4466 Hadoop Jobs

Job type: contract to hire 10+ years of software development experience building large scale distributed data processing systems/application, Data Engineering or large scale internet systems. Experience of at least 4 years in Developing/ Leading Big Data solution at enterprise scale with at least one end to end implementation Strong experience in programming languages Java/J2EE/Scala. Good experience in Spark/Hadoop/HDFS Architecture, YARN, Confluent Kafka , Hbase, Hive, Impala and NoSQL database. Experience with Batch Processing and AutoSys Job Scheduling and Monitoring Performance analysis, troubleshooting and resolution (this includes familiarity and investigation of Cloudera/Hadoop logs) Work with Cloudera on open issues that would result in cluster configuration changes and then implement as needed Strong experience with databases such as SQL,Hive, Elasticsearch, HBase, etc Knowledge of Hadoop Security, Data Management and Governance Primary Skills: Java/Scala, ETL, Spark, Hadoop, Hive, Impala, Sqoop, HBase, Confluent Kafka, Oracle, Linux, Git, Jenkins CI/CD

GCPdata engineer Big Query SQL Python Talend ETL ProgrammerGCPor Any Cloud technology. Experienced inGCPdata engineer Big Query SQL Python Talend ETL ProgrammerGCPor Any Cloud technology. Good experience in building the pipeline ofGCPComponents to load the data into Big Query and to cloud storage buckets. Excellent Data Analysis skills. Good written and oral communication skills Self-motivated able to work independently

Immediate job opening for # Python+SQL_C2H_Pan India. #Skill:Python+SQL #Job description: Strong programming skills in Python programming and advance SQL. strong experience in NumPy, Pandas, Data frames Strong analytical and problem-solving skills. Excellent communication and collaboration abilities.

Experience in Cloud platform, e.g., AWS, GCP, Azure, etc. Experience in distributed technology tools, viz. SQL, Spark, Python, PySpark, Scala Performance Turing Optimize SQL, PySpark for performance Airflow workflow scheduling tool for creating data pipelines GitHub source control tool & experience with creating/ configuring Jenkins pipeline Experience in EMR/ EC2, Databricks etc. DWH tools incl. SQL database, Presto, and Snowflake Streaming, Serverless Architecture

#Employment Type: Contract 1. 5+ Years in ETL Domain Development (in which 3 plus years in Talend) 2. Strong in SQL Queries Writing (Mandate) 3. Hands on Trouble Shooting SQL Queries (Mandate) 4. Hands-on Talend Deployments Development (Mandate) 5. Strong in DWH Concepts (Mandate)

Roles & Responsibilities: Tech stack Basic skills in data pipeline – experience in building data pipelines for data migration Big Data and Spark Good command on SQL & Hive Programming Language: Any - Java/Python/Scala JD- Experience with design and coding across one or more platforms and languages as appropriate Hands-on expertise with application design, software development Proficient in Big Data technologies Designs, codes, tests, corrects and documents large and/or complex programs and program modifications from supplied specifications using agreed standards and tools, to achieve a well-engineered result Proficient and Hands-on Data Warehousing, Experience with Agile development, Continuous Integration, and Continuous Delivery Ability to effectively interpret technical and business objectives and provide solutions Strong communication skills, with ability to articulate technical solutions effectively across diverse group of stakeholders. Need to be a fast learner willing to adapt to evolving needs of the developer community. Collaborate with cross-functional teams, including Architects, product managers, and designers, to deliver high-quality software solutions. Design, develop, test, and deploy efficient and maintainable systems using Troubleshoot and resolve performance issues, bottlenecks, and bugs to maintain system stability. Stay up to date with industry trends and best practices to continuously improve development processes

