623 Mapreduce Jobs - Page 6

Location: Offshore (Onsite Delivery Model) Number of Roles: 3 Experience: 5–8 years Start Date: Immediate or within 15 days Employment Type: Contract / Full-time (as applicable) Job Overview We are seeking highly skilled GIS Data Engineers with strong expertise in Python , PySpark , and geospatial data processing to support the integration and analysis of spatial datasets. The selected candidates will work on large-scale data engineering projects in a distributed environment, focusing on building pipelines and workflows that support geospatial analytics and visualization. Key Responsibilities Develop and maintain scalable ETL pipelines using PySpark and Python for processing GIS and spatial datasets Work with large geospatial datasets from various sources (e.g., shapefiles, GeoJSON, raster formats, satellite data) Integrate geospatial data with enterprise systems (e.g., PostgreSQL/PostGIS, Big Data platforms) Optimize queries and data transformations for performance and accuracy Collaborate with data scientists, GIS analysts, and business users to deliver data solutions Implement best practices for data quality, versioning, and lineage in spatial data pipelines Troubleshoot data issues and support production data workflows Required Skills Strong hands-on experience with PySpark (Apache Spark with Python) Advanced Python programming skills, especially in data handling and automation Experience with geospatial libraries such as GeoPandas, Shapely, Fiona, Rasterio, or GDAL Proficient in working with GIS formats (shapefiles, raster data, GeoTIFFs, KML, etc.) Knowledge of spatial databases like PostGIS or GeoServer Hands-on experience with data lakes, big data processing, and cloud platforms (Azure/AWS/GCP – preferred) Strong understanding of data structures, algorithms, and spatial indexing Nice To Have Familiarity with MapReduce, Hive, or Databricks Prior experience in geospatial analytics, remote sensing, or urban planning domains Knowledge of DevOps, CI/CD pipelines, and containerization tools (Docker, Kubernetes) Soft Skills Excellent communication and collaboration abilities Problem-solving mindset and attention to detail Ability to work independently in a client-facing onsite role Skills: postgis,rasterio,azure,gcp,shapely,fiona,big data platforms,pyspark,gis,geopandas,gdal,aws,python

Category Engineering Experience Manager Primary Address Bangalore, Karnataka Overview 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). 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.

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).

As an Associate Product Support Engineer focused on Hadoop distributed systems, you will be responsible for providing technical support to enterprise clients. Your main tasks will involve troubleshooting and resolving issues within Hadoop environments, ensuring the stability and reliability of our customers" infrastructures. Working closely with experienced engineers, you will collaborate with customers to understand their problems and deliver effective solutions with empathy and professionalism. Your key responsibilities will include addressing customer issues related to Hadoop clusters, core components (HDFS, YARN, MapReduce, Hive, etc.), and performing basic administrative tasks such as installation, configuration, and upgrades. You will document troubleshooting steps and solutions for knowledge sharing purposes. To excel in this role, you should have a minimum of 3 years of hands-on experience as a Hadoop Administrator or in a similar support role. A strong understanding of Hadoop architecture and core components, along with proven experience in troubleshooting Hadoop-related issues, is essential. Proficiency in Linux operating systems, good communication skills, and excellent problem-solving abilities are also required. Experience with components like Spark, NiFi, and HBase, as well as exposure to data security and data engineering principles within Hadoop environments, will be advantageous. Furthermore, prior experience in a customer-facing technical support role and familiarity with tools like Salesforce & Jira are considered beneficial. Knowledge of automation and scripting languages like Python and Bash is a plus. This role offers an opportunity for candidates passionate about Hadoop administration and customer support to deepen their expertise in a focused, high-impact environment.,

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Gurugram, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. 3 years of experience in building data and Artificial Intelligence (AI) solutions and working with technical customers. Experience in designing cloud enterprise solutions and supporting customer projects to completion. Preferred qualifications: Experience in working with Large Language Models, data pipelines, and with data analytics, data visualization techniques. Experience with Data Extract, Transform, and Load (ETL) techniques. Experience in Large Language Models (LLMs) to deploy multimodal solutions involving Text, Image, Video and Voice. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform and investigative tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume). Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks. Excellent communication skills. About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. In this role, you will play a role in ensuring that customers have the quality experience moving to the Google Cloud Generative AI (GenAI) and Agentic AI suite of products. You will design and implement solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with Generative AI (GenAI), and deliver workshops designed to educate and empower customers to realize the potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product issues, and address customer and partner needs. You will lead the execution of adopting the Google Cloud Platform solutions to the customer.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Deliver big data and GenAI solutions and solve technical customer tests. Act as a trusted technical advisor to Google’s customers. Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform. Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Gurugram, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. 3 years of experience in building data and Artificial Intelligence (AI) solutions and working with technical customers. Experience in designing cloud enterprise solutions and supporting customer projects to completion. Preferred qualifications: Experience in working with Large Language Models, data pipelines, and with data analytics, data visualization techniques. Experience with Data Extract, Transform, and Load (ETL) techniques. Experience in Large Language Models (LLMs) to deploy multimodal solutions involving Text, Image, Video and Voice. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform and investigative tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume). Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks. Excellent communication skills. About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. In this role, you will play a role in ensuring that customers have the quality experience moving to the Google Cloud Generative AI (GenAI) and Agentic AI suite of products. You will design and implement solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with Generative AI (GenAI), and deliver workshops designed to educate and empower customers to realize the potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product issues, and address customer and partner needs. You will lead the execution of adopting the Google Cloud Platform solutions to the customer.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Deliver big data and GenAI solutions and solve technical customer tests. Act as a trusted technical advisor to Google’s customers. Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform. Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Gurugram, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. 3 years of experience in building data and Artificial Intelligence (AI) solutions and working with technical customers. Experience in designing cloud enterprise solutions and supporting customer projects to completion. Preferred qualifications: Experience in working with Large Language Models, data pipelines, and with data analytics, data visualization techniques. Experience with Data Extract, Transform, and Load (ETL) techniques. Experience in Large Language Models (LLMs) to deploy multimodal solutions involving Text, Image, Video and Voice. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform and investigative tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume). Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks. Excellent communication skills. About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. In this role, you will play a role in ensuring that customers have the quality experience moving to the Google Cloud Generative AI (GenAI) and Agentic AI suite of products. You will design and implement solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with Generative AI (GenAI), and deliver workshops designed to educate and empower customers to realize the potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product issues, and address customer and partner needs. You will lead the execution of adopting the Google Cloud Platform solutions to the customer.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Deliver big data and GenAI solutions and solve technical customer tests. Act as a trusted technical advisor to Google’s customers. Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform. Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Where Data Does More. Join the Snowflake team. We are looking for a Solutions Architect to be part of our Professional Services team to deploy cloud products and services for our customers' Global Competency Centers located in India. This person must be a hands-on, self-starter who loves solving innovative problems in a fast-paced, agile environment. The ideal candidate will have the insight to connect a specific business problem and Snowflake’s solution and communicate that connection and vision to various technical and executive audiences. This person will have a broad range of skills and experience ranging from data architecture to ETL, security, performance analysis, analytics, etc. He/she will have the insight to make the connection between a customer’s specific business problems and Snowflake’s solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation. The person we’re looking for shares our passion for reinventing the data platform and thrives in a dynamic environment. That means having the flexibility and willingness to jump in and get it done to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving data and analytics technologies, and working collaboratively with a broad range of people inside and outside the company to be an authoritative resource for Snowflake and its customers. AS A SOLUTIONS ARCHITECT AT SNOWFLAKE YOU WILL: Be a technical expert on all aspects of Snowflake Present Snowflake technology and vision to executives and technical contributors to customers. Position yourself as a Trusted Advisor to key customer stakeholders with a focus on achieving their desired Business Outcomes. Drive project teams towards common goals of accelerating the adoption of Snowflake solutions. Demonstrate and communicate the value of Snowflake technology throughout the engagement, from demo to proof of concept to running workshops, design sessions and implementation with customers and stakeholders. Create repeatable processes and documentation as a result of customer engagement. Collaborate on and create Industry based solutions that are relevant to other customers in order to drive more value out of Snowflake. Deploy Snowflake following best practices, including ensuring knowledge transfer so that customers are correctly enabled and can extend the capabilities of Snowflake on their own. Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them. Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments Be able to position and sell the value of Snowflake professional services for ongoing delivery OUR IDEAL SOLUTIONS ARCHITECT WILL HAVE: Minimum 10 years of experience working with customers in a pre-sales or post-sales technical role University degree in computer science, engineering, mathematics or related fields, or equivalent experience Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools Strong skills in databases, data warehouses, and data processing Extensive hands-on expertise with SQL and SQL analytics Proficiency in implementing data security measures, access controls, and design within the Snowflake platform. Extensive knowledge of and experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, etc.) Software development experience with Python, Java , Spark and other Scripting languages Internal and/or external consulting experience. Deep collaboration with Account Executives and Sales Engineers on account strategy. BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING: 1+ years of practical Snowflake experience Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase) Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Looker, Tableau, PowerBI) OLAP Data modeling and data architecture experience Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, GCP, etc.) Experience using AWS services such as S3, Kinesis, Elastic MapReduce, Data pipeline Experience delivering data migration projects Expertise in a core vertical such as Financial Services, Retail, Media & Entertainment, Healthcare, Life-Sciences etc. Hands-on experience with Python, Java or Scala. WHY JOIN OUR PROFESSIONAL SERVICES TEAM AT SNOWFLAKE: Unique opportunity to work on a truly disruptive software product Get unique, hands-on experience with bleeding edge data warehouse technology Develop, lead and execute an industry-changing initiative Learn from the best! Join a dedicated, experienced team of professionals. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

