6030 Scala Jobs - Page 6

Category Engineering Experience Associate Primary Address Bangalore, Karnataka Overview Voyager (94001), India, Bangalore, Karnataka Associate Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor’s Degree At least 1.5 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 3+ years of experience in application development including Python, SQL, Scala, or Java 1+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 1+ years experience working on real-time data and streaming applications 1+ years of experience with NoSQL implementation (Mongo, Cassandra) 1+ years of data warehousing experience (Redshift or Snowflake) 2+ years of experience with UNIX/Linux including basic commands and shell scripting 1+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization for this position. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). This carousel contains a column of headings. Selecting a heading will change the main content in the carousel that follows. Use the Previous and Next buttons to cycle through all the options, use Enter to select. This carousel shows one item at a time. Use the preceding navigation carousel to select a specific heading to display the content here. How We Hire We take finding great coworkers pretty seriously. Step 1 Apply It only takes a few minutes to complete our application and assessment. Step 2 Screen and Schedule If your application is a good match you’ll hear from one of our recruiters to set up a screening interview. Step 3 Interview(s) Now’s your chance to learn about the job, show us who you are, share why you would be a great addition to the team and determine if Capital One is the place for you. Step 4 Decision The team will discuss — if it’s a good fit for us and you, we’ll make it official! How to Pick the Perfect Career Opportunity Overwhelmed by a tough career choice? Read these tips from Devon Rollins, Senior Director of Cyber Intelligence, to help you accept the right offer with confidence. Your wellbeing is our priority Our benefits and total compensation package is designed for the whole person. Caring for both you and your family. Healthy Body, Healthy Mind You have options and we have the tools to help you decide which health plans best fit your needs. Save Money, Make Money Secure your present, plan for your future and reduce expenses along the way. Time, Family and Advice Options for your time, opportunities for your family, and advice along the way. It’s time to BeWell. Career Journey Here’s how the team fits together. We’re big on growth and knowing who and how coworkers can best support you.

Category Engineering Experience Principal Associate Primary Address Bangalore, Karnataka Overview Voyager (94001), India, Bangalore, Karnataka Senior Software Engineer - Full Stack (INSE45) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Utilize various programming languages, Open Source technologies, Relational/NoSQL databases, Containers and a variety of AWS tools and services with a special focus on Serverless initiatives. Implement software in unambiguous and uncomplicated domains with regular guidance while learning and applying standards and practices Perform directed enhancements to established deployment pipelines and troubleshoot moderately complex issues with local builds and deployment pipelines Learn specified architectural and design patterns and apply the learning to design non complex systems and simple architectures Debug most moderately complex issues across backend, frontend, middleware, infrastructure, databases and pipelines across all environments from local to production Quickly identify root cause and implement fixes with occasional expert assistance on challenging issues Develop features to enhance the overall user experience when provided high level direction Basic Qualifications: Bachelor’s degree At least 2 years of experience building back-end services (Including but not limited to: Java, JavaScript, Python, Go, Node, Scala, TypeScript, Spring Boot) (Internship experience does not apply) At least 1 year of experience with a front-end language (Including but not limited to: JavaScript, TypeScript) (Internship experience does not apply) At least 1 year of experience with a database technology (Including but not limited to: MySQL, PostgreSQL, MongoDB, Redis, Cassandra, DynamoDB) (Internship experience does not apply) At least 1 year of experience with a UI framework (Including but not limited to: Angular, Vue, React) (Internship experience does not apply) At least 1 year of experience designing, building, and testing distributed systems (Internship experience does not apply) Preferred Qualifications: Experience in Agile or Kanban software development methodologies and Agile software development 2+ years of experience with a cloud computing provider (AWS, Microsoft Azure, Google Cloud) 2+ years of experience implementing functional tests, unit tests, integrated tests or automated tests to support CICD 2+ years of experience with a server side application framework (Django, Express, Spring) 2+ years of experience building and testing software 2+ years of experience with high level design (HLD) ** At this time, Capital One will not sponsor a new applicant for employment authorization for this position. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). This carousel contains a column of headings. Selecting a heading will change the main content in the carousel that follows. Use the Previous and Next buttons to cycle through all the options, use Enter to select. This carousel shows one item at a time. Use the preceding navigation carousel to select a specific heading to display the content here. How We Hire We take finding great coworkers pretty seriously. Step 1 Apply It only takes a few minutes to complete our application and assessment. Step 2 Screen and Schedule If your application is a good match you’ll hear from one of our recruiters to set up a screening interview. Step 3 Interview(s) Now’s your chance to learn about the job, show us who you are, share why you would be a great addition to the team and determine if Capital One is the place for you. Step 4 Decision The team will discuss — if it’s a good fit for us and you, we’ll make it official! How to Pick the Perfect Career Opportunity Overwhelmed by a tough career choice? Read these tips from Devon Rollins, Senior Director of Cyber Intelligence, to help you accept the right offer with confidence. Your wellbeing is our priority Our benefits and total compensation package is designed for the whole person. Caring for both you and your family. Healthy Body, Healthy Mind You have options and we have the tools to help you decide which health plans best fit your needs. Save Money, Make Money Secure your present, plan for your future and reduce expenses along the way. Time, Family and Advice Options for your time, opportunities for your family, and advice along the way. It’s time to BeWell. Career Journey Here’s how the team fits together. We’re big on growth and knowing who and how coworkers can best support you.