Education Qualification : BE/B Tech Minimum Years of Experience : 7-10 Years Type of Employment : Permanent Requirement : Immediate or Max 15 days Job Description : Big Data Developer (Hadoop/Spark/Kafka) - This role is ideal for an experienced Big Data developer who is confident in taking complete ownership of the software development life cycle - from requirement gathering to final deployment. - The candidate will be responsible for engaging with stakeholders to understand the use cases, translating them into functional and technical specifications (FSD & TSD), and implementing scalable, efficient big data solutions. - A key part of this role involves working across multiple projects, coordinating with QA/support engineers for test case preparation, and ensuring deliverables meet high-quality standards. - Strong analytical skills are necessary for writing and validating SQL queries, along with developing optimized code for data processing workflows. - The ideal candidate should also be capable of writing unit tests and maintaining documentation to ensure code quality and maintainability. - The role requires hands-on experience with the Hadoop ecosystem, particularly Spark (including Spark Streaming), Hive, Kafka, and Shell scripting. - Experience with workflow schedulers like Airflow is a plus, and working knowledge of cloud platforms (AWS, Azure, GCP) is beneficial. - Familiarity with Agile methodologies will help in collaborating effectively in a fast-paced team environment. - Job scheduling and automation via shell scripts, and the ability to optimize performance and resource usage in a distributed system, are critical. - Prior experience in performance tuning and writing production-grade code will be valued. - The candidate must demonstrate strong communication skills to effectively coordinate with business users, developers, and testers, and to manage dependencies across teams. Key Skills Required : Must Have : - Hadoop, Spark (core & streaming), Hive, Kafka, Shell Scripting, SQL, TSD/FSD documentation. Good to Have : - Airflow, Scala, Cloud (AWS/Azure/GCP), Agile methodology. This role is both technically challenging and rewarding, offering the opportunity to work on large-scale, real-time data processing systems in a dynamic, agile environment.

Responsibilities - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Required Skills - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Skills - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

Responsibilities - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Required Skills - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Skills - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

About the Role: Grade Level (for internal use): 09 The Role Software Engineer II The Team Our team is responsible for the design, architecture, and development of our client facing applications using a variety of tools that are regularly updated as new technologies emerge . You will have the opportunity every day to work with people from a wide variety of backgrounds and will be able to develop a close team dynamic with c oworkers from around the globe. The Impact The work you do will be used every single day , its the essential code youll write that provides the data and analytics required for crucial, daily decisions in the capital and commodities markets. Whats in it for y ou Build a career with a global company Work on code that fuels the global financial markets Grow and improve your skills by working on enterprise level products and new technologies Responsibilities Identify , prio ritize and execute tasks in Agile software development environment Develop tools and applications by producing clean, high quality and efficient code Develop solutions to develop/support key business needs Engineer components and common services based on standard development models, languages and tools Produce system design documents and participate actively in technical walkthroughs Collaborate effectively with technical and non-technical partners As a team-member should continuously improve the architecture What Were Looking For Basic Qualifications Bachelor's / Masters Degree in Computer Science , Information Systems or equivalent. 5 to 8 years of experience in application development using .Net Full-stack with React. Hands on experience in functional, distributed application programming. Command of essential technologies Spark, Hive, Hadoop and SQL Knowledge of working with AWS Experience with Elastic Search Experience with Spring boot framework Proficient with software development lifecycle (SDLC) methodologies like Agile, Test- driven development. Nice to Have Knowledge of Python, Java Script and React Knowledge of streaming systems such as Kafka and Spark streaming is a plus. Must be a quick learner to evaluate and embrace new technologies in the Big data space. Excellent written and verbal communication skills. Good collaboration skills . Ability to lead, train and mentor Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- , SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 10 Responsibilities: To work closely with various stakeholders to collect, clean, model and visualise datasets. To create data driven insights by researching, designing and implementing ML models to deliver insights and implement action-oriented solutions to complex business problems To drive ground-breaking ML technology within the Modelling and Data Science team. To extract hidden value insights and enrich accuracy of the datasets. To leverage technology and automate workflows creating modernized operational processes aligning with the team strategy. To understand, implement, manage, and maintain analytical solutions & techniques independently. To collaborate and coordinate with Data, content and modelling teams and provide analytical assistance of various commodity datasets To drive and maintain high quality processes and delivering projects in collaborative Agile team environments. : 7+ years of programming experience particularly in Python 4+ years of experience working with SQL or NoSQL databases. 1+ years of experience working with Pyspark. University degree in Computer Science, Engineering, Mathematics, or related disciplines. Strong understanding of big data technologies such as Hadoop, Spark, or Kafka. Demonstrated ability to design and implement end-to-end scalable and performant data pipelines. Experience with workflow management platforms like Airflow. Strong analytical and problem-solving skills. Ability to collaborate and communicate effectively with both technical and non-technical stakeholders. Experience building solutions and working in the Agile working environment Experience working with git or other source control tools Strong understanding of Object-Oriented Programming (OOP) principles and design patterns. Knowledge of clean code practices and the ability to write well-documented, modular, and reusable code. Strong focus on performance optimization and writing efficient, scalable code. Nice to have: Experience working with Oil, gas and energy markets Experience working with BI Visualization applications (e.g. Tableau, Power BI) Understanding of cloud-based services, preferably AWS Experience working with Unified analytics platforms like Databricks Experience with deep learning and related toolkitsTensorflow, PyTorch, Keras, etc. About S&P Global Commodity Insights At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value. Were a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights coverage includes oil and gas, power, chemicals, metals, agriculture and shipping. S&P Global Commodity Insights is a division of S&P Global (NYSESPGI). S&P Global is the worlds foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the worlds leading organizations navigate the economic landscape so they can plan for tomorrow, today.For more information, visit http://www.spglobal.com/commodity-insights . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Location - Bengaluru,Noida,Uttarpradesh,Hyderabad

