5377 Hive Jobs - Page 8

Hello, Greeting from Quess Corp!! Hope you are doing well we have job opportunity with one of our client Designation_ Data Engineer Location – Gurugram Experience – 4yrs to 11 Yrs Qualification – Graduate / PG ( IT) Skill Set – Data Engineer, Python, AWS, SQL Essential capabilities Enthusiasm for technology, keeping up with latest trends Ability to articulate complex technical issues and desired outcomes of system enhancements Proven analytical skills and evidence-based decision making Excellent problem solving, troubleshooting & documentation skills Strong written and verbal communication skills Excellent collaboration and interpersonal skills Strong delivery focus with an active approach to quality and auditability Ability to work under pressure and excel within a fast-paced environment Ability to self-manage tasks Agile software development practices Desired Experience Hands on in SQL and its Big Data variants (Hive-QL, Snowflake ANSI, Redshift SQL) Python and Spark and one or more of its API (PySpark, Spark SQL, Scala), Bash/Shell scripting Experience with Source code control - GitHub, VSTS etc. Knowledge and exposure to Big Data technologies Hadoop stack such as HDFS, Hive, Impala, Spark etc, and cloud Big Data warehouses - RedShift, Snowflake etc. Experience with UNIX command-line tools. Exposure to AWS technologies including EMR, Glue, Athena, Data Pipeline, Lambda, etc Understanding and ability to translate/physicalise Data Models (Star Schema, Data Vault 2.0 etc) Essential Experience It is expected that the role holder will most likely have the following qualifications and experience 4-11 years technical experience (within financial services industry preferred) Technical Domain experience (Subject Matter Expertise in Technology or Tools) Solid experience, knowledge and skills in Data Engineering, BI/software development such as ELT/ETL, data extraction and manipulation in Data Lake/Data Warehouse/Lake House environment. Hands on programming experience in writing Python, SQL, Unix Shell scripts, Pyspark scripts, in a complex enterprise environment Experience in configuration management using Ansible/Jenkins/GIT Hands on cloud-based solution design, configuration and development experience with Azure and AWS Hands on experience of using AWS Services - S3,EC2, EMR, SNS, SQS, Lambda functions, Redshift Hands on experience Of building Data pipelines to ingest, transform on Databricks Delta Lake platform from a range of data sources - Data bases, Flat files, Streaming etc.. Knowledge of Data Modelling techniques and practices used for a Data Warehouse/Data Mart application. Quality engineering development experience (CI/CD – Jenkins, Docker) Experience in Terraform, Kubernetes and Docker Experience with Source Control Tools – Github or BitBucket Exposure to relational Databases - Oracle or MS SQL or DB2 (SQL/PLSQL, Database design, Normalisation, Execution plan analysis, Index creation and maintenance, Stored Procedures) , PostGres/MySQL Skilled in querying data from a range of data sources that store structured and unstructured data Knowledge or understanding of Power BI (Recommended) Key Accountabilities Design, develop, test, deploy, maintain and improve software Develop flowcharts, layouts and documentation to identify requirements & solutions Write well designed & high-quality testable code Produce specifications and determine operational feasibility Integrate software components into fully functional platform Apply pro-actively & perform hands-on design and implementation of best practice CI/CD Coaching & mentoring of other Service Team members Develop/contribute to software verification plans and quality assurance procedures Document and maintain software functionality Troubleshoot, debug and upgrade existing systems, including participating in DR tests Deploy programs and evaluate customer feedback Contribute to team estimation for delivery and expectation management for scope. Comply with industry standards and regulatory requirements

Minimum 12+ years of relevant experience in building software applications in data and analytics field Enhance the go-to-market strategy by designing new and relevant solution frameworks to accelerate our clients journeys for impacting patient outcomes. Pitch for these opportunities and craft winning proposals to grow the Data Science Practice. Build and lead a team of data scientists and analysts, fostering a collaborative and innovative environment. Oversee the design and delivery of the models, ensuring projects are completed on time and meet business objectives. Engaging in consultative selling with clients to grow/deliver business. Develop and operationalize scalable processes to deliver on large & complex client engagements. Extensive hands-on experience with Python, R, or Julia, focusing on data science and generative AI frameworks. Expertise in working with generative models such as GPT, DALL-E, Stable Diffusion, Codex, and MidJourney for various applications. Proficiency in fine-tuning and deploying generative models using libraries like Hugging Face Transformers, Diffusers, or PyTorch Lightning. Strong understanding of generative techniques, including GANs, VAEs, diffusion models, and autoregressive models. Experience in prompt engineering, zero-shot, and few-shot learning for optimizing generative AI outputs across different use cases. Expertise in managing generative AI data pipelines, including preprocessing large-scale multimodal datasets for text, image, or code generation. Location - Gurugram,Bengaluru,Hyderabad,Pune,Noida,India

