107 Apache Pig Jobs

The Senior Spark Tech Lead will be responsible for integrating and maintaining the Quantexa platform, a spark based software provided by a UK fintech, into our existing systems to enhance our anti-money laundering capabilities. This role requires a deep expertise in Spark development, as well as an ability to analyze and understand underlying data. Additionally, the candidate should have an interest in exploring open-source applications distributed by Apache, Kubernetes, OpenSearch and Oracle. Should be able to work as a Scrum Master Responsibilities Direct Responsibilities Integrate and upgrade the Quantexa tool with our existing systems for enhanced anti-money laundering measures. Develop and maintain Spark-based applications deployed on Kubernetes clusters. Conduct data analysis to understand and interpret underlying data structures. Collaborate with cross-functional teams to ensure seamless integration and functionality. Stay updated with the latest trends and best practices in Spark development and Kubernetes. Contributing Responsibilities Taking complete ownership of project activities and understand each tasks in details. Ensure that the team delivers on time without any delays and deliveries are of high quality standards. Estimation, Planning and scheduling of the project. Ensure all internal timelines are respected and project is on track. Work with team to develop robust software adhering to the timelines & following all the standard guidelines. Act proactively to ensure smooth team operations and effective collaboration Make sure team adheres to all compliance processes and intervene if required Task assignment to the team and tracking until task completion Proactive Status reporting to the management. Identify Risks in the project and highlight to Manager. Create Contingency and Backup planning as necessary. Create Mitigation Plan. Take decision by own based on situation. Play the role of mentor and coach team members as and when required to meet the target goals Gain functional knowledge on applications worked upon Create knowledge repositories for future reference. Arrange knowledge sharing sessions to enhance team's functional capability. Evaluation of new tools and coming with POCs. Provide feedback of team to upper management on timely basis Technical & Behavioral Competencies Key Responsibilities Integrate and upgrade the Quantexa tool with our existing systems for enhanced anti-money laundering measures. Develop and maintain Spark-based applications deployed on Kubernetes clusters. Conduct data analysis to understand and interpret underlying data structures. Collaborate with cross-functional teams to ensure seamless integration and functionality. Stay updated with the latest trends and best practices in Spark development and Kubernetes. Required Qualifications 7+ Years of experience in development Extensive experience in Hadoop, Spark, Scala development (5 years min). Strong analytical skills and experience in data analysis (SQL), data processing (such as ETL), parsing, data mapping and handling real-life data quality issues. Excellent problem-solving abilities and attention to detail. Strong communication and collaboration skills. Experience in Agile development. High quality coding skill, incl. code control, unit testing, design, and documentation (code, test). Experience with tools such as sonar. Experience with GIT, Jenkins. Specific Qualifications (if required) Experience with development and deployment of spark application and deployment on Kubernetes clusters Hands-on development experience (Java, Scala, etc.) via system integration projects, Python, Elastic (optional). Skills Referential Behavioural Skills : (Please select up to 4 skills) Ability to collaborate / Teamwork Adaptability Creativity & Innovation / Problem solving Attention to detail / rigor Transversal Skills: (Please select up to 5 skills) Analytical Ability Ability to develop and adapt a process Ability to develop and leverage networks Choose an item. Choose an item. Education Level: Bachelor Degree or equivalent Experience Level At least 7 years Fluent in English Team player Strong analytical skills Quality oriented and well organized Willing to work under pressure and mission oriented Excellent Oral and Written Communication Skills, Motivational Skills, Results-Oriented