Category Engineering Experience Sr. Manager Primary Address Bangalore, Karnataka Overview Voyager (94001), India, Bangalore, Karnataka Software Engineer Full Stack - Senior Manager (INSE56) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineering Senior Manager, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full stack systems Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code Utilize various programming languages, Open Source technologies, Relational/NoSQL databases, Containers and a variety of AWS tools and services with a special focus on Serverless initiatives. Implement complex software solutions with little to no support in ambiguous problem spaces, while showing mastery of identifying and creating patterns and practices, sharing those practices with others. Formulate and execute on the delivery of an end to end continuous delivery strategy design and contributes new pipeline capabilities to the enterprise, while quickly troubleshooting the most complicated issues with local builds and deployment pipelines Apply modern application architecture and design patterns to the most ambiguous and complex domains, while developing new architectural and design patterns as needed to solve the most challenging issues Debug the most complex issues across backend, frontend, middleware, infrastructure, databases and pipelines across all environments from local to production and across distributed systems Quickly identify root cause, implement fix, correct any affected data, and implement process changes to prevent similar issues in the future Develop the most complex features to enhance the overall user experience from business goals Lead team(s) to collaboratively develop distributed feature sets by providing technical direction or detailed instruction Basic Qualifications: Bachelor’s degree At least 6 years of experience building back-end services (Including but not limited to: Java, JavaScript, Python, Go, Node, Scala, TypeScript, Spring Boot) (Internship experience does not apply) At least 3 years of experience with a front-end language (Including but not limited to: JavaScript, TypeScript) (Internship experience does not apply) At least 3 years of experience with a database technology (Including but not limited to: MySQL, PostgreSQL, MongoDB, Redis, Cassandra, DynamoDB) (Internship experience does not apply) At least 3 years of experience with a UI framework (Including but not limited to: Angular, Vue, React) (Internship experience does not apply) At least 3 years of experience designing, building, and testing distributed systems (Internship experience does not apply) At least 3 years of experience in a technical leadership role overseeing strategic projects At least 3 years of experience in a people management position Preferred Qualifications: Experience in Agile or Kanban software development methodologies and Agile software development 6+ years of experience with a cloud computing provider (AWS, Microsoft Azure, Google Cloud) 6+ years of experience implementing functional tests, unit tests, integrated tests or automated tests to support CICD 6+ years of experience with a server side application framework (Django, Express, Spring) 6+ years of experience building and testing software 6+ years of experience with high level design (HLD) **Capital One will not consider sponsoring a new qualified applicant for employment authorization for this position. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Category Engineering Experience Associate Primary Address Bangalore, Karnataka Overview Voyager (94001), India, Bangalore, Karnataka Associate Software Engineer - Full Stack (INSE35) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community. Utilize various programming languages, Open Source technologies, Relational/NoSQL databases, Containers and a variety of AWS tools and services with a special focus on Serverless initiatives. Implement automated tests to support continuous delivery while monitoring and troubleshooting basic issues with established deployment pipelines. Experience implementing uncomplicated software according to clearly specified designs and apply design patterns effectively when instructed. Debug nominal issues across backend, frontend, middleware, infrastructure, databases and pipelines across all environments from local to production in a reasonable timeframe. Develop features to enhance the overall user experience based on wireframes and detailed design mockups. Basic Qualifications: Bachelor’s degree At least 18 months of experience building back-end services (Including but not limited to: Java, JavaScript, Python, Go, Node, Scala, TypeScript, Spring Boot) (Internship experience does not apply) At least 6 months of experience with a front-end language (Including but not limited to: JavaScript, TypeScript) (Internship experience does not apply) At least 6 months of experience with a database technology (Including but not limited to: MySQL, PostgreSQL, MongoDB, Redis, Cassandra, DynamoDB) (Internship experience does not apply) At least 6 months of experience designing, building, and testing distributed systems (Internship experience does not apply) Preferred Qualifications: Experience in Agile or Kanban software development methodologies and Agile software development 1+ year of experience with a cloud computing provider (AWS, Microsoft Azure, Google Cloud) 1+ year of experience implementing functional tests, unit tests, integrated tests or automated tests to support CICD 1+ year of experience with a server side application framework (Django, Express, Spring) 1+ year of experience with a UI framework (Angular, Vue, React) 1+ year of experience building and testing software 1+ year of experience with high level design (HLD) **At this time, Capital One will not sponsor a new applicant for employment authorization for this position. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Voyager (94001), India, Bangalore, Karnataka Associate Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor’s Degree At least 1.5 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 3+ years of experience in application development including Python, SQL, Scala, or Java 1+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 1+ years experience working on real-time data and streaming applications 1+ years of experience with NoSQL implementation (Mongo, Cassandra) 1+ years of data warehousing experience (Redshift or Snowflake) 2+ years of experience with UNIX/Linux including basic commands and shell scripting 1+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization for this position. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Voyager (94001), India, Bangalore, Karnataka Associate Software Engineer - Full Stack (INSE35) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community. Utilize various programming languages, Open Source technologies, Relational/NoSQL databases, Containers and a variety of AWS tools and services with a special focus on Serverless initiatives. Implement automated tests to support continuous delivery while monitoring and troubleshooting basic issues with established deployment pipelines. Experience implementing uncomplicated software according to clearly specified designs and apply design patterns effectively when instructed. Debug nominal issues across backend, frontend, middleware, infrastructure, databases and pipelines across all environments from local to production in a reasonable timeframe. Develop features to enhance the overall user experience based on wireframes and detailed design mockups. Basic Qualifications: Bachelor’s degree At least 18 months of experience building back-end services (Including but not limited to: Java, JavaScript, Python, Go, Node, Scala, TypeScript, Spring Boot) (Internship experience does not apply) At least 6 months of experience with a front-end language (Including but not limited to: JavaScript, TypeScript) (Internship experience does not apply) At least 6 months of experience with a database technology (Including but not limited to: MySQL, PostgreSQL, MongoDB, Redis, Cassandra, DynamoDB) (Internship experience does not apply) At least 6 months of experience designing, building, and testing distributed systems (Internship experience does not apply) Preferred Qualifications: Experience in Agile or Kanban software development methodologies and Agile software development 1+ year of experience with a cloud computing provider (AWS, Microsoft Azure, Google Cloud) 1+ year of experience implementing functional tests, unit tests, integrated tests or automated tests to support CICD 1+ year of experience with a server side application framework (Django, Express, Spring) 1+ year of experience with a UI framework (Angular, Vue, React) 1+ year of experience building and testing software 1+ year of experience with high level design (HLD) **At this time, Capital One will not sponsor a new applicant for employment authorization for this position. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Voyager (94001), India, Bangalore, Karnataka Senior Software Engineer - Full Stack (INSE45) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Utilize various programming languages, Open Source technologies, Relational/NoSQL databases, Containers and a variety of AWS tools and services with a special focus on Serverless initiatives. Implement software in unambiguous and uncomplicated domains with regular guidance while learning and applying standards and practices Perform directed enhancements to established deployment pipelines and troubleshoot moderately complex issues with local builds and deployment pipelines Learn specified architectural and design patterns and apply the learning to design non complex systems and simple architectures Debug most moderately complex issues across backend, frontend, middleware, infrastructure, databases and pipelines across all environments from local to production Quickly identify root cause and implement fixes with occasional expert assistance on challenging issues Develop features to enhance the overall user experience when provided high level direction Basic Qualifications: Bachelor’s degree At least 2 years of experience building back-end services (Including but not limited to: Java, JavaScript, Python, Go, Node, Scala, TypeScript, Spring Boot) (Internship experience does not apply) At least 1 year of experience with a front-end language (Including but not limited to: JavaScript, TypeScript) (Internship experience does not apply) At least 1 year of experience with a database technology (Including but not limited to: MySQL, PostgreSQL, MongoDB, Redis, Cassandra, DynamoDB) (Internship experience does not apply) At least 1 year of experience with a UI framework (Including but not limited to: Angular, Vue, React) (Internship experience does not apply) At least 1 year of experience designing, building, and testing distributed systems (Internship experience does not apply) Preferred Qualifications: Experience in Agile or Kanban software development methodologies and Agile software development 2+ years of experience with a cloud computing provider (AWS, Microsoft Azure, Google Cloud) 2+ years of experience implementing functional tests, unit tests, integrated tests or automated tests to support CICD 2+ years of experience with a server side application framework (Django, Express, Spring) 2+ years of experience building and testing software 2+ years of experience with high level design (HLD) ** At this time, Capital One will not sponsor a new applicant for employment authorization for this position. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Voyager (94001), India, Bangalore, Karnataka Software Engineer Full Stack - Senior Manager (INSE56) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineering Senior Manager, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full stack systems Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code Utilize various programming languages, Open Source technologies, Relational/NoSQL databases, Containers and a variety of AWS tools and services with a special focus on Serverless initiatives. Implement complex software solutions with little to no support in ambiguous problem spaces, while showing mastery of identifying and creating patterns and practices, sharing those practices with others. Formulate and execute on the delivery of an end to end continuous delivery strategy design and contributes new pipeline capabilities to the enterprise, while quickly troubleshooting the most complicated issues with local builds and deployment pipelines Apply modern application architecture and design patterns to the most ambiguous and complex domains, while developing new architectural and design patterns as needed to solve the most challenging issues Debug the most complex issues across backend, frontend, middleware, infrastructure, databases and pipelines across all environments from local to production and across distributed systems Quickly identify root cause, implement fix, correct any affected data, and implement process changes to prevent similar issues in the future Develop the most complex features to enhance the overall user experience from business goals Lead team(s) to collaboratively develop distributed feature sets by providing technical direction or detailed instruction Basic Qualifications: Bachelor’s degree At least 6 years of experience building back-end services (Including but not limited to: Java, JavaScript, Python, Go, Node, Scala, TypeScript, Spring Boot) (Internship experience does not apply) At least 3 years of experience with a front-end language (Including but not limited to: JavaScript, TypeScript) (Internship experience does not apply) At least 3 years of experience with a database technology (Including but not limited to: MySQL, PostgreSQL, MongoDB, Redis, Cassandra, DynamoDB) (Internship experience does not apply) At least 3 years of experience with a UI framework (Including but not limited to: Angular, Vue, React) (Internship experience does not apply) At least 3 years of experience designing, building, and testing distributed systems (Internship experience does not apply) At least 3 years of experience in a technical leadership role overseeing strategic projects At least 3 years of experience in a people management position Preferred Qualifications: Experience in Agile or Kanban software development methodologies and Agile software development 6+ years of experience with a cloud computing provider (AWS, Microsoft Azure, Google Cloud) 6+ years of experience implementing functional tests, unit tests, integrated tests or automated tests to support CICD 6+ years of experience with a server side application framework (Django, Express, Spring) 6+ years of experience building and testing software 6+ years of experience with high level design (HLD) **Capital One will not consider sponsoring a new qualified applicant for employment authorization for this position. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Voyager (94001), India, Bangalore, Karnataka Manager, Data Engineering Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor’s Degree At least 4 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) At least 2 years of people management experience Preferred Qualifications: 7+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization for this position. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Why Join Us? Are you an technologist who is passionate about building robust, scalable, and performant applications & data products? This is exactly what we do, join Data Engineering & Tooling Team! Data Engineering & Tooling Team (part of Enterprise Data Products at Expedia) is responsible for making traveler, partner & supply data accessible, unlocking insights and value! Our Mission is to build and manage the travel industry's premier Data Products and SDKs. Software Development Engineer II Introduction to team Our team is looking for an Software Engineer who applies engineering principles to build & improve existing systems. We follow Agile principles, and we're proud to offer a dynamic, diverse and collaborative environment where you can play an impactful role and build your career. Would you like to be part of a Global Tech company that does Travel? Don't wait, Apply Now! In this role, you will Implement products and solutions that are highly scalable with high-quality, clean, maintainable, optimized, modular and well-documented code across the technology stack. [OR - Writing code that is clean, maintainable, optimized, modular.] Crafting API's, developing and testing applications and services to ensure they meet design requirements. Work collaboratively with all members of the technical staff and other partners to build and ship outstanding software in a fast-paced environment. Applying knowledge of software design principles and Agile methodologies & tools. Resolve problems and roadblocks as they occur with help from peers or managers. Follow through on details and drive issues to closure. Assist with supporting production systems (investigate issues and working towards resolution). Experience and qualifications: Bachelor's degree or Masters in Computer Science & Engineering, or a related technical field; or equivalent related professional experience. 2+ years of software development or data engineering experience in an enterprise-level engineering environment. Proficient with Object Oriented Programming concepts with a strong understanding of Data Structures, Algorithms, Data Engineering (at scale), and Computer Science fundamentals. Experience with Java, Scala, Spring framework, Micro-service architecture, Orchestration of containerized applications along with a good grasp of OO design with strong design patterns knowledge. Solid understanding of different API types (e.g. REST, GraphQL, gRPC), access patterns and integration. Prior knowledge & experience of NoSQL databases (e.g. ElasticSearch, ScyllaDB, MongoDB). Prior knowledge & experience of big data platforms, batch processing (e.g. Spark, Hive), stream processing (e.g. Kafka, Flink) and cloud-computing platforms such as Amazon Web Services. Knowledge & Understanding of monitoring tools, testing (performance, functional), application debugging & tuning. Good communication skills in written and verbal form with the ability to present information in a clear and concise manner. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