About Company Founded in 2011, ReNew, is one of the largest renewable energy companies globally, with a leadership position in India. Listed on Nasdaq under the ticker RNW, ReNew develops, builds, owns, and operates utility-scale wind energy projects, utility-scale solar energy projects, utility-scale firm power projects, and distributed solar energy projects. In addition to being a major independent power producer in India, ReNew is evolving to become an end-to-end decarbonization partner providing solutions in a just and inclusive manner in the areas of clean energy, green hydrogen, value-added energy offerings through digitalisation, storage, and carbon markets that increasingly are integral to addressing climate change. With a total capacity of more than 13.4 GW (including projects in pipeline), ReNew’s solar and wind energy projects are spread across 150+ sites, with a presence spanning 18 states in India, contributing to 1.9 % of India’s power capacity. Consequently, this has helped to avoid 0.5% of India’s total carbon emissions and 1.1% India’s total power sector emissions. In the over 10 years of its operation, ReNew has generated almost 1.3 lakh jobs, directly and indirectly. ReNew has achieved market leadership in the Indian renewable energy industry against the backdrop of the Government of India’s policies to promote growth of this sector. ReNew’s current group of stockholders contains several marquee investors including CPP Investments, Abu Dhabi Investment Authority, Goldman Sachs, GEF SACEF and JERA. Its mission is to play a pivotal role in meeting India’s growing energy needs in an efficient, sustainable, and socially responsible manner. ReNew stands committed to providing clean, safe, affordable, and sustainable energy for all and has been at the forefront of leading climate action in India. Job Description Key responsibilities: 1. Understand, implement, and automate ETL pipelines with better industry standards 2. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, design infrastructure for greater scalability, etc 3. Developing, integrating, testing, and maintaining existing and new applications 4. Design, and create data pipelines (data lake / data warehouses) for real world energy analytical solutions 5. Expert-level proficiency in Python (preferred) for automating everyday tasks 6. Strong understanding and experience in distributed computing frameworks, particularly Spark, Spark-SQL, Kafka, Spark Streaming, Hive, Azure Databricks etc 7. Limited experience in using other leading cloud platforms preferably Azure. 8. Hands on experience on Azure data factory, logic app, Analysis service, Azure blob storage etc. 9. Ability to work in a team in an agile setting, familiarity with JIRA and clear understanding of how Git works 10. Must have 5-7 years of experience

Experience with ETL processes and data warehousing Proficient in SQL and Python/Java/Scala Team Lead Experience

Role: AWS Data Engineer Location: Gurugram Mode: Hybrid Type: Permanent Job Description: We are seeking a talented and motivated Data Engineer with requisite years of hands-on experience to join our growing data team. The ideal candidate will have experience working with large datasets, building data pipelines, and utilizing AWS public cloud services to support the design, development, and maintenance of scalable data architectures. This is an excellent opportunity for individuals who are passionate about data engineering and cloud technologies and want to make an impact in a dynamic and innovative environment. Key Responsibilities: Data Pipeline Development: Design, develop, and optimize end-to-end data pipelines for extracting, transforming, and loading (ETL) large volumes of data from diverse sources into data warehouses or lakes. Cloud Infrastructure Management: Implement and manage data processing and storage solutions in AWS (Amazon Web Services) using services like S3, Redshift, Lambda, Glue, Kinesis, and others. Data Modeling: Collaborate with data scientists, analysts, and business stakeholders to define data requirements and design optimal data models for reporting and analysis. Performance Tuning & Optimization: Identify bottlenecks and optimize query performance, pipeline processes, and cloud resources to ensure cost-effective and scalable data workflows. Automation & Scripting: Develop automated data workflows and scripts to improve operational efficiency using Python, SQL, or other scripting languages. Collaboration & Documentation: Work closely with data analysts, data scientists, and other engineering teams to ensure data availability, integrity, and quality. Document processes, architectures, and solutions clearly. Data Quality & Governance: Ensure the accuracy, consistency, and completeness of data. Implement and maintain data governance policies to ensure compliance and security standards are met. Troubleshooting & Support: Provide ongoing support for data pipelines and troubleshoot issues related to data integration, performance, and system reliability. Qualifications: Essential Skills: Experience: 8+ years of professional experience as a Data Engineer, with a strong background in building and optimizing data pipelines and working with large-scale datasets. AWS Experience: Hands-on experience with AWS cloud services, particularly S3, Lambda, Glue, Redshift, RDS, and EC2. ETL Processes: Strong understanding of ETL concepts, tools, and frameworks. Experience with data integration, cleansing, and transformation. Programming Languages: Proficiency in Python, SQL, and other scripting languages (e.g., Bash, Scala, Java). Data Warehousing: Experience with relational and non-relational databases, including data warehousing solutions like AWS Redshift, Snowflake, or similar platforms. Data Modeling: Experience in designing data models, schema design, and data architecture for analytical systems. Version Control & CI/CD: Familiarity with version control tools (e.g., Git) and CI/CD pipelines. Problem-Solving: Strong troubleshooting skills, with an ability to optimize performance and resolve technical issues across the data pipeline. Desirable Skills: Big Data Technologies: Experience with Hadoop, Spark, or other big data technologies. Containerization & Orchestration: Knowledge of Docker, Kubernetes, or similar containerization/orchestration technologies. Data Security: Experience implementing security best practices in the cloud and managing data privacy requirements. Data Streaming: Familiarity with data streaming technologies such as AWS Kinesis or Apache Kafka. Business Intelligence Tools: Experience with BI tools (Tableau, Quicksight) for visualization and reporting. Agile Methodology: Familiarity with Agile development practices and tools (Jira, Trello, etc.) Job Type: Permanent Pay: ₹3,000,000.00 - ₹3,800,000.00 per year Benefits: Work from home Schedule: Day shift Monday to Friday Experience: AWS Glue Catalog : 4 years (Required) Data Engineering: 5 years (Required) AWS CDK, Cloud-formation, Lambda, Step-function : 5 years (Required) AWS Elastic MapReduce (EMR) : 4 years (Required) Work Location: In person

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting - Data and Analytics – Senior – AWS EY's Consulting Services is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EY’s financial services practice provides integrated Consulting services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY’s Consulting Practice, Data and Analytics team solves big, complex issues and capitalize on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future. This way we help create a compelling business case for embedding the right analytical practice at the heart of client’s decision-making. The opportunity We’re looking for Senior – Cloud Experts with design experience in Bigdata cloud implementations. Your Key Responsibilities AWS Experience with Kafka, Flume and AWS tool stack such as Redshift and Kinesis are preferred. Experience building on AWS using S3, EC2, Redshift, Glue,EMR, DynamoDB, Lambda, QuickSight, etc. Experience in Pyspark/Spark / Scala Experience using software version control tools (Git, Jenkins, Apache Subversion) AWS certifications or other related professional technical certifications Experience with cloud or on-premise middleware and other enterprise integration technologies Experience in writing MapReduce and/or Spark jobs Demonstrated strength in architecting data warehouse solutions and integrating technical components Good analytical skills with excellent knowledge of SQL. 4+ years of work experience with very large data warehousing environment Excellent communication skills, both written and verbal 7+ years of experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools. 4+ years of experience data modelling concepts 3+ years of Python and/or Java development experience 3+ years’ experience in Big Data stack environments (EMR, Hadoop, MapReduce, Hive) Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution. Excellent communicator (written and verbal formal and informal). Ability to multi-task under pressure and work independently with minimal supervision. Strong verbal and written communication skills. Must be a team player and enjoy working in a cooperative and collaborative team environment. Adaptable to new technologies and standards. Skills And Attributes For Success Use an issue-based approach to deliver growth, market and portfolio strategy engagements for corporates Strong communication, presentation and team building skills and experience in producing high quality reports, papers, and presentations. Experience in executing and managing research and analysis of companies and markets, preferably from a commercial due diligence standpoint. Exposure to tools like Tableau, Alteryx etc. To qualify for the role, you must have BE/BTech/MCA/MBA Minimum 4+ years hand-on experience in one or more key areas. Minimum 7+ years industry experience What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY Consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

As a Data Engineer , you are required to: Design, build, and maintain data pipelines that efficiently process and transport data from various sources to storage systems or processing environments while ensuring data integrity, consistency, and accuracy across the entire data pipeline. Integrate data from different systems, often involving data cleaning, transformation (ETL), and validation. Design the structure of databases and data storage systems, including the design of schemas, tables, and relationships between datasets to enable efficient querying. Work closely with data scientists, analysts, and other stakeholders to understand their data needs and ensure that the data is structured in a way that makes it accessible and usable. Stay up-to-date with the latest trends and technologies in the data engineering space, such as new data storage solutions, processing frameworks, and cloud technologies. Evaluate and implement new tools to improve data engineering processes. Qualification : Bachelor's or Master's in Computer Science & Engineering, or equivalent. Professional Degree in Data Science, Engineering is desirable. Experience level : At least 3 - 5 years hands-on experience in Data Engineering Desired Knowledge & Experience : Spark: Spark 3.x, RDD/DataFrames/SQL, Batch/Structured Streaming Knowing Spark internals: Catalyst/Tungsten/Photon Databricks: Workflows, SQL Warehouses/Endpoints, DLT, Pipelines, Unity, Autoloader IDE: IntelliJ/Pycharm, Git, Azure Devops, Github Copilot Test: pytest, Great Expectations CI/CD Yaml Azure Pipelines, Continuous Delivery, Acceptance Testing Big Data Design: Lakehouse/Medallion Architecture, Parquet/Delta, Partitioning, Distribution, Data Skew, Compaction Languages: Python/Functional Programming (FP) SQL: TSQL/Spark SQL/HiveQL Storage: Data Lake and Big Data Storage Design additionally it is helpful to know basics of: Data Pipelines: ADF/Synapse Pipelines/Oozie/Airflow Languages: Scala, Java NoSQL: Cosmos, Mongo, Cassandra Cubes: SSAS (ROLAP, HOLAP, MOLAP), AAS, Tabular Model SQL Server: TSQL, Stored Procedures Hadoop: HDInsight/MapReduce/HDFS/YARN/Oozie/Hive/HBase/Ambari/Ranger/Atlas/Kafka Data Catalog: Azure Purview, Apache Atlas, Informatica Required Soft skills & Other Capabilities : Great attention to detail and good analytical abilities. Good planning and organizational skills Collaborative approach to sharing ideas and finding solutions Ability to work independently and also in a global team environment.