About Persistent We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 12 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem. Our growth trajectory continues, as we reported $1,231M annual revenue (16% Y-o-Y). Along with our growth, we’ve onboarded over 4900 new employees in the past year, bringing our total employee count to over 23,500+ people located in 19 countries across the globe. Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. For more details please login to www.persistent.com About The Position We are looking for a Big Data Lead who will be responsible for the management of data sets that are too big for traditional database systems to handle. You will create, design, and implement data processing jobs in order to transform the data into a more usable format. You will also ensure that the data is secure and complies with industry standards to protect the company?s information. What You?ll Do Manage customer's priorities of projects and requests Assess customer needs utilizing a structured requirements process (gathering, analyzing, documenting, and managing changes) to prioritize immediate business needs and advising on options, risks and cost Design and implement software products (Big Data related) including data models and visualizations Demonstrate participation with the teams you work in Deliver good solutions against tight timescales Be pro-active, suggest new approaches and develop your capabilities Share what you are good at while learning from others to improve the team overall Show that you have a certain level of understanding for a number of technical skills, attitudes and behaviors Deliver great solutions Be focused on driving value back into the business Expertise You?ll Bring 6 years' experience in designing & developing enterprise application solution for distributed systems Understanding of Big Data Hadoop Ecosystem components (Sqoop, Hive, Pig, Flume) Additional experience working with Hadoop, HDFS, cluster management Hive, Pig and MapReduce, and Hadoop ecosystem framework HBase, Talend, NoSQL databases Apache Spark or other streaming Big Data processing, preferred Java or Big Data technologies, will be a plus Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment •We offer hybrid work options and flexible working hours to accommodate various needs and preferences. •Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. Let's unleash your full potential. See Beyond, Rise Above

About Persistent We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 12 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem. Our growth trajectory continues, as we reported $1,231M annual revenue (16% Y-o-Y). Along with our growth, we’ve onboarded over 4900 new employees in the past year, bringing our total employee count to over 23,500+ people located in 19 countries across the globe. Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. For more details please login to www.persistent.com About The Position We are looking for a Big Data Lead who will be responsible for the management of data sets that are too big for traditional database systems to handle. You will create, design, and implement data processing jobs in order to transform the data into a more usable format. You will also ensure that the data is secure and complies with industry standards to protect the company?s information. What You?ll Do Manage customer's priorities of projects and requests Assess customer needs utilizing a structured requirements process (gathering, analyzing, documenting, and managing changes) to prioritize immediate business needs and advising on options, risks and cost Design and implement software products (Big Data related) including data models and visualizations Demonstrate participation with the teams you work in Deliver good solutions against tight timescales Be pro-active, suggest new approaches and develop your capabilities Share what you are good at while learning from others to improve the team overall Show that you have a certain level of understanding for a number of technical skills, attitudes and behaviors Deliver great solutions Be focused on driving value back into the business Expertise You?ll Bring 6 years' experience in designing & developing enterprise application solution for distributed systems Understanding of Big Data Hadoop Ecosystem components (Sqoop, Hive, Pig, Flume) Additional experience working with Hadoop, HDFS, cluster management Hive, Pig and MapReduce, and Hadoop ecosystem framework HBase, Talend, NoSQL databases Apache Spark or other streaming Big Data processing, preferred Java or Big Data technologies, will be a plus Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment •We offer hybrid work options and flexible working hours to accommodate various needs and preferences. •Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities Let's unleash your full potential. See Beyond, Rise Above

About Persistent We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 12 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem. Our growth trajectory continues, as we reported $1,231M annual revenue (16% Y-o-Y). Along with our growth, we’ve onboarded over 4900 new employees in the past year, bringing our total employee count to over 23,500+ people located in 19 countries across the globe. Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. For more details please login to www.persistent.com About The Position We are looking for a Big Data Lead who will be responsible for the management of data sets that are too big for traditional database systems to handle. You will create, design, and implement data processing jobs in order to transform the data into a more usable format. You will also ensure that the data is secure and complies with industry standards to protect the company?s information. What You?ll Do Manage customer's priorities of projects and requests Assess customer needs utilizing a structured requirements process (gathering, analyzing, documenting, and managing changes) to prioritize immediate business needs and advising on options, risks and cost Design and implement software products (Big Data related) including data models and visualizations Demonstrate participation with the teams you work in Deliver good solutions against tight timescales Be pro-active, suggest new approaches and develop your capabilities Share what you are good at while learning from others to improve the team overall Show that you have a certain level of understanding for a number of technical skills, attitudes and behaviors Deliver great solutions Be focused on driving value back into the business Expertise You?ll Bring 6 years' experience in designing & developing enterprise application solution for distributed systems Understanding of Big Data Hadoop Ecosystem components (Sqoop, Hive, Pig, Flume) Additional experience working with Hadoop, HDFS, cluster management Hive, Pig and MapReduce, and Hadoop ecosystem framework HBase, Talend, NoSQL databases Apache Spark or other streaming Big Data processing, preferred Java or Big Data technologies, will be a plus Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment •We offer hybrid work options and flexible working hours to accommodate various needs and preferences. •Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. Let's unleash your full potential. See Beyond, Rise Above