You should possess 8-10 years of Data and Analytics experience, including at least 5 years in Azure Data Factory and a minimum of 2 years in Databricks. Your communication and presentation skills should be excellent. It is required to have mastery in Data Engineering and Data Analysis, along with being Data Bricks Certified. You should have expertise in ETL/ELT processes, specifically in Azure Data Factory, Synapse Pipelines, and data transformation tasks like deduplication, filtering, sorting, etc. Proficiency in SQL and programming languages like Python is expected. As part of your skill set, you should be proficient in Azure Data Engineering Tools such as ADLS, SQL DB, Data Factory, Databricks, and Key Vault. Experience in job scheduling, automation, and orchestration using Azure Logic Apps, Functions, or any other ETL scheduler is essential. Designing and developing production data pipelines within a big data architecture, using Python, Scala, and having a good understanding of Delta Lake is crucial. Experience in building and delivering data analytics solutions using Azure is required. You should be familiar with project delivery methodologies like Waterfall, Agile, Scrum, and have experience in managing both internal and external stakeholders. Additionally, working experience with reporting tools like Power BI, Tableau, etc., will be an advantage.,

As a Senior Data Engineer at our Pune location, you will play a critical role in designing, developing, and maintaining scalable data pipelines and architectures using Data bricks on Azure/AWS cloud platforms. With 6 to 9 years of experience in the field, you will collaborate with stakeholders to integrate large datasets, optimize performance, implement ETL/ELT processes, ensure data governance, and work closely with cross-functional teams to deliver accurate solutions. Your responsibilities will include building, maintaining, and optimizing data workflows, integrating datasets from various sources, tuning pipelines for performance and scalability, implementing ETL/ELT processes using Spark and Data bricks, ensuring data governance, collaborating with different teams, documenting data pipelines, and developing automated processes for continuous integration and deployment of data solutions. To excel in this role, you should have 6 to 9 years of hands-on experience as a Data Engineer, expertise in Apache Spark, Delta Lake, Azure/AWS Data bricks, proficiency in Python, Scala, or Java, advanced SQL skills, experience with cloud data platforms, data warehousing solutions, data modeling, ETL tools, version control systems, and automation tools. Additionally, soft skills such as problem-solving, attention to detail, and ability to work in a fast-paced environment are essential. Nice to have skills include experience with Data bricks SQL and Data bricks Delta, knowledge of machine learning concepts, and experience in CI/CD pipelines for data engineering solutions. Joining our team offers challenging work with international clients, growth opportunities, a collaborative culture, and global project involvement. We provide competitive salaries, flexible work schedules, health insurance, performance-based bonuses, and other standard benefits. If you are passionate about data engineering, possess the required skills and qualifications, and thrive in a dynamic and innovative environment, we welcome you to apply for this exciting opportunity.,

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. You will be part of a team of highly skilled professionals working with cutting-edge technologies. Our purpose is to bring real positive changes in an increasingly virtual world, transcending generational gaps and disruptions of the future. We are seeking AWS Glue Professionals with the following qualifications: - 3 or more years of experience in AWS Glue, Redshift, and Python - 3+ years of experience in engineering with expertise in ETL work with cloud databases - Proficiency in data management and data structures, including writing code for data reading, transformation, and storage - Experience in launching spark jobs in client mode and cluster mode, with knowledge of spark job property settings and their impact on performance - Proficiency with source code control systems like Git - Experience in developing ELT/ETL processes for loading data from enterprise-sized RDBMS systems such as Oracle, DB2, MySQL, etc. - Coding proficiency in Python or expertise in high-level languages like Java, C, Scala - Experience in using REST APIs - Expertise in SQL for manipulating database data, familiarity with views, functions, stored procedures, and exception handling - General knowledge of AWS Stack (EC2, S3, EBS), IT Process Compliance, SDLC experience, and formalized change controls - Working in DevOps teams based on Agile principles (e.g., Scrum) - ITIL knowledge, especially in incident, problem, and change management - Proficiency in PySpark for distributed computation - Familiarity with Postgres and ElasticSearch At YASH, you will have the opportunity to build a career in an inclusive team environment. We offer career-oriented skilling models and leverage technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our workplace is grounded in four principles: - Flexible work arrangements, free spirit, and emotional positivity - Agile self-determination, trust, transparency, and open collaboration - Support for the realization of business goals - Stable employment with a great atmosphere and ethical corporate culture.,