Senior Data Engineer Apply now Date: 27 Jul 2025 Location: Bangalore, IN Company: kmartaustr A place you can belong: We celebrate the rich diversity of the communities in which we operate and are committed to creating inclusive and safe environments where all our team members can contribute and succeed. We believe that all team members should feel valued, respected, and safe irrespective of your gender, ethnicity, indigeneity, religious beliefs, education, age, disability, family responsibilities, sexual orientation and gender identity and we encourage applications from all candidates. Job Description: 5-7 Yrs of expereience in Data Engineer 3+ yrs in AWS service like IAM, API gateway, EC2,S3 2+yrs expereince in creating and deploying containers on kubernestes 2+yrs expereince with CI-CD pipelines like Jrnkins, Github 2+yrs expereince with snowflake data warehousing, 5-7 yrs with ETL/ELT paradign 5-7 yrs in Big data technologies like Spark, Kafka Strong Expereince skills in Python, Java or scala A place you can belong: We celebrate the rich diversity of the communities in which we operate and are committed to creating inclusive and safe environments where all our team members can contribute and succeed. We believe that all team members should feel valued, respected, and safe irrespective of your gender, ethnicity, indigeneity, religious beliefs, education, age, disability, family responsibilities, sexual orientation and gender identity and we encourage applications from all candidates. Apply now Find similar jobs:

Diverse Lynx is looking for Pyspark Developer to join our dynamic team and embark on a rewarding career journey Designing and developing big data applications using the PySpark framework to meet the needs of the business Writing and optimizing Spark SQL statements to extract and manipulate large datasets Developing and deploying Spark algorithms to perform data processing and analytics tasks, such as machine learning and graph processing Debugging and troubleshooting Spark code to resolve any issues and improve the performance of the applications Collaborating with cross-functional teams, such as data engineers and data analysts, to ensure that the PySpark applications are integrated with other systems Creating and maintaining documentation to ensure that the big data architecture, design, and functionality are well understood by others Should be detail-oriented, have excellent problem-solving and communication skills

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Manager Software Engineer Overview We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. Our Team Within Mastercard – Data & Services The Data & Services team is a key differentiator for Mastercard, providing the cutting-edge services that are used by some of the world's largest organizations to make multi-million dollar decisions and grow their businesses. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. Targeting Analytics Program Within the D&S Technology Team, the Targeting Analytics program is a relatively new program that is comprised of a rich set of products that provide accurate perspectives on Credit Risk, Portfolio Optimization, and Ad Insights. Currently, we are enhancing our customer experience with new user interfaces, moving to API-based data publishing to allow for seamless integration in other Mastercard products and externally, utilizing new data sets and algorithms to further analytic capabilities, and generating scalable big data processes. We are seeking an innovative Lead Software Engineer to lead our team in designing and building a full stack web application and data pipelines. The goal is to deliver custom analytics efficiently, leveraging machine learning and AI solutions. This individual will thrive in a fast-paced, agile environment and partner closely with other areas of the business to build and enhance solutions that drive value for our customers. Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features. The range of work you will encounter varies from building intuitive, responsive UIs to designing backend data models, architecting data flows, and beyond. There are no rigid organizational structures, and each team uses processes that work best for its members and projects. Here are a few examples of products in our space: Portfolio Optimizer (PO) is a solution that leverages Mastercard’s data assets and analytics to allow issuers to identify and increase revenue opportunities within their credit and debit portfolios. Audiences uses anonymized and aggregated transaction insights to offer targeting segments that have high likelihood to make purchases within a category to allow for more effective campaign planning and activation. Credit Risk products are a new suite of APIs and tooling to provide lenders real-time access to KPIs and insights serving thousands of clients to make smarter risk decisions using Mastercard data. Help found a new, fast-growing engineering team! Position Responsibilities As a Lead Software Engineer, you will: Lead the scoping, design and implementation of complex features Lead and push the boundaries of analytics and powerful, scalable applications Design and implement intuitive, responsive UIs that allow issuers to better understand data and analytics Build and maintain analytics and data models to enable performant and scalable products Ensure a high-quality code base by writing and reviewing performant, well-tested code Mentor junior software engineers and teammates Drive innovative improvements to team development processes Partner with Product Managers and Customer Experience Designers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features Collaborate across teams with exceptional peers who are passionate about what they do Ideal Candidate Qualifications 10+ years of engineering experience in an agile production environment. Experience leading the design and implementation of complex features in full-stack applications. Proficiency with object-oriented languages, preferably Java/ Spring. Proficiency with modern front-end frameworks, preferably React with Redux, Typescript. High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop) Fluent in the use of Git, Jenkins. Solid experience with RESTful APIs and JSON/SOAP based API Solid experience with SQL, Multi-threading, Message Queuing. Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases. Desirable Capabilities Hands on experience of cloud native development using microservices. Hands on experience on Kafka, Zookeeper. Knowledge of Security concepts and protocol in enterprise application. Expertise with automated E2E and unit testing frameworks. Knowledge of Splunk or other alerting and monitoring solutions. Core Competencies Strong technologist eager to learn new technologies and frameworks. Experience coaching and mentoring junior teammates. Customer-centric development approach Passion for analytical / quantitative problem solving Ability to identify and implement improvements to team development processes Strong collaboration skills with experience collaborating across many people, roles, and geographies Motivation, creativity, self-direction, and desire to thrive on small project teams Superior academic record with a degree in Computer Science or related technical field Strong written and verbal English communication skills #AI3 Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : AWS Architecture Good to have skills : Python (Programming Language) Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide innovative solutions that enhance data accessibility and usability. AWS Data Architect to lead the design and implementation of scalable, cloud-native data platforms. The ideal candidate will have deep expertise in AWS data services, along with hands-on proficiency in Python and PySpark for building robust data pipelines and processing frameworks. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve data processes to ensure efficiency and effectiveness. - Design and implement enterprise-scale data lake and data warehouse solutions on AWS. - Lead the development of ELT/ETL pipelines using AWS Glue, EMR, Lambda, and Step Functions, with Python and PySpark. - Work closely with data engineers, analysts, and business stakeholders to define data architecture strategy. - Define and enforce data modeling, metadata, security, and governance best practices. - Create reusable architectural patterns and frameworks to streamline future development. - Provide architectural leadership for migrating legacy data systems to AWS. - Optimize performance, cost, and scalability of data processing workflows. Professional & Technical Skills: - Must To Have Skills: Proficiency in AWS Architecture. - Strong understanding of data modeling and database design principles. - Experience with ETL tools and data integration techniques. - Familiarity with data warehousing concepts and technologies. - Knowledge of programming languages such as Python or Java for data processing. - AWS Services: S3, Glue, Athena, Redshift, EMR, Lambda, IAM, Step Functions, CloudFormation or Terraform - Languages: Python ,PySpark .SQL - Big Data: Apache Spark, Hive, Delta Lake - Orchestration & DevOps: Airflow, Jenkins, Git, CI/CD pipelines - Security & Governance: AWS Lake Formation, Glue Catalog, encryption, RBAC - Visualization: Exposure to BI tools like QuickSight, Tableau, or Power BI is a plus Additional Information: - The candidate should have minimum 5 years of experience in AWS Architecture. - This position is based at our Pune office. - A 15 years full time education is required.