Artic Consulting is looking for Data Engineer - Microsoft Fabric Focus to join our dynamic team and embark on a rewarding career journey Liaising with coworkers and clients to elucidate the requirements for each task. Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed. Reformulating existing frameworks to optimize their functioning. Testing such structures to ensure that they are fit for use. Preparing raw data for manipulation by data scientists. Detecting and correcting errors in your work. Ensuring that your work remains backed up and readily accessible to relevant coworkers. Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs.

As a Big Data Engineer, you wi deveop, maintain, evauate, and test big data soutions. You wi be invoved in data engineering activities ike creating pipeines/workfows for Source to Target and impementing soutions that tacke the cients needs. Your primary responsibiities incude: Design, buid, optimize and support new and existing data modes and ETL processes based on our cients business requirements. Buid, depoy and manage data infrastructure that can adequatey hande the needs of a rapidy growing data driven organization. Coordinate data access and security to enabe data scientists and anaysts to easiy access to data whenever they need too Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Must have 5+ years exp in Big Data -Hadoop Spark -Scaa ,Python Hbase, Hive Good to have Aws -S3, athena ,Dynomo DB, Lambda, Jenkins GIT Deveoped Python and pyspark programs for data anaysis. Good working experience with python to deveop Custom Framework for generating of rues (just ike rues engine). Deveoped Python code to gather the data from HBase and designs the soution to impement using Pyspark. Apache Spark DataFrames/RDD's were used to appy business transformations and utiized Hive Context objects to perform read/write operations Preferred technica and professiona experience Understanding of Devops. Experience in buiding scaabe end-to-end data ingestion and processing soutions Experience with object-oriented and/or functiona programming anguages, such as Python, Java and Scaa

As a Big Data Engineer, you wi deveop, maintain, evauate, and test big data soutions. You wi be invoved in data engineering activities ike creating pipeines/workfows for Source to Target and impementing soutions that tacke the cients needs. Your primary responsibiities incude: Design, buid, optimize and support new and existing data modes and ETL processes based on our cients business requirements. Buid, depoy and manage data infrastructure that can adequatey hande the needs of a rapidy growing data driven organization. Coordinate data access and security to enabe data scientists and anaysts to easiy access to data whenever they need too. Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Must have 5+ years exp in Big Data -Hadoop Spark -Scaa ,Python Hbase, Hive Good to have Aws -S3, athena ,Dynomo DB, Lambda, Jenkins GIT Deveoped Python and pyspark programs for data anaysis. Good working experience with python to deveop Custom Framework for generating of rues (just ike rues engine). Deveoped Python code to gather the data from HBase and designs the soution to impement using Pyspark. Apache Spark DataFrames/RDD's were used to appy business transformations and utiized Hive Context objects to perform read/write operations. Preferred technica and professiona experience Understanding of Devops. Experience in buiding scaabe end-to-end data ingestion and processing soutions Experience with object-oriented and/or functiona programming anguages, such as Python, Java and Scaa

Deveoper eads the coud appication deveopment/depoyment. A deveoper responsibiity is to ead the execution of a project by working with a senior eve resource on assigned deveopment/depoyment activities and design, buid, and maintain coud environments focusing on uptime, access, contro, and network security using automation and configuration management toos Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Strong proficiency in Java, Spring Framework, Spring boot, RESTfu APIs, exceent understanding of OOP, Design Patterns. Strong knowedge of ORM toos ike Hibernate or JPA, Java based Micro-services framework, Hands on experience on Spring boot Microservices Strong knowedge of micro-service ogging, monitoring, debugging and testing, In-depth knowedge of reationa databases (e.g., MySQL) Experience in container patforms such as Docker and Kubernetes, experience in messaging patforms such as Kafka or IBM MQ, Good understanding of Test-Driven-Deveopment Famiiar with Ant, Maven or other buid automation framework, good knowedge of base UNIX commands Preferred technica and professiona experience Experience in Concurrent design and muti-threading Primary Skis: - Core Java, Spring Boot, Java2/EE, Microservices - Hadoop Ecosystem (HBase, Hive, MapReduce, HDFS, Pig, Sqoop etc) - Spark Good to have Python