Data Engineer - Pspark , SQL with Cloud GCP ,AWS /Azure , Hadoop and Hive Location - Pune , Bangalore , Hyderabad, Chennai Exp - 5 to 11 Years MNC Company Permanent Job Apply on this swati.paliwal@astricatechnologies.com 8920938677

5+ years experience inTeradata. Good inTeradata, should know BTEQ scripts, FastLoad, MLoad Experience Informatica Power Center experience Good in Writing SQL queries using Joins, Essential to have DataIKU tool proficient knowledge Proficient in Python Scripting Read logs. Can Script, Can automate script, can build Server

Big data (Hadoop and Spark) skills. Programming language: Python, Scala Job requirement This position is for a mid-level data engineer with development experience who will focus on creating new capabilities in the Risk space while maturing our code base and development processes. Qualifications: 3 or more years of work experience with a bachelors degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Experience in creating data driven business solutions and solving data problems using a wide variety of technologies such as Hadoop, Hive, Spark, MongoDB, NoSQL, as well as traditional data technologies like RDBMS, MySQL a plus Ability to program in one or more scripting languages such as Perl or Python and one or more programming languages such as Java or Scala Experience with data visualization and business intelligence tools like Tableau is a plus Experience with or knowledge of Continuous Integration & Development and automation tools such as Jenkins, Artifactory, Git etc. Experience with or knowledge of Agile and Test-Driven Development methodology Strong analytical skills with excellent problem-solving ability

Position Overview Summary: The Data Engineer will expand and optimize the data and data pipeline architecture, as well as optimize data flow and collection for cross functional teams. The Data Engineer will perform data architecture analysis, design, development and testing to deliver data applications, services, interfaces, ETL processes, reporting and other workflow and management initiatives. The role also will follow modern SDLC principles, test driven development and source code reviews and change control standards in order to maintain compliance with policies. This role requires a highly motivated individual with strong technical ability, data capability, excellent communication and collaboration skills including the ability to develop and troubleshoot a diverse range of problems. Responsibilities Design and develop enterprise data data architecture solutions using Hadoop and other data technologies like Spark, Scala.

4+ years of hands on experience using Azure Cloud, ADLS, ADF & Databricks Finance Domain Data Stewardship Finance Data Reconciliation with SAP down-stream systems Run/Monitor Pipelines/ Validate the Data Bricks note books Able to interface with onsite/ business stake holders. Python, SQL Hands on Knowledge of Snowflake/DW is desirable.

Must have minimum experience of 5 years working on developing data pipelines Must have worked on data engineering using Python for at least 5 years Must have experience working on big data technologies for at least 5 years Must have experience in exploring and proposing solutions and come up with architecture and technical design Must have experience working on Docker Must have experience working on AWS Must have working experience on DevOps pipelines Must be a excellent technical leader who can take responsibility of a team and own it Must have experince practicing agile methods - scrum and kanban Must have experience interacting with US customers on day to day basis

