o Utilize advanced statistical methods, machine learning techniques, and AI-driven approaches to uncover complex patterns and trends in large, diverse datasets. o Develop and maintain comprehensive dashboards and reports, translating complex data into clear, compelling visualizations and narratives for executive and functional teams. • AI/ML & Generative AI Implementation (Bedrock Focus): o Implement data analytical solutions leveraging Amazon Bedrock, including selecting appropriate foundation models (e.g., Amazon Titan, Anthropic Claude) for specific use cases (text generation, summarization, complex data analysis). o Design and optimize prompts for Large Language Models (LLMs) to extract meaningful insights from unstructured and semi-structured data within Bedrock. o Explore and integrate other AI/ML services (e.g., Amazon SageMaker, Amazon Q) to enhance data processing, analysis, and automation workflows. o Contribute to the development of AI-powered agents and intelligent systems for automated data analysis and anomaly detection. • Data Governance & Quality Assurance: o Ensure the accuracy, integrity, and reliability of data used for analysis. o Develop and implement robust data cleaning, validation, and transformation processes. o Establish best practices for data management, security, and governance in collaboration with data engineering teams. • Technical Leadership & Mentorship: o Evaluate and recommend new data tools, technologies, and methodologies to enhance analytical capabilities. o Collaborate with cross-functional teams, including product, engineering, and business units, to understand requirements and deliver data-driven solutions. • Research & Innovation: o Stay abreast of the latest advancements in AI, machine learning, and data analytics trends, particularly concerning generative AI and cloud-based AI services. o Proactively identify opportunities to apply emerging technologies to solve complex business challenges. Required Skills & Qualifications: • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field. • 5+ years of progressive experience as a Data Analyst, Business Intelligence Analyst, or similar role, with a strong portfolio of successful data-driven projects. • Proven hands-on experience with AI/ML concepts and tools, with a specific focus on Generative AI and Large Language Models (LLMs). • Demonstrable experience with Amazon Bedrock is essential, including knowledge of its foundation models, prompt engineering, and ability to build AI-powered applications. • Expert-level proficiency in SQL for data extraction and manipulation from various databases (relational, NoSQL). • Advanced proficiency in Python (Pandas, NumPy, Scikit-learn, etc.) or R for data analysis, statistical modeling, and scripting. • Strong experience with data visualization tools such as Tableau, Power BI, Qlik Sense, or similar, with a focus on creating insightful and interactive dashboards. • Experience with cloud platforms (AWS preferred) and related data services (e.g., S3, Redshift, Glue, Athena). • Excellent analytical, problem-solving, and critical thinking skills. • Strong communication and presentation skills, with the ability to convey complex technical findings to non-technical stakeholders. • Ability to work independently and collaboratively in a fast-paced, evolving environment. Preferred Qualifications: • Experience with other generative AI frameworks or platforms (e.g., OpenAI, Google Cloud AI). • Familiarity with data warehousing concepts and ETL/ELT processes. • Knowledge of big data technologies (e.g., Spark, Hadoop). • Experience with MLOps practices for deploying and managing AI/ML models. Learn about building AI agents with Bedrock and Knowledge Bases to understand how these tools revolutionize data analysis and customer service.

