1373 Teradata Jobs - Page 15

Description: ACCOUNTABILITIES: Designs, codes, tests, debugs and documents software according to Dell s systems quality standards, policies and procedures. Analyzes business needs and creates software solutions. Responsible for preparing design documentation. Prepares test data for unit, string and parallel testing. Evaluates and recommends software and hardware solutions to meet user needs. Resolves customer issues with software solutions and responds to suggestions for improvements and enhancements. Works with business and development teams to clarify requirements to ensure testability. Drafts, revises, and maintains test plans, test cases, and automated test scripts. Executes test procedures according to software requirements specifications Logs defects and makes recommendations to address defects. Retests software corrections to ensure problems are resolved. Documents evolution of testing procedures for future replication. May conduct performance and scalability testing. RESPONSIBILITIES: Leads small to moderate budget projects; may perform in project leadership role and/or may supervise the activities of lower level personnel. Provides resolutions to a diverse range of complex problems. Executes schedules, costs and documentation to ensure assigned projects come to successful conclusion. May assist in training, assigning and checking the work of less experienced developers. Performs estimation efforts on projects and tracks progress. Drafts and revises test plans and scripts with consideration to end-to-end system flows. Executes test scripts according to application requirements documentation. Logs defects, identifies course of action and performs preliminary root cause analysis. Analyzes and communicates test results to project team. Description Comments Additional Details Description Comments : Install, configure, and administer data ingestion and transformation platforms including StreamSets, Apache Spark, Informatica, and Apache NiFi for maximum utilization and throughput. Perform StreamSets Data Collector and Control Hub administration including pipeline deployment, monitoring, and optimization across multiple environments. Experience in designing and implementing real-time and batch data pipelines using Apache Spark with Python (PySpark), with Scala knowledge as an added advantage. Hands-on experience with Apache NiFi for data flow automation, including processor configuration, flow management, and cluster coordination. Experience in upgrading and migrating data ingestion tools and pipelines to higher versions while maintaining data integrity and minimal downtime. Highly proficient in Python programming for data processing, pipeline development, and automation scripting. Expert-level SQL skills for complex data transformations, performance optimization, and database interactions across various RDBMS platforms. Experience with diverse database technologies and data sources: MPP databases: Teradata, Greenplum for large-scale analytical workloads OLTP databases: Oracle, SQL Server, PostgreSQL for transactional processing In-memory databases: SAP HANA, MemSQL for high-performance analytics Big Data platforms: Hive, HBase, and Kudu for distributed data storage and processing Additional data sources including SFDC and modern cloud data platforms Ability to write efficient, scalable code following best practices and coding standards for data engineering projects. Extensive experience with automated testing integration using CI/CD tools, preferably GitLab (Jenkins experience is beneficial). Implement and maintain automated deployment pipelines for data ingestion and transformation workflows. Experience in version control, branching strategies, and collaborative development practices for data engineering projects. Knowledge of infrastructure as code and containerization technologies for deployment automation. Perform data pipeline deployments across versioned repositories from development to production environments. Experience with TLS hardening and security best practices for data platforms and APIs. Proficient in using command-line tools and APIs for platform administration and monitoring. Create, maintain, and restore backup strategies for data pipelines, configurations, and metadata repositories. Expertise in troubleshooting performance bottlenecks in data processing workflows and implementing optimization strategies. Experience in cluster maintenance and distributed system administration for Spark and other big data technologies. Production environment health monitoring, alerting, and incident response for data pipelines. Root cause analysis of pipeline failures with comprehensive documentation of issues and resolutions. Develop and enforce data engineering coding standards and best practices across development teams. Experience with data quality validation, testing frameworks, and automated data validation processes. Knowledge of data governance principles and implementation of data lineage tracking. Scheduling and orchestration of data workflows with proper error handling and retry mechanisms. Not to Exceed Rate : (No Value)

Must have skills: Over 5 years of experience in Data Warehousing, with a strong expertise of ETL development 4-5 years relevant experience in Informatica PowerCenter. Proficiency in Oracle Exadata/Oracle database/Teradata database Advanced SQL scripting skills, capable of writing complex queries for data extraction and transformation Strong background in on-premises technologies, including experience migrating from on-prem to Databricks Databricks product build experience Good understanding of legacy systems Strong data analysis skills At least 2 years of experience in mentoring team members and collaborating on complex Data Warehousing projects Demonstrated experience coaching and guiding junior developers Must be a "hands on" problem solver who enjoys developing ETL code and mentoring less experienced developers Proven ability to understand and translate complex business requirements into efficient technical solutions