As a Blis data engineer, we seek to understand the data and problem definition and find efficient solutions, so critical thinking is a key component to efficient pipelines and effective reuse. This must include defining the pipelines for the correct controls and recovery points, not only the function and scale. Across the team, everyone supports each other through mentoring, brainstorming, and pairing up. They have a passion for delivering products that delight and astound our customers and that have a long-lasting impact on the business. They do this while also optimising themselves and the team for long-lasting agility, which is often synonymous with practicing Good Engineering. They are almost always adherents of Lean Development and work well in environments with significant amounts of freedom and ambitious goals. Responsibilities Design, build, monitor, and support large-scale data processing pipelines. Support, mentor, and pair with other members of the team to advance our team's capabilities and capacity. Help Blis explore and exploit new data streams to innovate and support commercial and technical growth. Work closely with Product and be comfortable with taking, making, and delivering against fast-paced decisions to delight our customers. This ideal candidate will be comfortable with fast feature delivery with a robust engineered follow-up. Requirements 5+ years direct experience delivering robust, performant data pipelines within the constraints of direct SLA's and commercial financial footprints. Proven experience in architecting, developing, and maintaining Apache Druid and Imply platforms, with a focus on DevOps practices and large-scale system re-architecture. Mastery of building Pipelines in GCP, maximising the use of native and native supporting technologies e. g. Apache Airflow. Mastery of Python for data and computational tasks with fluency in data cleansing, validation, and composition techniques. Hands-on implementation and architectural familiarity with all forms of data sourcing i. e streaming data, relational and non-relational databases, and distributed processing technologies (e. g. Spark). Fluency with all appropriate Python libraries typical of data science e. g. pandas, scikit-learn, scipy, numpy, MLlib, and/or other machine learning and statistical libraries. Advanced knowledge of cloud-based services, specifically GCP. Excellent working understanding of server-side Linux. Professional in managing and updating tasks, ensuring appropriate levels of documentation, testing, and assurance around their solutions. Desired Experience optimizing both code and config in Spark, Hive, or similar tools. Practical experience working with relational databases, including advanced operations such as partitioning and indexing. Knowledge and experience with tools like AWS Athena or Google BigQuery to solve data-centric problems. Understanding and ability to innovate, apply, and optimize complex algorithms and statistical techniques to large data structures. Experience with Python Notebooks, such as Jupyter, Zeppelin, or Google Datalab, to analyze, prototype, and visualize data and algorithmic output. This job was posted by Jaina M from Blis.