Business Intelligence EngineerIndustrial Energy and Technology Are you passionate about being part of a successful team Are you a Business Intelligence Engineer looking for a new opportunity Be part of a successful team Our Turbomachinery & Process Solutions team provides industry-leading products and services that optimize the extraction, production and processing of energy We help a diverse range of customers across the value chain to reduce operating costs and improve productivity, Partner with the best As Business Intelligence Engineer, you will be responsible for designing, developing, and implementing data-driven solutions to support business decision-making processes You will play a crucial role in transforming raw data into actionable insights through dashboards, reports, and analytics, As a Business Intelligence Engineer, you will be responsible for: Designing, developing, and maintaining BI solutions, including dashboards, reports, and data models, Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions, Performing data analysis to identify trends, patterns, and insights that support strategic decision-making, Ensuring data integrity, security, and accuracy within BI systems, Optimizing and improving existing BI tools and processes to enhance efficiency, Providing training and support to end-users on BI tools and platforms, Staying up to date with industry trends and emerging BI technologies, Fuel your passion To be successful in this role you will: Have a minimum of bachelors degree in any related course, Have at least 3 years' experience as a Business Intelligence Engineer Have significant experience in business intelligence contexts Be able to collect and compile relevant data, Have exposure to Scripting (Pig, Python, Perl, etc) experience Have knowledge of SQL, PLSQL, ETL , (Oracle OBIEE/OAS or ODI ) , Data Modelling and database management systems, Have the ability to translates analytics problems into data requirements, Have an understanding logical and physical data model, big data storage architecture, data modeling methodologies, metadata management, master data management, data lineage & data profiling, Have an understanding the technology landscape, up to date on current technology trends and new technology, brings new ideas to the team, Have familiarity with data warehousing concepts and ETL processes, Have experience in Business Intelligence development and data analysis (Tableau/Oracle BI) Work in a way that works for you We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too In this role, we can offer the following flexible working patterns: Working flexible hours flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working with us Our people are at the heart of what we do at Baker Hughes We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other, Working for you Our inventions have revolutionized energy for over a century But to keep going forward tomorrow, we know we have to push the boundaries today We prioritize rewarding those who embrace change with a package that reflects how much we value their input Join us, and you can expect: Contemporary work-life balance policies and wellbeing activities Comprehensive private medical care options Safety net of life insurance and disability programs Tailored financial programs Additional elected or voluntary benefits About Us: We are an energy technology company that provides solutions to energy and industrial customers worldwide Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward making it safer, cleaner and more efficient for people and the planet, Join Us: Are you seeking an opportunity to make a real difference in a company that values innovation and progressJoin us and become part of a team of people who will challenge and inspire you! Lets come together and take energy forward, Baker Hughes Company is an Equal Opportunity Employer Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law, R149056

Developer leads the cloud application development/deployment. A developer responsibility is to lead the execution of a project by working with a senior level resource on assigned development/deployment activities and design, build, and maintain cloud environments focusing on uptime, access, control, and network security using automation and configuration management tools Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong proficiency in Java, Spring Framework, Spring boot, RESTful APIs, excellent understanding of OOP, Design Patterns. Strong knowledge of ORM tools like Hibernate or JPA, Java based Micro-services framework, Hands on experience on Spring boot Microservices, Primary Skills: - Core Java, Spring Boot, Java2/EE, Microservices- Hadoop Ecosystem (HBase, Hive, MapReduce, HDFS, Pig, Sqoop etc)- Spark Good to have Python. Strong knowledge of micro-service logging, monitoring, debugging and testing, In-depth knowledge of relational databases (e.g., MySQL) Experience in container platforms such as Docker and Kubernetes, experience in messaging platforms such as Kafka or IBM MQ, good understanding of Test-Driven-Development Familiar with Ant, Maven or other build automation framework, good knowledge of base UNIX commands, Experience in Concurrent design and multi-threading Preferred technical and professional experience None