JOB DESCRIPTION Must have skills: Minimum of 8 years of hands-on experience in software or data engineering roles Deep understanding of data modelling and data architecture design; must be a well-rounded technical expert Strong expertise in SQL scripting and performance tuning within large-scale data environments Proven experience working with high-volume data systems Demonstrated ability to solve complex problems using Informatica Excellent communication skills with the ability to clearly articulate and explain technical scenarios Experience in building data products or solutions from the ground up Proficient in Python, Shell scripting, and PL/SQL, with a strong focus on automation Must have strong hands-on experience; not seeking candidates focused on team management or leadership

Job Summary Brief summary in 1-2 paragraphs of the job's purpose, primary focus, sets clear expectations for ideal candidates. This individual contributor is primarily responsible for translating business requirements and functional specifications into Informatica Power Center ETL software solutions, leveraging technical direction provided from the USA development team, giving consultation to ensure high-quality code is delivered, and providing technical oversight to junior developers collocated in India, while also mentoring them with ETL techniques and coding methods. The primary IT software component supported by this role is the Kaiser Permanente Membership Data Warehouse (MDW), which contains a very large set of claims data, using Type II dimensional data-change tracking. Essential Responsibilities List primary and specific job duties performed daily in order of importance. Completes work assignments and supports business-specific projects by applying expertise in the Membership subject area. Membership data is made up of Person, Coverage, Price and Benefit data domains. This role will support the development and execution of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating and collaborating among resources to deliver and accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks, as appropriate; and recognizing and capitalizing on improvement opportunities. Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers; building relationships with cross-functional stakeholders; influencing others through technical explanations and examples; adapting to competing demands and new responsibilities within an Agile framework; listening and responding to, seeking, and addressing performance feedback; providing feedback to others and managers; supporting team collaboration; and adapting to and learning from change, difficulties, and feedback. • As part of the IT Engineering job family, this position is responsible for leveraging DEVOPS, Waterfall and Agile practices, to design, develop, and deliver resilient, secure, multichannel, high-volume, high-transaction, on/off-premise, cloud-based solutions. • Provides insight into recommendations for technical solutions that meet design and functional needs. • Translates business requirements and functional specifications into physical program designs, code modules, stable application systems, and software solutions by partnering with Business Analysts and other team members to understand business needs and functional specifications. • Leads systems' incident support and troubleshooting for complex and noncomplex issues. • Supports component integration testing (CIT) and user acceptance testing (UAT) for application initiatives by providing triage, attending test team meetings, keeping the QC up-to-date, performing fixes and unit testing, providing insight to testing teams in order to ensure the appropriate depth of test coverage, and supporting the development of proper documentation. • Builds and maintains trusting relationships with internal customers and third party vendors to ensure the alignment, buy-in, and support of diverse project stakeholders. • Builds partnerships with IT teams and vendors to ensure written code adheres to company architectural standards, design patterns, and technical specifications. • Identifies specific interfaces, methods, parameters, procedures, and functions to support technical solutions while incorporating architectural designs. • Writes, Reviews, Edits, and Validates technical specifications and documentation. • Ensures new and existing software solutions are developed with insight into industry best practices, strategies, and architectures. • Takes responsibility for the accessibility, retrievability, and security of specific subsets of information. Provides advice on the transformation of information from one format/medium to another, where appropriate. Maintains and implements information handling procedures. Enables the availability, integrity, and search ability of information through the application of formal data structures and protection measures. Job Qualifications List of minimum education and minimum years of experience, level of knowledge, skills, abilities, licensures, certifications and other job-related requirements that must be met to be considered for a position. GCC's cannot hire candidate's that do not meet all of the minimum qualifications. Fewer minimum qualifications and more preferred qualifications broadens the applicant pool. Minimum Qualifications -Bachelor's degree in Computer Science, CIS, or a related field. -Minimum five (5) years experience in data software development or a related field. -Excellent Data Analysis skills -Demonstrated high level of SQL Scripting Skill -Data Warehousing expertise and minimum 6 years demonstrated experience working in a Data Warehousing environment -Oracle Exadata and On-Premise Experience experience/proficiency OR Oracle Database OR Teradata Database -Five years experience writing ETL -Informatica PowerCenter experience/proficiency Additional Requirements Licenses and Certifications Preferred Qualifications List of nice-to-have skills that are not required, but are desired qualifications that would compliment the job. These include complex skills, unique knowledge, job experience, added education, certifications, or licenses. Note: If a skill is required, please list it under minimum and basic qualifications. Minimum 2 to 3 years experience in systems analysis, including defining technical requirements and performing high level design for complex solutions. -Cloud Platform Technology proficiency -Databricks Product build experience -Unix Platform experience/proficiency -Linux Platform experience/proficiency -Informatica IICS experience/proficiency -Strong Data Analysis skills -Strong curiosity -Passion for Data