Job Summary We are looking for a skilled Data Modeler / Architect with 58 years of experience in designing, implementing, and optimizing robust data architectures in the financial payments industry. The ideal candidate will have deep expertise in SQL, data modeling, ETL/ELT pipeline development, and cloud-based data platforms such as Databricks or Snowflake. You will play a key role in designing scalable data models, orchestrating reliable data workflows, and ensuring the integrity and performance of mission-critical financial datasets. This is a highly collaborative role interfacing with engineering, analytics, product, and compliance teams. Key Responsibilities Design, implement, and maintain logical and physical data models to support transactional, analytical, and reporting systems. Develop and manage scalable ETL/ELT pipelines for processing large volumes of financial transaction data. Tune and optimize SQL queries, stored procedures, and data transformations for maximum performance. Build and manage data orchestration workflows using tools like Airflow, Dagster, or Luigi. Architect data lakes and warehouses using platforms like Databricks, Snowflake, BigQuery, or Redshift. Enforce and uphold data governance, security, and compliance standards (e.g., PCI-DSS, GDPR). Collaborate closely with data engineers, analysts, and business stakeholders to understand data needs and deliver solutions. Conduct data profiling, validation, and quality assurance to ensure clean and consistent data. Maintain clear and comprehensive documentation for data models, pipelines, and architecture. Required Skills & Qualifications 58 years of experience as a Data Modeler, Data Architect, or Senior Data Engineer in the financial/payments domain. Advanced SQL expertise, including query tuning, indexing, and performance optimization. Proficiency in developing ETL/ELT workflows using tools such as Spark, dbt, Talend, or Informatica. Experience with data orchestration frameworks: Airflow, Dagster, Luigi, etc. Strong hands-on experience with cloud-based data platforms like Databricks, Snowflake, or equivalents. Deep understanding of data warehousing principles: star/snowflake schema, slowly changing dimensions, etc. Familiarity with financial data structures, such as payment transactions, reconciliation, fraud patterns, and audit trails. Working knowledge of cloud services (AWS, GCP, or Azure) and data security best practices. Strong analytical thinking and problem-solving capabilities in high-scale environments. Preferred Qualifications Experience with real-time data pipelines (e.g., Kafka, Spark Streaming). Exposure to data mesh or data fabric architecture paradigms. Certifications in Snowflake, Databricks, or relevant cloud platforms. Knowledge of Python or Scala for data engineering tasks (ref:hirist.tech)

As a senior-level Data Engineer with Machine Learning Analyst capabilities, you will play a crucial role in leading the architecture, development, and management of scalable data solutions. Your expertise in data architecture, big data pipeline development, and data quality enhancement will be key in processing large-scale datasets and supporting machine learning workflows. Your key responsibilities will include designing, developing, and maintaining end-to-end data pipelines for ingestion, transformation, and delivery across various business systems. You will ensure robust data quality, data lineage, data reconciliation, and governance practices. Additionally, you will architect and manage data warehouse and big data solutions supporting both structured and unstructured data. Optimizing and automating ETL/ELT processes for high-volume data environments will be essential, with a focus on processing 5B+ records. Collaborating with data scientists and analysts to support machine learning workflows and implementing streamlined DAAS workflows will also be part of your role. To succeed in this position, you must have at least 10 years of experience in data engineering, including data architecture and pipeline development. Your proven experience with Spark and Hadoop clusters for processing large-scale datasets, along with a strong understanding of ETL frameworks, data quality processes, and automation best practices, will be critical. Experience in data ingestion, lineage, governance, and reconciliation, as well as a solid understanding of data warehouse design principles and data modeling, are must-have skills. Expertise in automated data processing, especially for DAAS platforms, is essential. Desirable skills for this role include experience with Apache HBase, Apache NiFi, and other Big Data tools, knowledge of distributed computing principles and real-time data streaming, familiarity with machine learning pipelines and supporting data structures, and exposure to data cataloging and metadata management tools. Proficiency in Python, Scala, or Java for data engineering tasks is also beneficial. In addition to technical skills, soft skills such as a strong analytical and problem-solving mindset, excellent communication skills for collaboration across technical and business teams, and the ability to work independently, manage multiple priorities, and lead data initiatives are required. If you are excited about the opportunity to work as a Data Engineer with Machine Learning Analyst capabilities and possess the necessary skills and experience, we look forward to receiving your application.,

Zinnia is the leading technology platform for accelerating life and annuities growth, simplifying the experience of buying, selling, and administering insurance products. Our success is driven by a commitment to three core values: be bold, team up, deliver value. With over $180 billion in assets under administration, serving 100+ carrier clients, 2500 distributors, and partners, Zinnia enables more people to protect their financial futures. We are looking for an experienced Data Engineer to join our data engineering team. Your role will involve designing, building, and optimizing robust data pipelines and platforms that power our analytics, products, and decision-making. You will collaborate with data scientists, analysts, product managers, and other engineers to deliver scalable, efficient, and reliable data solutions. Your responsibilities will include designing, developing, and maintaining scalable big data pipelines using Spark (Scala or PySpark), Hive, and HDFS. You will also build and manage data workflows and orchestration using Airflow, write efficient production-grade code in languages like Python, Java, or Scala, and develop complex SQL queries for data transformation and reporting. Additionally, you will work on cloud platforms like AWS to deploy and manage data infrastructure and collaborate with data stakeholders to deliver high-quality data solutions. To be successful in this role, you should have strong experience with the Big Data stack, excellent programming skills, expertise in SQL, hands-on experience with Spark tuning and optimization, and familiarity with Airflow for data workflow orchestration. A degree in Computer Science, Engineering, or a related field, along with at least 5 years of experience as a Data Engineer, is required. You should also have a proven track record of delivering production-ready data pipelines in big data environments and possess strong analytical thinking, problem-solving, and communication skills. Preferred or nice-to-have skills include knowledge of the AWS ecosystem, experience with Trino or Presto for interactive querying, familiarity with Lakehouse formats, exposure to DBT for analytics engineering, experience with Kafka for streaming ingestion, and familiarity with monitoring tools like Prometheus and Grafana. Joining our team as a Data Engineer will provide you with the opportunity to work on cutting-edge technologies, collaborate with a diverse group of professionals, and contribute to impactful projects that shape the future of insurance technology.,