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting - Data and Analytics – Senior – AWS EY's Consulting Services is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EY’s financial services practice provides integrated Consulting services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY’s Consulting Practice, Data and Analytics team solves big, complex issues and capitalize on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future. This way we help create a compelling business case for embedding the right analytical practice at the heart of client’s decision-making. The opportunity We’re looking for Senior – Cloud Experts with design experience in Bigdata cloud implementations. Your Key Responsibilities AWS Experience with Kafka, Flume and AWS tool stack such as Redshift and Kinesis are preferred. Experience building on AWS using S3, EC2, Redshift, Glue,EMR, DynamoDB, Lambda, QuickSight, etc. Experience in Pyspark/Spark / Scala Experience using software version control tools (Git, Jenkins, Apache Subversion) AWS certifications or other related professional technical certifications Experience with cloud or on-premise middleware and other enterprise integration technologies Experience in writing MapReduce and/or Spark jobs Demonstrated strength in architecting data warehouse solutions and integrating technical components Good analytical skills with excellent knowledge of SQL. 4+ years of work experience with very large data warehousing environment Excellent communication skills, both written and verbal 7+ years of experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools. 4+ years of experience data modelling concepts 3+ years of Python and/or Java development experience 3+ years’ experience in Big Data stack environments (EMR, Hadoop, MapReduce, Hive) Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution. Excellent communicator (written and verbal formal and informal). Ability to multi-task under pressure and work independently with minimal supervision. Strong verbal and written communication skills. Must be a team player and enjoy working in a cooperative and collaborative team environment. Adaptable to new technologies and standards. Skills And Attributes For Success Use an issue-based approach to deliver growth, market and portfolio strategy engagements for corporates Strong communication, presentation and team building skills and experience in producing high quality reports, papers, and presentations. Experience in executing and managing research and analysis of companies and markets, preferably from a commercial due diligence standpoint. Exposure to tools like Tableau, Alteryx etc. To qualify for the role, you must have BE/BTech/MCA/MBA Minimum 4+ years hand-on experience in one or more key areas. Minimum 7+ years industry experience What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY Consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting - Data and Analytics – Senior – AWS EY's Consulting Services is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EY’s financial services practice provides integrated Consulting services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY’s Consulting Practice, Data and Analytics team solves big, complex issues and capitalize on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future. This way we help create a compelling business case for embedding the right analytical practice at the heart of client’s decision-making. The opportunity We’re looking for Senior – Cloud Experts with design experience in Bigdata cloud implementations. Your Key Responsibilities AWS Experience with Kafka, Flume and AWS tool stack such as Redshift and Kinesis are preferred. Experience building on AWS using S3, EC2, Redshift, Glue,EMR, DynamoDB, Lambda, QuickSight, etc. Experience in Pyspark/Spark / Scala Experience using software version control tools (Git, Jenkins, Apache Subversion) AWS certifications or other related professional technical certifications Experience with cloud or on-premise middleware and other enterprise integration technologies Experience in writing MapReduce and/or Spark jobs Demonstrated strength in architecting data warehouse solutions and integrating technical components Good analytical skills with excellent knowledge of SQL. 4+ years of work experience with very large data warehousing environment Excellent communication skills, both written and verbal 7+ years of experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools. 4+ years of experience data modelling concepts 3+ years of Python and/or Java development experience 3+ years’ experience in Big Data stack environments (EMR, Hadoop, MapReduce, Hive) Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution. Excellent communicator (written and verbal formal and informal). Ability to multi-task under pressure and work independently with minimal supervision. Strong verbal and written communication skills. Must be a team player and enjoy working in a cooperative and collaborative team environment. Adaptable to new technologies and standards. Skills And Attributes For Success Use an issue-based approach to deliver growth, market and portfolio strategy engagements for corporates Strong communication, presentation and team building skills and experience in producing high quality reports, papers, and presentations. Experience in executing and managing research and analysis of companies and markets, preferably from a commercial due diligence standpoint. Exposure to tools like Tableau, Alteryx etc. To qualify for the role, you must have BE/BTech/MCA/MBA Minimum 4+ years hand-on experience in one or more key areas. Minimum 7+ years industry experience What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY Consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Data Engineer Skills required : Bigdata Workflows (ETL/ELT), Python hands-on, SQL hands-on, Any Cloud (GCP & BigQuery preferred), Airflow (good knowledge on Airflow features, operators, scheduling etc) Skills that would add advantage : DBT, Kafka Experience level : 4 5 years NOTE Candidate will be having the coding test (Python and SQL) in the interview process. This would be done through coders-pad. Panel would set it at run-time.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Gurugram, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. 3 years of experience in building data and Artificial Intelligence (AI) solutions and working with technical customers. Experience in designing cloud enterprise solutions and supporting customer projects to completion. Preferred qualifications: Experience in working with Large Language Models, data pipelines, and with data analytics, data visualization techniques. Experience with Data Extract, Transform, and Load (ETL) techniques. Experience in Large Language Models (LLMs) to deploy multimodal solutions involving Text, Image, Video and Voice. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform and investigative tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume). Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks. Excellent communication skills. About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. In this role, you will play a role in ensuring that customers have the quality experience moving to the Google Cloud Generative AI (GenAI) and Agentic AI suite of products. You will design and implement solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with Generative AI (GenAI), and deliver workshops designed to educate and empower customers to realize the potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product issues, and address customer and partner needs. You will lead the execution of adopting the Google Cloud Platform solutions to the customer.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Deliver big data and GenAI solutions and solve technical customer tests. Act as a trusted technical advisor to Google’s customers. Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform. Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

- 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics The Amazon Selection and Catalog Systems team (ASCS) builds global selection and catalog management systems. The Selection Monitoring team is responsible for building the biggest product selection on the planet to satisfy our customers’ all shopping needs. We build platforms, systems and tools to create and take advantage of datasets that contains billions of records, use the latest machine learning, data processing technologies and a broad set of AWS technologies. In order to drive the expansion of Amazon selection, we use cluster-computing technologies such as MapReduce and Spark to process billions of products and find the products/brands not already sold on Amazon. We work with structured and unstructured content such as text and images and apply Machine Learning algorithms such as Clustering, Natural Language processing, Fuzzy matching and Image processing at a massive scale. We are looking for a Manager, Applied Science to tackle ambiguous problems in the areas of data processing, machine learning algorithms and distributed systems of cloud-scale. You are expected to take ownership, dive deep and drive solutions from developing prototypes, doing experiments, design to coding, testing and deployment. The role demands innovation and expects you to push the boundaries. You will get opportunity to work with many tech teams and business teams within Amazon and deliver solutions that will have an impact to both Amazon top-line & bottom line. Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Gurugram, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. 3 years of experience in building data and Artificial Intelligence (AI) solutions and working with technical customers. Experience in designing cloud enterprise solutions and supporting customer projects to completion. Preferred qualifications: Experience in working with Large Language Models, data pipelines, and with data analytics, data visualization techniques. Experience with Data Extract, Transform, and Load (ETL) techniques. Experience in Large Language Models (LLMs) to deploy multimodal solutions involving Text, Image, Video and Voice. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform and investigative tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume). Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks. Excellent communication skills. About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. In this role, you will play a role in ensuring that customers have the quality experience moving to the Google Cloud Generative AI (GenAI) and Agentic AI suite of products. You will design and implement solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with Generative AI (GenAI), and deliver workshops designed to educate and empower customers to realize the potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product issues, and address customer and partner needs. You will lead the execution of adopting the Google Cloud Platform solutions to the customer.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Deliver big data and GenAI solutions and solve technical customer tests. Act as a trusted technical advisor to Google’s customers. Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform. Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Gurugram, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. 3 years of experience in building data and Artificial Intelligence (AI) solutions and working with technical customers. Experience in designing cloud enterprise solutions and supporting customer projects to completion. Preferred qualifications: Experience in working with Large Language Models, data pipelines, and with data analytics, data visualization techniques. Experience with Data Extract, Transform, and Load (ETL) techniques. Experience in Large Language Models (LLMs) to deploy multimodal solutions involving Text, Image, Video and Voice. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform and investigative tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume). Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks. Excellent communication skills. About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. In this role, you will play a role in ensuring that customers have the quality experience moving to the Google Cloud Generative AI (GenAI) and Agentic AI suite of products. You will design and implement solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with Generative AI (GenAI), and deliver workshops designed to educate and empower customers to realize the potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product issues, and address customer and partner needs. You will lead the execution of adopting the Google Cloud Platform solutions to the customer.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Deliver big data and GenAI solutions and solve technical customer tests. Act as a trusted technical advisor to Google’s customers. Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform. Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Gurugram, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. 