As a BigData Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets In this role, your responsibilities may include: As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Big Data Developer, Hadoop, Hive, Spark, PySpark, Strong SQL. Ability to incorporate a variety of statistical and machine learning techniques. Basic understanding of Cloud (AWS,Azure, etc) . Ability to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumer Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed. Ability to use leading edge tools such as Linux, SQL, Python, Spark, Hadoop and Java Preferred technical and professional experience Basic understanding or experience with predictive/prescriptive modeling skills You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions

Developer leads the cloud application development/deployment. A developer responsibility is to lead the execution of a project by working with a senior level resource on assigned development/deployment activities and design, build, and maintain cloud environments focusing on uptime, access, control, and network security using automation and configuration management tools Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong proficiency in Java, Spring Framework, Spring boot, RESTful APIs, excellent understanding of OOP, Design Patterns. Strong knowledge of ORM tools like Hibernate or JPA, Java based Micro-services framework, Hands on experience on Spring boot Microservices Strong knowledge of micro-service logging, monitoring, debugging and testing, In-depth knowledge of relational databases (e.g., MySQL) Experience in container platforms such as Docker and Kubernetes, experience in messaging platforms such as Kafka or IBM MQ, Good understanding of Test-Driven-Development Familiar with Ant, Maven or other build automation framework, good knowledge of base UNIX commands Preferred technical and professional experience Experience in Concurrent design and multi-threading Primary Skills: - Core Java, Spring Boot, Java2/EE, Microservices - Hadoop Ecosystem (HBase, Hive, MapReduce, HDFS, Pig, Sqoop etc) - Spark Good to have Python

Developer leads the cloud application development/deployment. A developer responsibility is to lead the execution of a project by working with a level resource on assigned development/deployment activities and design, build, and maintain cloud environments focusing on uptime, access, control, and network security using automation and configuration management tools Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong proficiency in Java, Spring Framework, Spring boot, RESTful APIs, excellent understanding of OOP, Design Patterns. Strong knowledge of ORM tools like Hibernate or JPA, Java based Micro-services framework, Hands on experience on Spring boot Microservices Strong knowledge of micro-service logging, monitoring, debugging and testing, In-depth knowledge of relational databases (e.g., MySQL) Experience in container platforms such as Docker and Kubernetes, experience in messaging platforms such as Kafka or IBM MQ, Good understanding of Test-Driven-Development Familiar with Ant, Maven or other build automation framework, good knowledge of base UNIX commands Preferred technical and professional experience Experience in Concurrent design and multi-threading Primary Skills: - Core Java, Spring Boot, Java2/EE, Microservices - Hadoop Ecosystem (HBase, Hive, MapReduce, HDFS, Pig, Sqoop etc) - Spark Good to have Python

Before you apply to a job, select your language preference from the options available at the top right of this page. : Moving our world forward by delivering what matters! UPS is a company with a proud past and an even brighter future. Our values define us. Our culture differentiates us. Our strategy drives us. At UPS we are customer first, people led and innovation driven. UPSs India based Technology Development Centers will bring UPS one step closer to creating a global technology workforce that will help accelerate our digital journey and help us engineer technology solutions that drastically improve our competitive advantage in the field of Logistics. Future You grows as a visible and valued Technology professional with UPS, driving us towards an exciting tomorrow. As a global Technology organization we can put serious resources behind your development. If you are solutions orientated, UPS Technology is the place for you. Future You delivers ground-breaking solutions to some of the biggest logistics challenges around the globe. Youll take technology to unimaginable places and really make a difference for UPS and our customers. Job Summary This position provides input, support, and performs full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements. This position provides input to applications development project plans and integrations. He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives. This position provides knowledge and support for applications development, integration, and maintenance. He/She provides input to department and project teams on decisions supporting projects. Responsibilities: Performs systems analysis and design. Designs and develops moderate to highly complex applications. Develops application documentation. Produces integration builds. Performs maintenance and support. Supports emerging technologies and products. Primary Skills: Experience with Agile Development, .Net and angular (Min. 5 years) Experience in full stack development Experience in architecture and design with a proven track record of creating and supporting new large scale/operationally critical software products. Excellent verbal and written communication skills Experience in mobile development (Xamarin and Maui) Secondary Skills: Messaging (Active MQ) Application Containerization (Kubernetes, Red Hat Open Shift) Experience with public cloud (e.g., Google, Azure) Willingness to learn new technologies Desire to influence technical roadmaps Qualifications: 7-12 years of experience Bachelors Degree or International equivalent Bachelor's Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred Employee Type:

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader. Come to IBM and make a global impact Responsibilities: Responsible to manage end to end feature development and resolve challenges faced in implementing the same Learn new technologies and implement the same in feature development within the time frame provided Manage debugging, finding root cause analysis and fixing the issues reported on Content Management back end software system fixing the issues reported on Content Management back end software system Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Overall, more than 6 years of experience with more than 4+ years of Strong Hands on experience in Python and Spark Strong technical abilities to understand, design, write and debug to develop applications on Python and Pyspark. Good to Have;- Hands on Experience on cloud technology AWS/GCP/Azure strong problem-solving skill Preferred technical and professional experience Good to Have;- Hands on Experience on cloud technology AWS/GCP/Azure

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader. Come to IBM and make a global impact Responsibilities: Responsible to manage end to end feature development and resolve challenges faced in implementing the same Learn new technologies and implement the same in feature development within the time frame provided Manage debugging, finding root cause analysis and fixing the issues reported on Content Management back end software system fixing the issues reported on Content Management back end software system Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Overall, more than 6 years of experience with more than 4+ years of Strong Hands on experience in Python and Spark Strong technical abilities to understand, design, write and debug to develop applications on Python and Pyspark. Good to Have;- Hands on Experience on cloud technology AWS/GCP/Azure strong problem-solving skill Preferred technical and professional experience Good to Have;- Hands on Experience on cloud technology AWS/GCP/Azure

Lead the design and construction of new mobile solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise At least 3 years’ experience on Kubernetes and 1 year on openshift 4.X Knowledge of Advance cluster Management, Cluster Security Trouble shoot the OpenShift Cluster (Network, Security, Storage), Ability to setup OpenShift Container Platform on VMWARE Extensive knowledge in Docker and YAML scripting Preferred technical and professional experience Have worked with Red Hat ISV towards product patching and upgrades of OpenShift Experience in onboarding .net runtime on OpenShift Good to have (Not Mandatory) Advance Cluster Management

As a senior SAP Consultant, you will serve as a client-facing practitioner working collaboratively with clients to deliver high-quality solutions and be a trusted business advisor with deep understanding of SAP Accelerate delivery methodology or equivalent and associated work products. You will work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include: Strategic SAP Solution FocusWorking across technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Comprehensive Solution DeliveryInvolvement in strategy development and solution implementation, leveraging your knowledge of SAP and working with the latest technologies. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 5 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala. Minimum 3 years of experience on Cloud Data Platforms on AWS; Exposure to streaming solutions and message brokers like Kafka technologies. Experience in AWS EMR / AWS Glue / DataBricks, AWS RedShift, DynamoDB Good to excellent SQL skills Preferred technical and professional experience Certification in AWS and Data Bricks or Cloudera Spark Certified developers

As a senior SAP Consultant, you will serve as a client-facing practitioner working collaboratively with clients to deliver high-quality solutions and be a trusted business advisor with deep understanding of SAP Accelerate delivery methodology or equivalent and associated work products. You will work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include: Strategic SAP Solution FocusWorking across technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Comprehensive Solution DeliveryInvolvement in strategy development and solution implementation, leveraging your knowledge of SAP and working with the latest technologies. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 5 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala. Minimum 3 years of experience on Cloud Data Platforms on AWS; Exposure to streaming solutions and message brokers like Kafka technologies. Experience in AWS EMR / AWS Glue / DataBricks, AWS RedShift, DynamoDB Good to excellent SQL skills Preferred technical and professional experience Certification in AWS and Data Bricks or Cloudera Spark Certified developers