Role : Data Scientist Experience : 5 years to 8 years Location : Hyderabad, Pune, Bangalore Job Description: Mandatory Skills :Machine Learning, Python Programming Tools Python Pandas NumPy Matplotlib Seaborn Scikit learn SQL complex queries joins CTEs window functions Git Data Analysis Visualization Exploratory Data Analysis EDA trend and correlation analysis hypothesis testing dashboards Power BI Tableau storytelling with data Databases Data Handling SQL Server MySQL basic knowledge of Spark BigQuery Hive is a plus Statistics ML Foundational Descriptive and inferential statistics regression classification clustering KMeans model evaluation metrics accuracy precision recall AUC over fitting under fitting cross validation LLMAI Exposure Familiarity with prompt engineering OpenAI APIs basic usage of GPT models for data text automation awareness of LLM limitations and applications in analytics Soft Skills Strong problem solving ability attention to detail stakeholder communication ability to translate business problems into data solutions Experience Highlights Conducted in depth data analysis to uncover trends patterns and anomalies that informed strategic decisions across product marketing and operations teams Designed and implemented scalable data pipelines and automated data workflows using Python and SQL Developed and maintained analytical models and dashboards to track key business metrics and performance indicators Applied statistical methods and machine learning techniques to solve real world business problems such as forecasting segmentation and performance optimization Collaborated with stakeholders to gather requirements translate business questions into analytical approaches and communicate findings with clarity Explored the use of LLMs eg OpenAI GPT for enhancing internal workflows and accelerating data driven tasks such as querying summarization and content generation

FinBox: Where Fintech Meets Fun! Welcome to FinBox, the buzzing hive of tech innovation and creativity! Since our inception in 2017, FinBox has built some of the most advanced technologies in the financial services space that help lenders like Banks, NBFCs and large enterprises build and launch credit products within a matter of days, not months or years. FinBox is a Series A funded company which is expanding globally with offices in India, Vietnam, Indonesia and Philippines. Our vision is to build the best-in-class infrastructure for lending products and help Banks & Financial Services companies across the world scale and launch credit programs that set a new standard in the era of digital finance. So far, we’ve helped our customers disburse Billions of Dollars in credit across unsecured and secured credit including personal loans, working capital loans, business loans, mortgage and education loans. FinBox solutions are already being used by over 100+ companies to deliver credit to over 5 million customers every month. Why Should You Be a FinBoxer Innovative Environment: At FinBox, we foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what's possible in fintech. Impactful Work: Your contributions will directly impact the lives of millions, helping to provide fair and accessible credit to individuals and businesses alike. Growth Opportunities: We are a Series A funded startup and have ample opportunities for growth, professional development and career advancement. Collaborative Culture: Join a diverse and inclusive team of experts who are passionate about making a difference and supporting one another. Who’s a Great FinBoxer At FinBox, we’re on the lookout for exceptional folks who are all about innovation and impact. If you’re excited to shake things up in the banking & financial services world, keep reading! Creative Thinkers: If your brain is always bubbling with out-of-the-box ideas and wild solutions, you’re our kind of person. We love disruptors who challenge the norm and bring fresh perspectives to the table. Customer Heroes: Our customers are our champions, and we need heroes who can understand their needs, deliver magical experiences, and go above and beyond to keep them happy. Team Players: We believe in the power of “we.” If you thrive in a collaborative environment, value different viewpoints, and enjoy being part of a spirited, supportive team, you’ll fit right in. Roles And Responsibilities Employee Lifecycle Management Onboarding & Offboarding: Managing Pre-boarding, Buddy Program and background verification. Day-1 experience, system provisioning and induction. HRMS Offboarding and Exit Employee Data Management: Maintain and update employee records in HRIS. Digitization and audit-readiness of all employee files (physical + digital). HRIS & Tools Administration: Setup, implementation, and ongoing maintenance of HR platforms (Zoho). Work closely on transition of HRMS Software from Zoho to GreyTHR Admin controls, access rights, role-based permissions. Payroll, Benefits & Compliance Payroll Execution: Create and maintain Monthly payroll sheet and coordination with Finance/Payroll vendor. Ensuring correct inputs on Payroll software post appraisal and new employee onboarding. Handling payroll inputs like LOPs, bonuses, reimbursements, etc. Statutory Compliance: PF, ESI, Gratuity, Professional Tax, etc. Coordination with compliance vendors or internal legal. Benefits Administration: Health insurance (onboarding, claims, renewals). Leaves and attendance policy implementation. Policy Implementation & Governance Maintain and roll out HR policies, handbooks, and SOPs. Ensure compliance with POSH, labour laws, and internal audit standards. Handle internal grievance processes with empathy and rigor in partnership with HRBP. People Operations Support Letters & Documentation: Salary certificates, NOCs, visa letters, role change letters. Employment verification and experience letters. HR Helpdesk & Query Resolution: First point of contact for employee operational queries. Setting up a ticketing tool and SLA-bound resolution process using Jira or likes. Data & Reporting HR Metrics & Dashboards: Headcount, attrition, diversity, tenure, etc. Analytics on joiners, leavers, payroll cost, and leave utilization. Audits & Risk Readiness: Preparing for inspections and due diligence. Ensuring zero non-compliance on documents, policies, and processes. Process Improvement & Automation Identify bottlenecks and manual dependencies. Automate workflows (approval chains, reminders, checklists). Good To Have Exposure of working with scaling teams. Exposure of working with teams split across multiple locations Must Have Attitude of working in a start-up - Prioritization and hustle Bias for action Attitude of working with Collaboration Should have managed a team of atleast 1 person in past