3 years of experience in building data and Artificial Intelligence (AI) solutions and working with technical customers. Experience in designing cloud enterprise solutions and supporting customer projects to completion. Preferred qualifications: Experience in working with Large Language Models, data pipelines, and with data analytics, data visualization techniques. Experience with Data Extract, Transform, and Load (ETL) techniques. Experience in Large Language Models (LLMs) to deploy multimodal solutions involving Text, Image, Video and Voice. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform and investigative tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume). Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks. Excellent communication skills. About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. In this role, you will play a role in ensuring that customers have the quality experience moving to the Google Cloud Generative AI (GenAI) and Agentic AI suite of products. You will design and implement solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with Generative AI (GenAI), and deliver workshops designed to educate and empower customers to realize the potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product issues, and address customer and partner needs. You will lead the execution of adopting the Google Cloud Platform solutions to the customer.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Deliver big data and GenAI solutions and solve technical customer tests. Act as a trusted technical advisor to Google’s customers. Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform. Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About The Team And Role The Compliance Engineering team at eBay is focused on prohibited, restricted, and counterfeit compliance detection is dedicated to ensuring that eBay’s marketplace adheres to all relevant regulations and internal policies. The team develops and maintain advanced, AI-driven tools and scalable backend systems that automatically identify and assess items listed on the platform. By applying sophisticated data models, machine learning algorithms, and rules-based engines, they detect products that may be illegal, harmful, non-compliant with trade regulations, or counterfeit. Overall, this Compliance Engineering team plays a crucial role in maintaining trust in eBay’s platform, safeguarding customers, and upholding the company’s dedication to a fair, safe, and legally compliant marketplace. What You Will Accomplish Build large-scale applications, low-latency APIs, data pipelines, and foundational architectures to support eBay’s business operations and customer experiences. Design and implement highly configurable, metadata-driven platforms to enable seamless ingestion of attributes, rules, models, policies, and derived aggregates. Develop machine learning models and Gen AI tools to generate insights and improve customer experiences across eBay. Partner with architects, business leaders, and industry experts to devise strategies and scalable solutions. Be responsible for the entire software lifecycle, including design, development, testing, and experimentation. Mentor and lead junior team members by setting examples and guiding them toward success. What You Will Bring Prefer Technical degree with 3-5+ years of relevant software development experience. Strong hands on Machine Leaning experience, AI/ML/Gen AI, LLM's and proven experience in building and running AI/ML/GenAI models in production environments. Outstanding programming skills in Java, Scala, and Python, with hands-on experience in frameworks like PyTorch and TensorFlow. Proven experience with APIs and Distributed Systems, building and consuming horizontally scalable RESTful APIs, GraphQL, and distributed systems. Hands-on experience with technologies like Spark, Flink, and Kafka with practical experience in their use. Strong understanding of SQL, NoSQL, and sophisticated data modeling techniques. Hands-on experience with the Hadoop ecosystem (HDFS, MapReduce, Hive, Spark) for building and optimizing large-scale data solutions. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

Overall Responsibilities: Data Pipeline Development: Design, develop, and maintain highly scalable and optimized ETL pipelines using PySpark on the Cloudera Data Platform, ensuring data integrity and accuracy. Data Ingestion: Implement and manage data ingestion processes from a variety of sources (e.g., relational databases, APIs, file systems) to the data lake or data warehouse on CDP. Data Transformation and Processing: Use PySpark to process, cleanse, and transform large datasets into meaningful formats that support analytical needs and business requirements. Performance Optimization: Conduct performance tuning of PySpark code and Cloudera components, optimizing resource utilization and reducing runtime of ETL processes. Data Quality and Validation: Implement data quality checks, monitoring, and validation routines to ensure data accuracy and reliability throughout the pipeline. Automation and Orchestration: Automate data workflows using tools like Apache Oozie, Airflow, or similar orchestration tools within the Cloudera ecosystem. Monitoring and Maintenance: Monitor pipeline performance, troubleshoot issues, and perform routine maintenance on the Cloudera Data Platform and associated data processes. Collaboration: Work closely with other data engineers, analysts, product managers, and other stakeholders to understand data requirements and support various data-driven initiatives. Documentation: Maintain thorough documentation of data engineering processes, code, and pipeline configurations. Software Requirements: Advanced proficiency in PySpark, including working with RDDs, DataFrames, and optimization techniques. Strong experience with Cloudera Data Platform (CDP) components, including Cloudera Manager, Hive, Impala, HDFS, and HBase. Knowledge of data warehousing concepts, ETL best practices, and experience with SQL-based tools (e.g., Hive, Impala). Familiarity with Hadoop, Kafka, and other distributed computing tools. Experience with Apache Oozie, Airflow, or similar orchestration frameworks. Strong scripting skills in Linux. Category-wise Technical Skills: PySpark: Advanced proficiency in PySpark, including working with RDDs, DataFrames, and optimization techniques. Cloudera Data Platform: Strong experience with Cloudera Data Platform (CDP) components, including Cloudera Manager, Hive, Impala, HDFS, and HBase. Data Warehousing: Knowledge of data warehousing concepts, ETL best practices, and experience with SQL-based tools (e.g., Hive, Impala). Big Data Technologies: Familiarity with Hadoop, Kafka, and other distributed computing tools. Orchestration and Scheduling: Experience with Apache Oozie, Airflow, or similar orchestration frameworks. Scripting and Automation: Strong scripting skills in Linux. Experience: 5-12 years of