Hiring for US based Multinational Company (MNC) We are seeking a skilled and detail-oriented Data Engineer to join our team. In this role, you will design, build, and maintain scalable data pipelines and infrastructure to support business intelligence, analytics, and machine learning initiatives. You will work closely with data scientists, analysts, and software engineers to ensure that high-quality data is readily available and usable. Design and implement scalable, reliable, and efficient data pipelines for processing and transforming large volumes of structured and unstructured data. Build and maintain data architectures including databases, data warehouses, and data lakes. Collaborate with data analysts and scientists to support their data needs and ensure data integrity and consistency. Optimize data systems for performance, cost, and scalability. Implement data quality checks, validation, and monitoring processes. Develop ETL/ELT workflows using modern tools and platforms. Ensure data security and compliance with relevant data protection regulations. Monitor and troubleshoot production data systems and pipelines. Proven experience as a Data Engineer or in a similar role Strong proficiency in SQL and at least one programming language such as Python, Scala, or Java Experience with data pipeline tools such as Apache Airflow, Luigi, or similar Familiarity with modern data platforms and tools: Big Data: Hadoop, Spark Data Warehousing: Snowflake, Redshift, BigQuery, Azure Synapse Databases: PostgreSQL, MySQL, MongoDB Experience with cloud platforms (AWS, Azure, or GCP) Knowledge of data modeling, schema design, and ETL best practices Strong analytical and problem-solving skills

Overview Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines. You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments. Responsibilities Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope Active contributor to code & development in projects and services Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. Partner with ML engineers working on industrialization. Communicate with business stakeholders in the process of service design, training and knowledge transfer. Support large-scale experimentation and build data-driven models. Refine requirements into modelling problems. Influence product teams through data-based recommendations. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create reusable packages or libraries. Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards Leverage big data technologies to help process data and build scaled data pipelines (batch to real time) Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines Automate ML models deployments Qualifications BE/B.Tech in Computer Science, Maths, technical fields. Overall 2-4 years of experience working as a Data Scientist. 2+ years experience building solutions in the commercial or in the supply chain space. 2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus. Fluent in SQL syntaxis. 2+ years experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. 2+ years experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development. Data Science Hands on experience and strong knowledge of building machine learning models supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus Programming Skills Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL Statistics Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators Cloud (Azure) Experience in Databricks and ADF is desirable Familiarity with Spark, Hive, Pig is an added advantage Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool. Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities Experience with Agile methodology for team work and analytics product creation. Experience in Reinforcement Learning is a plus. Experience in Simulation and Optimization problems in any space is a plus. Experience with Bayesian methods is a plus. Experience with Causal inference is a plus. Experience with NLP is a plus. Experience with Responsible AI is a plus. Experience with distributed machine learning is a plus Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred) Model deployment experience is a plus Experience with version control systems like GitHub and CI/CD tools Experience in Exploratory data Analysis Knowledge of ML Ops / DevOps and deploying ML models is preferred Experience using MLFlow, Kubeflow etc. will be preferred Experience executing and contributing to ML OPS automation infrastructure is good to have Exceptional analytical and problem-solving skills Stakeholder engagement-BU, Vendors. Experience building statistical models in the Retail or Supply chain space is a plus

Skill : Java, Spark, Kafka Experience : 10 to 16 years Location : Hyderabad As Data Engineer, you will : Support in designing and rolling out the data architecture and infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources Identify data source, design and implement data schema/models and integrate data that meet the requirements of the business stakeholders Play an active role in the end-to-end delivery of AI solutions, from ideation, feasibility assessment, to data preparation and industrialization. Work with business, IT and data stakeholders to support with data-related technical issues, their data infrastructure needs as well as to build the most flexible and scalable data platform. With a strong focus on DataOps, design, develop and deploy scalable batch and/or real-time data pipelines. Design, document, test and deploy ETL/ELT processes Find the right tradeoffs between the performance, reliability, scalability, and cost of the data pipelines you implement Monitor data processing efficiency and propose solutions for improvements. • Have the discipline to create and maintain comprehensive project documentation. • Build and share knowledge with colleagues and coach junior profiles.