Agoda is an online travel booking platform offering accommodations, flights, and more, connecting travelers with a global network of 4.7M hotels and holiday properties worldwide, as well as flights, activities, and additional services. As part of Booking Holdings and based in Asia, we boast a diverse team of 7,100+ employees from 95+ nationalities across 27 markets, fostering an environment rich in diversity, creativity, and collaboration. We thrive on innovation through a culture of experimentation and ownership, aiming to enhance our customers" ability to explore the world. Our Purpose: Bridging the World Through Travel We believe that travel enables people to enjoy, learn, and experience the wonders of our world, bringing individuals and cultures closer together, promoting empathy, understanding, and happiness. Join our skillful, driven, and diverse team from various parts of the globe, united by a shared passion to make a positive impact. Leveraging our innovative technologies and strong partnerships, we strive to simplify and enhance travel experiences for all. The Opportunity: Agoda seeks developers to contribute to mission-critical systems involved in designing and developing APIs that cater to millions of user search requests daily. In this Role, you will: - Lead the development of features, experiments, technical projects, and complex systems - Serve as a technical architect, mentor, and advocate for the right technology choices - Continuously refine our architecture and enhance software development - Play a significant role in our agile and scrum practices - Collaborate with server, client, and infrastructure teams to deliver optimal solutions - Proactively seek ways to enhance our products, codebase, and development processes - Write high-quality code and support others in doing the same - Drive technical decisions within the organization What You'll Need to Succeed: - Over 7 years of experience in developing performance-critical applications in a production environment using Scala, Java, or C# - Proficiency in leading projects, initiatives, and teams with full ownership of the systems involved - Familiarity with data platforms like SQL, Cassandra, or Hadoop - Strong understanding of algorithms and data structures - Excellent coding skills - Passion for software development, continuously striving to enhance knowledge and skills - Proficient in verbal and written English communication Preferred Qualifications: - Experience with Scrum/Agile development methodologies - Background in developing large-scale distributed products - Hands-on experience with core engineering infrastructure tools like Git, TeamCity, and Puppet - Familiarity with technologies such as queueing systems, Spark, Hadoop, NoSQL databases, Play framework, and Akka library Agoda is an Equal Opportunity Employer. Your application will be kept on file for future opportunities, and you can request removal of your details at any time. For more information, please refer to our privacy policy.,

As a Principal Software Engineer (Java) at Walmart Global Tech in Chennai, you will be responsible for leveraging your 15-20 years of experience in software design, development, and automated deployments to deliver highly scalable large-scale data processing Java applications. You should have a Bachelor's/Masters degree in Computer Science, engineering, or a related field, along with a strong background in system design, DS/Algo, and Spring Boot. Your role will involve hosting and participating in Architecture Review & Design/Code Review events, demonstrating strong computer science fundamentals such as data structures, algorithms, and design patterns. You will be required to have extensive hands-on experience in building services using technologies like Scala, Java, Springboot, Microservices, and NodeJs. Additionally, knowledge of web technologies like React JS, Angular JS, JavaScript, TypeScript, and CSS will be beneficial. You should be well-versed in Restful and SOAP web services, messaging systems like Kafka/RabbitMQ, SQL and NoSQL databases, and unit testing frameworks like Junit, Jest, and Spock. Familiarity with cloud platforms, CI/CD development environments/tools, and logging and metrics tools is essential. Your experience with search engines like Lucene/Solr and demonstrated end-to-end ownership of cloud-based projects will be highly valued. Furthermore, your strong hands-on development skills, willingness to learn new technologies, exceptional communication, and interpersonal skills will play a crucial role in driving change and influencing outcomes. As a practitioner of Agile (Scrum) methodology, you will work in a collaborative environment where innovation is key to making a significant impact on millions of people's lives. At Walmart Global Tech, we offer a flexible, hybrid work environment that combines in-office and virtual presence to foster collaboration and innovation. In addition to a competitive compensation package, we provide various benefits, including incentive awards, maternity and parental leave, health benefits, and more. We are committed to building a diverse and inclusive workplace where all individuals are respected, valued, and empowered to contribute to our mission of helping people live better lives. Join us to be part of a team that is shaping the future of retail with cutting-edge technology and innovative solutions.,

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Responsibilities: Job Description: · Analyses current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics Services. · Provide technical leadership and thought leadership as a senior member of the Analytics Practice in areas such as data access & ingestion, data processing, data integration, data modeling, database design & implementation, data visualization, and advanced analytics. · Engage and collaborate with customers to understand business requirements/use cases and translate them into detailed technical specifications. · Develop best practices including reusable code, libraries, patterns, and consumable frameworks for cloud-based data warehousing and ETL. · Maintain best practice standards for the development or cloud-based data warehouse solutioning including naming standards. · Designing and implementing highly performant data pipelines from multiple sources using Apache Spark and/or Azure Databricks · Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained · Working with other members of the project team to support delivery of additional project components (API interfaces) · Evaluating the performance and applicability of multiple tools against customer requirements · Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints. · Integrate Databricks with other technologies (Ingestion tools, Visualization tools). · Proven experience working as a data engineer · Highly proficient in using the spark framework (python and/or Scala) · Extensive knowledge of Data Warehousing concepts, strategies, methodologies. · Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably in Databricks). · Hands on experience designing and delivering solutions using Azure including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Cosmos DB, Azure Stream Analytics · Experience in designing and hands-on development in cloud-based analytics solutions. · Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required. · Designing and building of data pipelines using API ingestion and Streaming ingestion methods. · Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential. · Thorough understanding of Azure Cloud Infrastructure offerings. · Strong experience in common data warehouse modelling principles including Kimball. · Working knowledge of Python is desirable · Experience developing security models. · Databricks & Azure Big Data Architecture Certification would be plus · Must be team oriented with strong collaboration, prioritization, and adaptability skills required Mandatory skill sets: Azure Databricks Preferred skill sets: Azure Databricks Years of experience required: 7-10 Years Education qualification: BE, B.Tech, MCA, M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Databricks Platform Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