What youll do Following are high level responsibilities that you will play but not limited to: Analyze Business Requirements. Analyze the Data Model and do GAP analysis with Business Requirements and Power BI. Design and Model Power BI schema. Transformation of Data in Power BI/SQL/ETL Tool. Create DAX Formula, Reports, and Dashboards. Able to write DAX formulas. Experience writing SQL Queries and stored procedures. Design effective Power BI solutions based on business requirements. Manage a team of Power BI developers and guide their work. Integrate data from various sources into Power BI for analysis. Optimize performance of reports and dashboards for smooth usage. Collaborate with stakeholders to align Power BI projects with goals. Knowledge of Data Warehousing(must), Data Engineering is a plus What youll bring B. Tech computer science or equivalent Minimum 5+ years of relevant experience Job Category: IT Job Type: Full Time Job Location: Hyderabad

Greetings from LTIMindtree!! About the job Are you looking for a new career challenge? With LTIMindtree, are you ready to embark on a data-driven career? Working for global leading manufacturing client for providing an engaging product experience through best-in-class PIM implementation and building rich, relevant, and trusted product information across channels and digital touchpoints so their end customers can make an informed purchase decision – will surely be a fulfilling experience. Location: Pan India. Key Skill : Hadoop-Spark SparkSQL – Java Interested candidates kindly apply in below link and share updated cv to Hemalatha1@ltimindtree.com https://forms.office.com/r/zQucNTxa2U Skills needed: 1. Hand-on Experience on Java and Big data Technology including Spark. Hive, Impala 2. Experience with Streaming Framework such as Kafka 3. Hands-on Experience with Object Storage. Should be able to develop data Archival and retrieval patters 4. Good to have experience of any Public platform like AWS, Azure, GCP etc. 5. Ready to upskill as and when needed on project technologies viz Abinitio Why join us? Work in industry leading implementations for Tier-1 clients Accelerated career growth and global exposure Collaborative, inclusive work environment rooted in innovation Exposure to best-in-class automation framework Innovation first culture: We embrace automation, AI insights and clean data Know someone who fits this perfectly? Tag them – let’s connect the right talent with right opportunity DM or email to know more Let’s build something great together

Greetings from LTIMindtree!! About the job Are you looking for a new career challenge? With LTIMindtree, are you ready to embark on a data-driven career? Working for global leading manufacturing client for providing an engaging product experience through best-in-class PIM implementation and building rich, relevant, and trusted product information across channels and digital touchpoints so their end customers can make an informed purchase decision – will surely be a fulfilling experience. Location: Pan India. Key Skill : Spark +Python Interested candidates kindly apply in below link and share updated cv to Hemalatha1@ltimindtree.com https://forms.office.com/r/zQucNTxa2U Job Description Key Skill: Hadoop-Spark SparkSQL – Python Mandatory Skills: Relevant Experience in ETL and Data Engineering Strong Knowledge in Spark, Python Strong experience in Hive/SQL, PL/SQL Good Understanding of ETL & DW Concepts, Unix Scripting Design, implement and maintain Dat Pipeline to meet business requirements. Convert the Business need into Technical complex PySpark Code. Ability to write complex SQL queries for reporting purpose. Monitor Pyspark code performance and troubleshoot issues Why join us? Work in industry leading implementations for Tier-1 clients Accelerated career growth and global exposure Collaborative, inclusive work environment rooted in innovation Exposure to best-in-class automation framework Innovation first culture: We embrace automation, AI insights and clean data Know someone who fits this perfectly? Tag them – let’s connect the right talent with right opportunity DM or email to know more Let’s build something great together

About the Role In this opportunity, as Senior Data Engineer, you will: Develop and maintain data solutions using resources such as dbt, Alteryx, and Python. Design and optimize data pipelines, ensuring efficient data flow and processing. Work extensively with databases, SQL, and various data formats including JSON, XML, and CSV. Tune and optimize queries to enhance performance and reliability. Develop high-quality code in SQL, dbt, and Python, adhering to best practices. Understand and implement data automation and API integrations. Leverage AI capabilities to enhance data engineering practices. Understand integration points related to upstream and downstream requirements. Proactively manage tasks and work towards completion against tight deadlines. Analyze existing processes and offer suggestions for improvement. About You Youre a fit for the role of Senior Data Engineer if your background includes: Strong interest and knowledge in data engineering principles and methods. 6+ years of experience developing data solutions or pipelines. 6+ years of hands-on experience with databases and SQL. 2+ years of experience programming in an additional language. 2+ years of experience in query tuning and optimization. Experience working with SQL, JSON, XML, and CSV content. Understanding of data automation and API integration. Familiarity with AI capabilities and their application in data engineering. Ability to adhere to best practices for developing programmatic solutions. Strong problem-solving skills and ability to work independently. #LI-SS6 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