experience as a Data Engineer, with a strong focus on PySpark and the Cloudera Data Platform. Proven track record of implementing data engineering best practices. Experience in data ingestion, transformation, and optimization on the Cloudera Data Platform. Day-to-Day Activities: Design, develop, and maintain ETL pipelines using PySpark on CDP. Implement and manage data ingestion processes from various sources. Process, cleanse, and transform large datasets using PySpark. Conduct performance tuning and optimization of ETL processes. Implement data quality checks and validation routines. Automate data workflows using orchestration tools. Monitor pipeline performance and troubleshoot issues. Collaborate with team members to understand data requirements. Maintain documentation of data engineering processes and configurations. Qualifications: Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field. Relevant certifications in PySpark and Cloudera technologies are a plus. Soft Skills: Strong analytical and problem-solving skills. Excellent verbal and written communication abilities. Ability to work independently and collaboratively in a team environment. Attention to detail and commitment to data quality. S YNECHRONS DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicants gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law . Candidate Application Notice

Data Engineer Astreya offers comprehensive IT support and managed services. These services include Data Center and Network Management, Digital Workplace Services (like Service Desk, Audio Visual, and IT Asset Management), as well as Next-Gen Digital Engineering services encompassing Software Engineering, Data Engineering, and cybersecurity solutions. Astreya's expertise lies in creating seamless interactions between people and technology to help organizations achieve operational excellence and growth. Job Description We are seeking experienced Data Engineer to join our analytics division. You will be aligned with our Data Analytics and BI vertical. You will have to conceptualize and own the build out of problem-solving data marts for consumption by data science and BI teams, evaluating design and operational tradeoffs within systems. Design, develop, and maintain robust data pipelines and ETL processes using data platforms for the organization's centralized data warehouse. Create or contribute to frameworks that improve the efficacy of logging data, while working with the Engineering team to triage issues and resolve them. Validate data integrity throughout the collection process, performing data profiling to identify and comprehend data anomalies. Influence product and cross-functional (engineering, data science, operations, strategy) teams to identify data opportunities to drive impact. Requirements Experience & Education Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience. 5 years of experience coding with SQL or one or more programming languages (e.g., Python, Java, R, etc.) for data manipulation, analysis, and automation 5 years of experience designing data pipelines (ETL) and dimensional data modeling for synchronous and asynchronous system integration and implementation. Experience in managing troubleshooting technical issues, and working with Engineering and Sales Services teams. Preferred qualifications: Master’s degree in Engineering, Computer Science, Business, or a related field. Experience with cloud-based services relevant to data engineering, data storage, data processing, data warehousing, real-time streaming, and serverless computing. Experience with experimentation infrastructure, and measurement approaches in a technology platform. Experience with data processing software (e.g., Hadoop, Spark) and algorithms (e.g., MapReduce, Flume).

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting - Data and Analytics – Senior – AWS EY's Consulting Services is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EY’s financial services practice provides integrated Consulting services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY’s Consulting Practice, Data and Analytics team solves big, complex issues and capitalize on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future. This way we help create a compelling business case for embedding the right analytical practice at the heart of client’s decision-making. The opportunity We’re looking for Senior – Cloud Experts with design experience in Bigdata cloud implementations. Your Key Responsibilities AWS Experience with Kafka, Flume and AWS tool stack such as Redshift and Kinesis are preferred. Experience building on AWS using S3, EC2, Redshift, Glue,EMR, DynamoDB, Lambda, QuickSight, etc. Experience in Pyspark/Spark / Scala Experience using software version control tools (Git, Jenkins, Apache Subversion) AWS certifications or other related professional technical certifications Experience with cloud or on-premise middleware and other enterprise integration technologies Experience in writing MapReduce and/or Spark jobs Demonstrated strength in architecting data warehouse solutions and integrating technical components Good analytical skills with excellent knowledge of SQL. 4+ years of work experience with very large data warehousing environment Excellent communication skills, both written and verbal 7+ years of experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools. 4+ years of experience data modelling concepts 3+ years of Python and/or Java development experience 3+ years’ experience in Big Data stack environments (EMR, Hadoop, MapReduce, Hive) Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution. Excellent communicator (written and verbal formal and informal). Ability to multi-task under pressure and work independently with minimal supervision. Strong verbal and written communication skills. Must be a team player and enjoy working in a cooperative and collaborative team environment. Adaptable to new technologies and standards. Skills And Attributes For Success Use an issue-based approach to deliver growth, market and portfolio strategy engagements for corporates Strong communication, presentation and team building skills and experience in producing high quality reports, papers, and presentations. Experience in executing and managing research and analysis of companies and markets, preferably from a commercial due diligence standpoint. Exposure to tools like Tableau, Alteryx etc. To qualify for the role, you must have BE/BTech/MCA/MBA Minimum 4+ years hand-on experience in one or more key areas. Minimum 7+ years industry experience What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY Consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.