Company: Oliver Wyman Description: RoleData Engineer Who We Are Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients top and bottom lines. Our clients are the CEOs and executive teams of the top global 1000 companies. Oliver Wyman is a business of Marsh McLennan [NYSEMMC] For more information, visit www.oliverwyman.com Follow Oliver Wyman on Twitter @OliverWyman Practice Overview PracticeData and Analytics (DNA) - Analytics Consulting LocationGurugram, India At Oliver Wyman DNA, we partner with clients to solve tough strategic business challenges with the power of analytics, technology, and industry expertise. We drive digital transformation, create customer-focused solutions, and optimize operations for the future. Our goal is to achieve lasting results in collaboration with our clients and stakeholders. We value and offer opportunities for personal and professional growth. Join our entrepreneurial team focused on delivering impact globally. Our Mission and Purpose Mission Leverage Indias high-quality talent to provide exceptional analytics-driven management consulting services that empower clients globally to achieve their business goals and drive sustainable growth, by working alongside Oliver Wyman consulting teams. Purpose Our purpose is to bring together a diverse team of highest-quality talent, equipped with innovative analytical tools and techniques to deliver insights that drive meaningful impact for our global client base. We strive to build long-lasting partnerships with clients based on trust, mutual respect, and a commitment to deliver results. We aim to build a dynamic and inclusive organization that attracts and retains the top analytics talent in India and provides opportunities for professional growth and development. Our goal is to provide a sustainable work environment while fostering a culture of innovation and continuous learning for our team members. The Role and Responsibilities We have open positions ranging from Associate Data Engineer to Lead Data Engineer, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data engineering track, you will be primarily responsible for developing and monitoring high-performance applications that can rapidly deploy latest machine learning frameworks and other advanced analytical techniques at scale. This role requires you to be a proactive learner and quickly pick up new technologies, whenever required. Most of the projects require handling big data, so you will be required to work on related technologies extensively. You will work closely with other team members to support project delivery and ensure client satisfaction. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with clients to understand their business challenges Exploring large-scale data and designing, developing, and maintaining data/software pipelines, and ETL processes for internal and external stakeholders Explaining, refining, and developing the necessary architecture to guide stakeholders through the journey of model building Advocating application of best practices in data engineering, code hygiene, and code reviews Leading the development of proprietary data engineering, assets, ML algorithms, and analytical tools on varied projects Creating and maintaining documentation to support stakeholders and runbooks for operational excellence Working with partners and principals to shape proposals that showcase our data engineering and analytics capabilities Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art data engineering techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or masters degree in a computational or quantitative discipline from a top academic program (Computer Science, Informatics, Data Science, or related) Exposure to building cloud ready applications Exposure to test-driven development and integration Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with ability to manage workload and meet deadlines in a fast-paced environment Collaborative team player Excellent verbal and written communication skills and command of English Willingness to travel Respect for confidentiality Technical Background Prior experience in designing and deploying large-scale technical solutions Fluency in modern programming languages (Python is mandatory; R, SAS desired) Experience with AWS/Azure/Google Cloud, including familiarity with services such as S3, EC2, Lambda, Glue Strong SQL skills and experience with relational databases such as MySQL, PostgreSQL, or Oracle Experience with big data tools like Hadoop, Spark, Kafka Demonstrated knowledge of data structures and algorithms Familiarity with version control systems like GitHub or Bitbucket Familiarity with modern storage and computational frameworks Basic understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Valued but not required Compelling side projects or contributions to the Open-Source community Prior experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Familiarity with containerization technologies, such as Docker and Kubernetes Experience with UI development using frameworks such as Angular, VUE, or React Experience with NoSQL databases such as MongoDB or Cassandra Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence Interview Process The application process will include testing technical proficiency, case study, and team-fit interviews. Please include a brief note introducing yourself, what youre looking for when applying for the role, and your potential value-add to our team. Roles and levels We are hiring for engineering role across the levels from Associate Data Engineer to Lead Data Engineer level for experience ranging from 0-8 years. In addition to the base salary, this position may be eligible for performance-based incentives. We offer a competitive total rewards package that includes comprehensive health and welfare benefits as well as employee assistance programs. Oliver Wyman is an equal-opportunity employer. Our commitment to diversity is genuine, deep, and growing. Were not perfect, but were working hard right now to make our teams balanced, representative, and diverse. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.

Immediate Job Openings on #Big Data Engineer _ Pan India_ Contract Experience: 6 +Years Skill:Big Data Engineer Location: Pan India Notice Period:Immediate. Employment Type: Contract Pyspark Azure Data Bricks Experience on workflows Unity catalog Managed / external data with delta tables.

Immediate Job Openings on # PERL scripting in Linux _ Pan India_Contract Skill : PERL scripting in Linux Location: Pan India Notice Period: Immediate . Employment Type: Contract PERL scripting in Linux 6+ years of PERL Scripting experience 6+ years of Linux Shell Scripting experience Maintain and enhance scripting applications developed in PERL and Linux Shell scripting Develop new scripting application/tools in PERL and Linux Shell scripting.

Creates and owns technical solutions for a specific technology area(GCP, SQL, BQ, Python, Airflow), delivering work autonomously. GCP migration experience with 3-4 years !! Must have GCP /Aws certificate.

Immediate Openings onPyspark Skill:-Pyspark Notice Period :- Immediate. Pyspark Experience in Cloud platform, e.g., AWS, GCP, Azure, etc. Experience in distributed technology tools, viz. SQL, Spark, Python, PySpark, Scala Performance Turing Optimize SQL, PySpark for performance Airflow workflow scheduling tool for creating data pipelines GitHub source control tool & experience with creating/ configuring Jenkins pipeline .