Allime Tech Solutions is looking for Hadoop with Scala Developer to join our dynamic team and embark on a rewarding career journey. A Developer is responsible for designing, developing, and maintaining software applications and systems They collaborate with a team of software developers, designers, and stakeholders to create software solutions that meet the needs of the business Key responsibilities:Design, code, test, and debug software applications and systemsCollaborate with cross-functional teams to identify and resolve software issuesWrite clean, efficient, and well-documented codeStay current with emerging technologies and industry trendsParticipate in code reviews to ensure code quality and adherence to coding standardsParticipate in the full software development life cycle, from requirement gathering to deploymentProvide technical support and troubleshooting for production issues Requirements:Strong programming skills in one or more programming languages, such as Python, Java, C++, or JavaScriptExperience with software development tools, such as version control systems (e g Git), integrated development environments (IDEs), and debugging toolsFamiliarity with software design patterns and best practicesGood communication and collaboration skills

Only for Immediate Joiners Core Responsibility: The project team will be spread between Paris and Bangalore. So, the candidate with an experience of 3-6 years is expected to work and coordinate on daily basis with the remote teams. Ability to learn new technology / framework / methodology. Hands-on individual responsible for producing excellent quality of code, adhering to expected coding standards and industry best practices. Must have strong knowledge and working experience on Big DATA ecosystem. Must have strong experience in SPARK/SCALA , NIFI, KAFKA, HIVE, PIG. Strong knowledge and experience working on HQL (hive Query Language) • Must have strong strong expertise in Debugging and Fixing Production Issues on BIG DATA eco System. Knowledge on code version management using Git & Jenkins, Nexus. • High levels of ownership and commitment on deliverables. Strong and Adaptive Communication Skills; Should be comfortable interacting with Paris counterparts to probe a technical problem or clarify requirement specifications. KEY SKILLS: Sound knowledge on SPARK/SCALA, NIFI, KAFKA - Must Have Sound Knowledge on HQL Knowledge on Kibana, Elastic Search Log stash Good to know Basic Awareness of CD/CI concepts & Technologies Big Data Ecosystem Good to know

Job Title / Primary Skill: Big Data Developer (Lead/Associate Manager) Management Level: G150 Years of Experience: 8 to 13 years Job Location: Bangalore (Hybrid) Must Have Skills: Big data, Spark, Scala, SQL, Hadoop Ecosystem. Educational Qualification: BE/BTech/ MTech/ MCA, Bachelor or masters degree in Computer Science, Job Overview Overall Experience 8+ years in IT, Software Engineering or relevant discipline. Designs, develops, implements, and updates software systems in accordance with the needs of the organization. Evaluates, schedules, and resources development projects; investigates user needs; and documents, tests, and maintains computer programs. Job Description: We look for developers to have good knowledge of Scala programming skills and Knowledge of SQL Technical Skills: Scala, Python -> Scala is often used for Hadoop-based projects, while Python and Scala are choices for Apache Spark-based projects. SQL -> Knowledge of SQL (Structured Query Language) is important for querying and manipulating data Shell Script -> Shell scripts are used for batch processing of data, it can be used for scheduling the jobs and shell scripts are often used for deploying applications Spark Scala -> Spark Scala allows you to write Spark applications using the Spark API in Scala Spark SQL -> It allows to work with structured data using SQL-like queries and Data Frame APIs. We can execute SQL queries against Data Frames, enabling easy data exploration, transformation, and analysis. The typical tasks and responsibilities of a Big Data Developer include: 1. Data Ingestion: Collecting and importing data from various sources, such as databases, logs, APIs into the Big Data infrastructure. 2. Data Processing: Designing data pipelines to clean, transform, and prepare raw data for analysis. This often involves using technologies like Apache Hadoop, Apache Spark. 3. Data Storage: Selecting appropriate data storage technologies like Hadoop Distributed File System (HDFS), HIVE, IMPALA, or cloud-based storage solutions (Snowflake, Databricks).