We are looking for a self-motivated individual with appetite to learn new skills and be part of a fast-paced team that is delivering cutting edge solutions that drive new products and features that are critical for our customers. Our senior software engineers are responsible for designing, developing and ensuring the quality, reliability and availability of key systems that provide critical data and algorithms.Responsibilities of this role will include developing new and enhancing existing applications and you will work collaboratively with technical leads and architect to design, develop and test these critical applications. About the role Actively participate in the full life cycle of software delivery, including analysis, design, implementation and testing of new projects and features using Hadoop, Spark/Pyspark, Scala or Java, Hive, SQL, and other open-source tools and design patterns. Python knowledge is a bonus for this role. Working experience with HUDI , Snowflake or similar Must have technologies like Big Data, AWS services like EMR, S3, Lambdas, Elastic, step functions. Actively participate in the development and testing of features for assigned projects with little to no guidance. The position holds opportunities to work under technical experts and also to provide guidance and assistance to less experienced team members or new joiners in the path of the project. Appetite for learning will be key attribute for doing well in the role as the Org is very dynamic and have tremendous scope into various technical landscapes. We consider AI inclusion as a key to excel in this role, we want dynamic candidates who use AI tools as build partners and share experiences to ignite the Org. Proactively share knowledge and best practices on using new and emerging technologies across all of the development and testing groups Create, review and maintain technical documentation of software development and testing artifacts Work collaboratively with others in a team-based environment. Identify and participate in the resolution of issues with the appropriate technical and business resources Generate innovative approaches and solutions to technology challenges Effectively balance and prioritize multiple projects concurrently. About you Bachelors or Masters degree in computer science or a related field 7+ year experience in IT industry Product and Platform development preferred. Strong programming skill with Java or Scala. Must have technologies includes Big Data, AWS. Exposure to services like EMR, S3, Lambdas, Elastic, step functions. Knowledge of Python will be preferred. Experience with Agile methodology, continuous integration and/or Test-Driven Development. Self-motivated with a strong desire for continual learning Take personal responsibility to impact results and deliver on commitments. Effective verbal and written communication skills. Ability to work independently or as part of an agile development team. #LI-SP1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

The Core AI BI & Data Platforms Team has been established to create, operate and run the Enterprise AI, BI and Data that facilitate the time to market for reporting, analytics and data science teams to run experiments, train models and generate insights as well as evolve and run the CoCounsel application and its shared capability of CoCounsel AI Assistant.The Enterprise Data Platform aims to provide self service capabilities for fast and secure ingestion and consumption of data across TR.At Thomson Reuters, we are recruiting a team of motivated Cloud professionals to transform how we build, manage and leverage our data assets. The Data Platform team in Bangalore is seeking an experienced Software Engineer with a passion for engineering cloud-based data platform systems.Join our dynamic team as a Software Engineer and take a pivotal role in shaping the future of our Enterprise Data Platform. You will develop and implement data processing applications and frameworks on cloud-based infrastructure, ensuring the efficiency, scalability, and reliability of our systems. About the Role In this opportunity as the Software Engineer, you will: Develop data processing applications and frameworks on cloud-based infrastructure in partnership withData Analysts and Architects with guidance from Lead Software Engineer. Innovatewithnew approaches to meet data management requirements. Make recommendations about platform adoption, including technology integrations, application servers, libraries, and AWS frameworks, documentation, and usability by stakeholders. Contribute to improving the customer experience. Participate in code reviews to maintain a high-quality codebase Collaborate with cross-functional teams to define, design, and ship new features Work closely with product owners, designers, and other developers to understand requirements and deliver solutions. Effectively communicate and liaise across the data platform & management teams Stay updated on emerging trends and technologies in cloud computing About You You're a fit for the role of Software Engineer, if you meet all or most of these criteria: Bachelor's degree in Computer Science, Engineering, or a related field 3+ years of relevant experience in Implementation of data lake and data management of data technologies for large scale organizations. Experience in building & maintaining data pipelines with excellent run-time characteristics such as low-latency, fault-tolerance and high availability. Proficient in Python programming language. Experience in AWS services and management, including Serverless, Container, Queueing and Monitoring services like Lambda, ECS, API Gateway, RDS, Dynamo DB, Glue, S3, IAM, Step Functions, CloudWatch, SQS, SNS. Good knowledge in Consuming and building APIs Business Intelligence tools like PowerBI Fluency in querying languages such as SQL Solid understanding in Software development practicessuch as version control via Git, CI/CD and Release management Agile development cadence Good critical thinking, communication, documentation, troubleshooting and collaborative skills. #LI-VGA1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