About this role: Wells Fargo is seeking for a candidate who is responsible for overseeing enterprise data governance, quality and integrity initiatives. The candidate should collaborate with the business and technology partners to ensure the data is accurate, consistent, accessible and aligned with business needs. the role combines deep technical skills, strategic thinking, cross functional leadership and hands-on problem solving. In this role, you will: Organize and lead complex companywide initiatives to ensure that data quality is maintained so that data can effectively support business processes Oversee analysis and reporting in support of regulatory requirements Identify and recommend analysis of data quality or integrity issues Evaluate data quality metrics and data quality audits to benchmark the state of data quality Make decisions in complex and multi-faceted situations requiring solid understanding of data governance standards and procedures Identify new data sources and develop recommendations for assessing the quality of new data Lead project teams and mentor less experienced staff members Recommend remediation of process or control gaps that align to management strategy Serve as relationship manager for a line of business Consult with and provide recommendations to senior management regarding assessments of the current state of data and metadata quality within area of assigned responsibility Represent client in cross-functional groups to develop companywide data governance strategies Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to coordinate and drive collaboration on solution design and remediation execution Required Qualifications: 5+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Lead efforts through phases of a large enterprise project; requirements, design, implementation, testing, and end-state product management Lead complex data product initiatives, including those that are cross-functional with broad impact, and act as key participant in large-scale planning driving data enablement and capabilities across platforms and utilities Review and analyze complex multi-faceted, larger scale or longer-term data product initiatives that require in-depth evaluation of multiple factors, including intangibles or unprecedented factors to drive data enablement strategies and roadmaps, while adhering to set data governance and standards Make decisions in complex and multi-faceted situations requiring solid understanding of data, analytics, and integration needs of line of business partners to inform prioritization, roadmap, and architecture design, that influence and lead broader work team to meet deliverables and drive new initiatives Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to ensure data product solutions are built for optimal performance and design analytics applications across multiple platforms, resolve data product issues, and achieve goals; may lead projects, teams or serve as a peer mentor Provide strategic input on new use case intake, prioritization, product roadmap definition, and other critical business processes Manage complex datasets continuously focusing on the consumers of the data and their business needs, while adhering to set data governance Create and maintain data product roadmaps throughout the data product life cycle with detailed specifications, requirements, and flows for data capabilities Design and maintain innovative data products, enabling data availability for data intelligence, analytics, and reporting Serve as a strategic liaison between data management, product teams, data engineering, and architecture teams throughout the data product life cycle Skills: SQL - Teradata, Snowflake Python, Regression & Clustering, Alteryx & LLM Job Expectations: Lead development and implementation of data management strategies across business units. Ensure consistent data definition and usage across systems. Mentor and guide data analysts, enforcing best practices in data handling Collaborate with data engineers and architects to optimize data flow and storage. Oversee processes for data profiling, validation, cleansing and enrichment Identify, investigate and resolve data quality issues through root cause analysis Support data integration efforts and data architecture review