About Us: Planet Spark is reshaping the EdTech landscape by equipping kids and young adults with future-ready skills like public speaking, and more. We're on a mission to spark curiosity, creativity, and confidence in learners worldwide. If you're passionate about meaningful impact, growth, and innovation—you're in the right place. Location: Gurgaon (On-site) Experience Level: Entry to Early Career (Freshers welcome!) Shift Options: Domestic | Middle East | International Working Days: 5 days/week (Wednesday & Thursday off) | Weekend availability required Target Joiners: Any (Bachelor’s or Master’s) 🔥 What You'll Be Owning (Your Impact): Lead Activation: Engage daily with high-intent leads through dynamic channels—calls, video consults, and more. Sales Funnel Pro: Own the full sales journey—from first hello to successful enrollment. Consultative Selling: Host personalized video consultations with parents/adult learners, pitch trial sessions, and resolve concerns with clarity and empathy. Target Slayer: Consistently crush weekly revenue goals and contribute directly to Planet Spark’s growth engine. Client Success: Ensure a smooth onboarding experience and transition for every new learner. Upskill Mindset: Participate in hands-on training, mentorship, and feedback loops to constantly refine your game. 💡 Why Join Sales at Planet Spark? Only Warm Leads: Skip the cold calls—our leads already know us and have completed a demo session. High-Performance Culture: Be part of a fast-paced, energetic team that celebrates success and rewards hustle. Career Fast-Track: Unlock rapid promotions, performance bonuses, and leadership paths. Top-Notch Training: Experience immersive onboarding, live role-plays, and access to ongoing L&D programs. Rewards & Recognition: Weekly shoutouts, cash bonuses, and exclusive events to celebrate your wins. Make Real Impact: Help shape the minds of tomorrow while building a powerhouse career today. 🎯 What You Bring to the Table: Communication Powerhouse: You can build trust and articulate ideas clearly in both spoken and written formats. Sales-Driven: You know how to influence decisions, navigate objections, and close deals with confidence. Empathy First: You genuinely care about clients’ goals and tailor your approach to meet them. Goal-Oriented: You’re self-driven, proactive, and hungry for results. Tech Fluent: Comfortable using CRMs, video platforms, and productivity tools. ✨ What’s in It for You? 💼 High-growth sales career with serious earning potential 🌱 Continuous upskilling in EdTech, sales, and communication 🧘 Supportive culture that values growth and well-being 🎯 Opportunity to work at the cutting edge of education innovation

About Us: Planet Spark is reshaping the EdTech landscape by equipping kids and young adults with future-ready skills like public speaking, and more. We're on a mission to spark curiosity, creativity, and confidence in learners worldwide. If you're passionate about meaningful impact, growth, and innovation—you're in the right place. Location: Gurgaon (On-site) Experience Level: Entry to Early Career (Freshers welcome!) Shift Options: Domestic | Middle East | International Working Days: 5 days/week (Wednesday & Thursday off) | Weekend availability required Target Joiners: Any (Bachelor’s or Master’s) 🔥 What You'll Be Owning (Your Impact): Lead Activation: Engage daily with high-intent leads through dynamic channels—calls, video consults, and more. Sales Funnel Pro: Own the full sales journey—from first hello to successful enrollment. Consultative Selling: Host personalized video consultations with parents/adult learners, pitch trial sessions, and resolve concerns with clarity and empathy. Target Slayer: Consistently crush weekly revenue goals and contribute directly to Planet Spark’s growth engine. Client Success: Ensure a smooth onboarding experience and transition for every new learner. Upskill Mindset: Participate in hands-on training, mentorship, and feedback loops to constantly refine your game. 💡 Why Join Sales at Planet Spark? Only Warm Leads: Skip the cold calls—our leads already know us and have completed a demo session. High-Performance Culture: Be part of a fast-paced, energetic team that celebrates success and rewards hustle. Career Fast-Track: Unlock rapid promotions, performance bonuses, and leadership paths. Top-Notch Training: Experience immersive onboarding, live role-plays, and access to ongoing L&D programs. Rewards & Recognition: Weekly shoutouts, cash bonuses, and exclusive events to celebrate your wins. Make Real Impact: Help shape the minds of tomorrow while building a powerhouse career today. 🎯 What You Bring to the Table: Communication Powerhouse: You can build trust and articulate ideas clearly in both spoken and written formats. Sales-Driven: You know how to influence decisions, navigate objections, and close deals with confidence. Empathy First: You genuinely care about clients’ goals and tailor your approach to meet them. Goal-Oriented: You’re self-driven, proactive, and hungry for results. Tech Fluent: Comfortable using CRMs, video platforms, and productivity tools. ✨ What’s in It for You? 💼 High-growth sales career with serious earning potential 🌱 Continuous upskilling in EdTech, sales, and communication 🧘 Supportive culture that values growth and well-being 🎯 Opportunity to work at the cutting edge of education innovation