The Senior Software Engineer (Backend) position at Vantage Circle in Guwahati requires a candidate with 3-4+ years of experience and a BE/B.Tech or higher degree in Computer Science or a related field. Vantage Circle is a prominent SaaS platform offering AI-powered employee engagement solutions globally. As the company experiences rapid growth, they are in search of enthusiastic technologists to contribute to the development of scalable backend services supporting their products. In this role, you will be responsible for designing, developing, and deploying critical backend components while also providing guidance to team members and ensuring technical excellence. Your main responsibilities will include designing and building robust, scalable backend systems and APIs in alignment with industry best practices, taking ownership of complex backend architecture, leading development projects, mentoring junior and mid-level engineers, collaborating with cross-functional teams, and driving innovation to enhance system performance and maintainability. The preferred tech stack for this role includes programming languages such as Scala (preferred) and Java, frameworks like Play Framework or similar Java-based frameworks, databases including MySQL and MongoDB, and tools like Git, Jenkins CI/CD, and Docker. The ideal candidate should have a strong understanding of object-oriented and functional programming paradigms, experience in designing RESTful APIs and building scalable microservices, knowledge of relational and NoSQL databases, familiarity with performance tuning and distributed system design, and the ability to thrive in a fast-paced, collaborative, agile environment. A passion for clean code, testing, and continuous improvement is also desired.,

You should possess a BTech degree in computer science, engineering, or a related field of study, or have 12+ years of related work experience. Additionally, you should have at least 7 years of design and implementation experience with large-scale data-centric distributed applications. It is essential to have professional experience in architecting and operating cloud-based solutions, with a good understanding of core disciplines such as compute, networking, storage, security, and databases. A strong grasp of data engineering concepts like storage, governance, cataloging, data quality, and data modeling is required. Familiarity with various architecture patterns like data lake, data lake house, and data mesh is also important. You should have a good understanding of Data Warehousing concepts and hands-on experience with tools like Hive, Redshift, Snowflake, and Teradata. Experience in migrating or transforming legacy customer solutions to the cloud is highly valued. Moreover, experience working with services like AWS EMR, Glue, DMS, Kinesis, RDS, Redshift, Dynamo DB, Document DB, SNS, SQS, Lambda, EKS, and Data Zone is necessary. A thorough understanding of Big Data ecosystem technologies such as Hadoop, Spark, Hive, and HBase, along with other relevant tools and technologies, is expected. Knowledge in designing analytical solutions using AWS cognitive services like Textract, Comprehend, Rekognition, and Sagemaker is advantageous. You should also have experience with modern development workflows like git, continuous integration/continuous deployment pipelines, static code analysis tooling, and infrastructure-as-code. Proficiency in a programming or scripting language like Python, Java, or Scala is required. Possessing an AWS Professional/Specialty certification or relevant cloud expertise is a plus. In this role, you will be responsible for driving innovation within the Data Engineering domain by designing reusable and reliable accelerators, blueprints, and libraries. You should be capable of leading a technology team, fostering an innovative mindset, and enabling fast-paced deliveries. Adapting to new technologies, learning quickly, and managing high ambiguity are essential skills for this position. You will collaborate with business stakeholders, participate in various architectural, design, and status calls, and showcase good presentation skills when interacting with executives, IT Management, and developers. Furthermore, you will drive technology/software sales or pre-sales consulting discussions, ensure end-to-end ownership of tasks, and maintain high-quality software development with complete documentation and traceability. Fulfilling organizational responsibilities, sharing knowledge and experience with other teams/groups, conducting technical training sessions, and producing whitepapers, case studies, and blogs are also part of this role. The ideal candidate for this position should have 10 to 18 years of experience and be able to reference the job with the number 12895.,

As a Senior Big Data Engineer specializing in AWS and Scala, you will be responsible for designing, architecting, and implementing scalable data engineering solutions. Your role will involve building and optimizing Big Data architectures using AWS services for large-scale data processing, developing data pipelines with Spark (Scala), and operationalizing data engineering and analytics platforms. You will work on real-time streaming solutions using Kafka and AWS Kinesis, support ML model operationalization on AWS, and ensure high-quality, reliable data delivery for business needs by analyzing data flows and writing efficient SQL queries. Collaboration with cross-functional teams is essential to provide technical leadership, mentor team members, and enhance data engineering capabilities. Troubleshooting and resolving technical issues to ensure scalability, performance, and security of data solutions is also a key part of the role. The ideal candidate for this position should have 5+ years of hands-on experience in Big Data Technologies, specifically AWS, Scala, Hadoop, and Spark. Proven expertise in Spark with Scala is mandatory, along with practical experience in various AWS services such as EMR, Glue, Lambda, S3, CloudFormation, API Gateway, Athena, and Lake Formation. If you meet the mandatory skills and qualifications and are eager to contribute to a dynamic team environment, we encourage you to share your resume with us at Aarushi.Shukla@coforge.com.,