This role involves the development and application of engineering practice and knowledge in the following technologiesStandards and protocols, application software and embedded software for wireless and satellite networks, fixed networks and enterprise networks; connected devices (IOT and device engineering), connected applications (5G/ edge, B2X apps); and Telco Cloud, Automation and Edge Compute platforms. This role also involves the integration of network systems and their operations, related to the above technologies. - Grade Specific Focus on Connectivity and Network Engineering. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

Design, develop, and maintain ETL processes using Pentaho Data Integration (Kettle) . Extract data from various sources including databases, flat files, APIs, and cloud platforms. Transform and cleanse data to meet business and technical requirements. Load data into data warehouses, data lakes, or other target systems. Monitor and optimize ETL performance and troubleshoot issues. Collaborate with data architects, analysts, and business stakeholders to understand data requirements. Ensure data quality, integrity, and security throughout the ETL lifecycle.Document ETL processes, data flows, and technical specifications. - Grade Specific Focus on Industrial Operations Engineering. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

Your role Responsible for conducting and successfully completing the training delivery of program(s) assigned, by applying various training methods / innovation / gamification to accommodate diverse learning styles and preferences Responsible for creation / curation of new programs/ courses/ assessment/artifacts and deliver training, on need basis Collaborate closely with stakeholders from different teams (L&D, CFMG, BU, Vendor) to ensure seamless execution of training programs, with quality outcome Assess training effectiveness, analyse feedback, refine/revamp training materials to align with curriculum signed off by BU SMEs to maximize the learning outcomes and improve learner experience Upskill/upgrade on new & relevant skills aligned to the organization need, get certifications, to further enhance the expertise, stay competitive and grow professionally, while keeping abreast of the skills, fostering culture of continuous learning and development Skills: Oracle SQL/ MS SQL Server DWH & ETL Concepts UNIX Python/Java Big Data Technologies ETL Tool - Informatica Powercenter Reporting Tool Tableau/Power BI Your profile Strategize, implement, and maintain program initiatives that adhere to organizational objectives Training Delivery for I&D Skills Develop program assessment protocols for evaluation and improvement Ensure overall program goal & objectives effectively Work closely with cross-functional teams Apply change, risk and resource management Analyse, evaluate, and overcome program risks, and produce program reports for management and stakeholders Ensuring effective quality outcome and the overall integrity of the program Proactively monitoring progress, resolving issues and initiating appropriate corrective action Project management What you"ll love about working here Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you canbring your original self to work. Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internalsports events, yoga challenges, or marathons. At Capgemini, you can work oncutting-edge projectsin tech and engineering with industry leaders or createsolutionsto overcome societal and environmental challenges.

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets. - Grade Specific The role involves leading and managing a team of data engineers, defining and executing the data engineering strategy, and ensuring the effective delivery of data solutions. They provide technical expertise, drive innovation, and collaborate with stakeholders to deliver high-quality, scalable, and reliable data infrastructure and solutions.

Database Developer Company:Kiya.ai Work Location: Pune Work Mode:Hybrid JD: DataStrong knowledge of and hands-on development experience in Oracle PLSQL - Strong knowledge of and hands-on development *** experience SQL analytic functions*** - Experience with *** developing complex, numerically-intense business logic *** - Good knowledge of & experience in database performance tuning - Fluency in UNIX scripting Good-to-have - Knowledge of/experience in any of python, Hadoop/Hive/Impala, horizontally scalable databases, columnar databases - Oracle certifications - Any of DevOps tools/techniques CICD, Jenkins/GitLab, source control/git, deployment automation such Liquibase - Experience with Productions issues/deployments **Interested candidates drop your resume to saarumathi.r@kiya.ai **