Owning the Infrastructure - Co-ordination for provisioning, maintenance and monitoring Work closely with Platform Architecture and Engineering team to Improve/establish Governance Collaborate with use case team and Graph DB product team to enable the technical capabilities Onboarding of new use cases in Graph DB Owning the DevOps pipeline and processes - Create, enhance and maintenance Owning the admin related activities Graph DB new feature enablement, access, authorization ..etc.

Company: Marsh McLennan Agency Description: Marsh McLennan is seeking candidates for the following position based in the Pune office. Senior Engineer/Principal Engineer What can you expect We are seeking a skilled Data Engineer with 3 to 5 years of hands-on experience in building and optimizing data pipelines and architectures. The ideal candidate will have expertise in Spark, AWS Glue, AWS S3, Python, complex SQL, and AWS EMR. What is in it for you Holidays (As Per the location) Medical & Insurance benefits (As Per the location) Shared Transport (Provided the address falls in service zone) Hybrid way of working Diversify your experience and learn new skills Opportunity to work with stakeholders globally to learn and grow We will count on you to: Design and implement scalable data solutions that support our data-driven decision-making processes. What you need to have: SQL and RDBMS knowledge - 5/5. Postgres. Should have extensive hands-on Database systems carrying tables, schema, views, materialized views. AWS Knowledge. Core and Data engineering services. Glue/ Lambda/ EMR/ DMS/ S3 - services in focus. ETL data:dge :- Any ETL tool preferably Informatica. Data warehousing. Big data:- Hadoop - Concepts. Spark - 3/5 Hive - 5/5 Python/ Java. Interpersonal skills:- Excellent communication skills and Team lead capabilities. Understanding of data systems well in big organizations setup. Passion deep diving and working with data and delivering value out of it. What makes you stand out Databricks knowledge. Any Reporting tool experience. Preferred MicroStrategy. Marsh McLennan (NYSEMMC) is the worlds leading professional services firm in the areas ofrisk, strategy and people. The Companys more than 85,000 colleagues advise clients in over 130 countries.With annual revenue of $23 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses.Marshprovides data-driven risk advisory services and insurance solutions to commercial and consumer clients.Guy Carpenter develops advanced risk, reinsurance and capital strategies that help clients grow profitably and pursue emerging opportunities. Mercer delivers advice and technology-driven solutions that help organizations redefine the world of work, reshape retirement and investment outcomes, and unlock health and well being for a changing workforce. Oliver Wyman serves as a critical strategic, economic and brand advisor to private sector and governmental clients. For more information, visit marshmclennan.com , or follow us onLinkedIn andX . Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people regardless of their sex/gender, marital or parental status, ethnic origin, nationality, age, background, disability, sexual orientation, caste, gender identity or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person. Marsh McLennan (NYSEMMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries ofscience and engineering to make possiblethe next generations of technology, join us to Make Possible a Better Future. What We Offer Location: Bangalore,IND At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. Were committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Youll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers.We empower our team to push the boundaries of what is possiblewhile learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. Key Responsibilities Provide technical support for applications built using .Net as well as Angular, React and other open source technologies. Troubleshoot and resolve issues related to Front End, APIs and backend services. Collaborate with development teams to understand and resolve technical issues Assist in the deployment and maintenance of software applications. Ensure the performance, quality, and responsiveness of applications and apply permanent fixes to the critical and recurring issues Help maintain code quality, organization, and automation. Perform design reviews with the respective development for critical applications and provide inputs Document support processes and solutions for future reference. Stay up-to-date with the latest industry trends and technologies. Required Skills and Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 8+ years of experience in software development and support. Strong proficiency in .Net, Angular, React, Proficient in Python for backend support Familiarity in Hadoop Ecosystem as well as Databricks Experience with RESTful APIs and web services. Solid understanding of front-end technologies, including HTML5, CSS3, and JavaScript as well as Azure, AWS Strong Background in SQL Server and other relational databases Familiarity with version control systems (e.g., Git) as well as Atlassian Products for Software Development and Code Deployment Mechanisms/DevOps Best practices in hosting the applications in containerized platforms like OCP (onprem and cloud) etc Experience with open-source projects and contributions. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Certifications in relevant areas specially Microsoft will be a plus Functional Knowledge Demonstrates conceptual and practical expertise in own discipline and knowledge of Semiconductor industry is nice to have interpersonal Skills Explains difficult or sensitive information; works to build consensus Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 10% of the Time Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.