The ideal candidate for this position should have 8-12 years of experience and possess a strong understanding and hands-on experience with Microsoft Fabric. You will be responsible for designing and implementing end-to-end data solutions on Microsoft Azure, which includes data lakes, data warehouses, and ETL/ELT processes. Your role will involve developing scalable and efficient data architectures to support large-scale data processing and analytics workloads. Ensuring high performance, security, and compliance within Azure data solutions will be a key aspect of this role. You should have knowledge of various techniques such as lakehouse and warehouse, along with experience in implementing them. Additionally, you will be required to evaluate and select appropriate Azure services like Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks, Unity Catalog, and Azure Data Factory. Deep knowledge and hands-on experience with these Azure Data Services are essential. Collaborating closely with business and technical teams to understand and translate data needs into robust and scalable data architecture solutions will be part of your responsibilities. You should also have experience in data governance, data privacy, and compliance requirements. Excellent communication and interpersonal skills are necessary for effective collaboration with cross-functional teams. In this role, you will provide expertise and leadership to the development team implementing data engineering solutions. Working with Data Scientists, Analysts, and other stakeholders to ensure data architectures align with business goals and data analysis requirements is crucial. Optimizing cloud-based data infrastructure for performance, cost-effectiveness, and scalability will be another key responsibility. Experience in programming languages like SQL, Python, and Scala is required. Hands-on experience with MS SQL Server, Oracle, or similar RDBMS platforms is preferred. Familiarity with Azure DevOps and CI/CD pipeline development is beneficial. An in-depth understanding of database structure principles and distributed data processing of big data batch or streaming pipelines is essential. Knowledge of data visualization tools such as Power BI and Tableau, along with data modeling and strong analytics skills is expected. The candidate should be able to convert OLTP data structures into Star Schema and ideally have DBT experience along with data modeling experience. A problem-solving attitude, self-motivation, attention to detail, and effective task prioritization are essential qualities for this role. At Hitachi, attitude and aptitude are highly valued as collaboration is key. While not all skills are required, experience with Azure SQL Data Warehouse, Azure Data Factory, Azure Data Lake, Azure Analysis Services, Databricks/Spark, Python or Scala, data modeling, Power BI, and database migration are desirable. Designing conceptual, logical, and physical data models using tools like ER Studio and Erwin is a plus.,

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers, and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage, and passion to drive life-changing impact to ZS. At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systemsthe ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Beyond Healthcare Analytics (BHCA) Team is shaping one of the key growth vector areas for ZS, Beyond Healthcare engagement, comprising clients from industries like Quick service restaurants, Technology, Food & Beverage, Hospitality, Travel, Insurance, Consumer Products Goods & other such industries across North America, Europe & South East Asia region. The BHCA India team currently has a presence across New Delhi, Pune, and Bengaluru offices and is continuously expanding further at a great pace. The BHCA India team works with colleagues across clients and geographies to create and deliver real-world pragmatic solutions leveraging AI SaaS products & platforms, Generative AI applications, and other Advanced analytics solutions at scale. What You'll Do: - Build, Refine and Use ML Engineering platforms and components. - Scaling machine learning algorithms to work on massive datasets and strict SLAs. - Build and orchestrate model pipelines including feature engineering, inferencing, and continuous model training. - Implement ML Ops including model KPI measurements, tracking, model drift & model feedback loop. - Collaborate with client-facing teams to understand business context at a high level and contribute to technical requirement gathering. - Implement basic features aligning with technical requirements. - Write production-ready code that is easily testable, understood by other developers, and accounts for edge cases and errors. - Ensure the highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews. - Write unit tests as well as higher-level tests to handle expected edge cases and errors gracefully, as well as happy paths. - Use bug tracking, code review, version control, and other tools to organize and deliver work. - Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues, and dependencies. - Consistently contribute to researching & evaluating the latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts, and creating prototype solutions. What You'll Bring: - A master's or bachelor's degree in Computer Science or related field from a top university. - 4+ years hands-on experience in ML development. - Good understanding of the fundamentals of machine learning. - Strong programming expertise in Python, PySpark/Scala. - Expertise in crafting ML Models for high performance and scalability. - Experience in implementing feature engineering, inferencing pipelines, and real-time model predictions. - Experience in ML Ops to measure and track model performance, experience working with MLFlow. - Experience with Spark or other distributed computing frameworks. - Experience in ML platforms like Sage maker, Kubeflow. - Experience with pipeline orchestration tools such as Airflow. - Experience in deploying models to cloud services like AWS, Azure, GCP, Azure ML. - Expertise in SQL, SQL DB's. - Knowledgeable of core CS concepts such as common data structures and algorithms. - Collaborate well with teams with different backgrounds/expertise/functions. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. Our robust skills development programs, multiple career progression options, internal mobility paths, and collaborative culture empower you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client-facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE.,

As a Data Engineering Specialist at BT, you will play a crucial role in shaping the data landscape for the future. Your responsibilities will include building, designing, and maintaining data platforms to ensure efficiency, scalability, and reliability. You will be tasked with turning complex business needs into data and AI solutions that support Networks data strategy. Your primary tasks will involve data engineering, managing and scaling data pipelines, ensuring data quality and integrity, designing observability solutions, collaborating with data scientists to integrate ML models, and working on data governance. Additionally, you will be driving the adoption of data visualization and supporting data storytelling, staying updated on emerging technologies, and coaching and mentoring junior engineers. To be successful in this role, you should have a strong proficiency in data engineering concepts, tools, and technologies such as AWS, GCP, Hadoop, Spark, Scala, Python, SQL, Kafka, and cloud-native services. Experience in working with large streaming data sets, data governance, data modeling, observability, DevOps, AI, ML, and domain expertise related to BT Networks products will be essential. You are expected to have a proven ability to develop and support data solutions at scale, a drive to push forward engineering standards, experience with DevOps practices, understanding of observability tools and cloud platforms, knowledge of data governance, and stakeholder management. While not mandatory, experience in bringing ML solutions to production and supporting in-life maintenance will be preferred. Joining BT means being part of a purpose-driven organization with a long history of using communication to make a better world. You will have the opportunity to work in a diverse and inclusive environment where personal, simple, and brilliant values are embraced. If you are passionate about making a real difference through digital transformation and are excited about this role, we encourage you to apply even if you do not meet every single requirement listed in the job description. Your unique background and experiences could make you the perfect candidate for this role or other opportunities within our team.,