Azure Data Engineer JOB_DESCRIPTION.SHARE.HTML CAROUSEL_PARAGRAPH JOB_DESCRIPTION.SHARE.HTML Pune, India India Enterprise IT - 22756 about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. What you'll do: Create and maintain optimal data pipeline architecture. Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure for scalability. Design, develop and deploy high volume ETL pipelines to manage complex and near-real time data collection. Develop and optimize SQL queries and stored procedures to meet business requirements. Design, implement, and maintain REST APIs for data interaction between systems. Ensure performance, security, and availability of databases. Handle common database procedures such as upgrade, backup, recovery, migration, etc. Collaborate with other team members and stakeholders. Prepare documentations and specifications. What you'll bring: Bachelors degree in computer science, Information Technology, or related field 1+ years of experience SQL, TSQL, Azure Data Factory or Synapse or relevant ETL technology. Prepare documentations and specifications. Strong analytical skills (impact/risk analysis, root cause analysis, etc.) Proven ability to work in a team environment, creating partnerships across multiple levels. Demonstrated drive for results, with appropriate attention to detail and commitment. Hands-on experience with Azure SQL Database Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum Insight, we are at the forefront of modernizing healthcare. We are seeking a visionary Application Architect to own the technical design and strategy for a pivotal component at the heart of Payer solutions business. This is a unique opportunity to modernize and build a mission-critical, event-driven system from the ground up. You will be responsible for designing a highly scalable, resilient, and performant service that processes real-time data streams for millions of members. If you are passionate about building robust distributed systems and want to make a tangible impact in healthcare, this role is for you. Primary Responsibilities: Architectural Ownership: Own and define the end-to-end technical architecture for the Component/Service, ensuring it aligns with our Domain-Driven Design (DDD) and event-driven principles System Design: Design and document data models, API contracts (REST), and event schemas. Create and maintain architectural diagrams including state machines, component diagrams, and sequence diagrams to guide the development team Data-Intensive Application Design: Architect a solution that efficiently consumes, processes, and evaluates high-volume data streams from Apache Kafka, originating from systems like our Common Data Intake service and other domain services Database Strategy: Lead the design and implementation of our database strategy using MongoDB Atlas on Azure. This includes schema design, indexing strategies, and leveraging advanced features like the Aggregation Framework for real-time analytics and Atlas Search for fuzzy matching capabilities Technical Leadership & Mentorship: Guide and mentor a team of talented engineers on best practices for building scalable microservices using Java, Spring Boot, and Kafka. Provide hands-on guidance where needed Cross-Functional Collaboration: Work closely with other architects, product owners, and business stakeholders to translate complex business requirements into a robust, secure, and maintainable technical solution Ensure Non-Functional Requirements: Design for scalability, high availability, data security (HIPAA compliance), and performance. Define SLOs/SLIs and ensure the system is instrumented for effective monitoring and alerting Legacy Integration: Understand the existing data landscape, including data stores like Hive and processing jobs in Spark, to ensure seamless integration and migration paths Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: 11+ years of professional software engineering experience with a focus on building enterprise-scale, backend systems 3+ years in a technical leadership or architect role with a proven track record of designing and delivering complex software projects Expert Database Design Skills: Solid hands-on experience with NoSQL document databases, particularly MongoDB, including schema design and performance tuning Solid foundation in relational databases (SQL) and understanding of when to use each Data Processing Knowledge: Experience working within a modern data ecosystem that includes technologies like Apache Spark and Hive API Design Mastery: Extensive experience designing, developing, and documenting secure, scalable REST APIs Microsoft Azure Knowledge: Experience working with MS Azure to provide cloud services for infrastructure, computing and database Event-Driven Architecture: Proven experience designing and implementing solutions using Apache Kafka for high-throughput, real-time data streaming Deep Expertise in the Java Ecosystem: Mastery of Java and the Spring Boot framework for building RESTful APIs and microservices Preferred Qualifications: Search Engine Experience: Hands-on experience with Elasticsearch or, even better, MongoDB Atlas Search for implementing complex search and fuzzy matching logic Domain-Driven Design (DDD): Practical experience applying DDD principles (Bounded Contexts, Aggregates, Events) to build maintainable and business-aligned software Cloud Platform Expertise: Experience architecting and deploying applications on a major cloud provider, with a solid preference for Microsoft Azure CI/CD & DevOps: Experience working in a mature DevOps environment with CI/CD pipelines (e.g., Jenkins, Azure DevOps), containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform) System Observability: Experience with monitoring and observability stacks such as Prometheus, Grafana, or Dynatrace Healthcare Domain Knowledge: Familiarity with the healthcare industry, particularly related to risk adjustment (HCCs), quality measures (HEDIS), and PHI/HIPAA compliance Experience coordinating and managing distributed teams of varying size and skill set and working with or as part of a matrixed organization Knowledge of Terraform Knowledge of AZURE: Virtual Network (VNet), Subnets, VPN Gateway / ExpressRoute, Azure SQL Database / Azure Database for PostgreSQL/MySQL, Azure Virtual Machines (VMs), Azure Kubernetes Service (AKS) / Azure Container Instances (ACI), Azure Monitor / Log Analytics, Azure Blob Storage, Azure Functions, Azure Event Grid / Azure Notification Hubs, Azure Service Bus / Azure Queue Storage, Azure Data Box / Azure File Sync / SFTP on Azure Blob Storage Knowledge of Programming Languages: Javascript, Java (Spring Boot), Node.js, Angular Solid understanding and experience in delivery software using the agile SAFe framework Proven planning skills and the ability to work with limited supervision Proven solid verbal and written communication skills including presentation skills Proven solid conflict resolution and negotiation skills Proven ability to work well in a matrixed cross-functional environment and a builder of professional relationships At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Req ID: 333035 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Ab-Initio to join our team in hyderabad, Telangana (IN-TG), India (IN). "NTT DATA Services currently seeks Ab-Initio developer to join our team in HyderabadRequired ETL : Spark , AB-Initio, Database : HIVE, Teradata, Oracle OS : UNIX" About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities All About You Experience Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: o Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL o Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning o Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil o Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing o Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: o Confluence (Documentation) o Bitbucket/Stash (Code Sharing) o Shared Folders (File Sharing) o ALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities All About You Experience Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: o Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL o Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning o Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil o Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing o Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: o Confluence (Documentation) o Bitbucket/Stash (Code Sharing) o Shared Folders (File Sharing) o ALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required #AI1 Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.