About this role: Wells Fargo is seeking Data Management Analyst. In this role, you will: Participate in less complex analysis to identify and remediate data quality or integrity issues and to identify and remediate process or control gaps Adhere to data governance standards and procedures Identify data quality metrics and execute data quality audits to benchmark the state of data quality Design and monitor data governance, data quality and metadata policies, standards, tools, processes, or procedures to ensure data control and remediation for companywide data management functions Support communications with basic documentation related to requirements, design decisions, issue closure, or remediation updates Support issue remediation by performing medium risk data profiling, data or business analysis, and data mapping as part of root cause or impact analysis Provide support to regulatory analysis and reporting requirements Recommend plans for the development and implementation of initiatives that assess the quality of new data sources Work with business and technology partners or subject matter professionals to document or maintain business or technical metadata about systems, business or data elements, or data-related controls Consult with clients to assess the current state of data quality within area of assigned responsibility Required Qualifications: 2+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Experience in large enterprise data initiatives Manage data entry, cleansing and updating processes across core system. Identify and resolve data inconsistency or quality issues. Banking business or technology experience Experience using standard BI tools (Tableau, Power BI, MicroStrategy, etc) Must have knowledge on T-SQL, database, data warehousing, joins, data analysis, Indexing. Should be aware of ETL concepts, data integration, transformation, data load techniques. BI concepts/solutions, analytical dashboards, different type of reporting. Cloud concepts, cloud infrastructure, cloud centric solutions (data pipelines, Big Query, etc.) Agile principles, Agile ceremonies, Software Development Lifecycle, JIRA, Scrum/Kanban. Skills: SQL - Teradata, Snowflake, Python, Regression & Clustering, Alteryx & LLM Job Expectations: Assist in implementing the data process. Monitor data flows and perform regular audits to maintain data integrity. Ensure consistent data definition and usage across systems. Collaborate with data engineers and architects to optimize data flow and storage. Work with IT and business teams to implement data cleansing and validation rules Identify, investigate and resolve data quality issues through root cause analysis. Define and maintain data dictionaries, metadata and business glossaries.

We are looking forward to hire ETL(Extract, Transform, Load) Professionals in the following areas : Experience 4-4. 5 Years 4 - 4. 5 years of Strong experience on advanced SQL any Database. (Oracle, Teradata, snowflake). Extensive experience in data integration area and hands on experience in any of the ETL tools like DataStage, Informatica, SSIS, Talend, SnapLogic etc. Able to transform technical requirements into data collection query. Should be capable of working with business and other IT teams and convert the requirements into queries. Good understanding of ETL architecture and design. Good knowledge in UNIX commands, Databases, SQL, PL/SQL Good to have a experience on Snaplogic or project experience Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

Shell scripting and Teradata is a Must. Linux Shell/KSH, SQL (BigQuery preferred), DAGs/data pipelines (Airflow/eqv), Teradata scripts (BTEQ, MLOAD, FastExport), strong logical thinking, and hands-on experience with any command-line interface.

Overview: As Data Modelling Assoc Manager, you will be the key technical expert overseeing data modeling and drive a strong vision for how data modelling can proactively create a positive impact on the business. You'll be empowered to create & lead a strong team of data modelers who create data models for deploying in Data Foundation layer and ingesting data from various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As a member of the data modelling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. You will independently be analyzing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, and D&A standards, and best practices. You will be a key technical expert performing all aspects of Data Modelling working closely with Data Governance, Data Engineering and Data Architects teams. You will provide technical guidance to junior members of the team as and when needed. The primary responsibilities of this role are to work with data product owners, data management owners, and data engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse. Responsibilities: Independently complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, Data Bricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies. Governs data design/modeling – documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. Supports assigned project contractors (both on- & off-shore), orienting new contractors to standards, best practices, and tools. Advocates existing Enterprise Data Design standards; assists in establishing and documenting new standards. Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of the changes or new development. Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework. Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse. Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for the proper management: business and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations. Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development. Assist with data planning, sourcing, collection, profiling, and transformation. Create Source To Target Mappings for ETL and BI developers. Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; data streaming (consumption/production), data in-transit. Develop reusable data models based on cloud-centric, code-first approaches to data management and cleansing. Partner with the data science team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders. Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization. Qualifications: 12+ years of overall technology experience that includes at least 6+ years of data modelling and systems architecture. 6+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 6+ years of experience developing enterprise data models. 6+ years in cloud data engineering experience in at least one cloud (Azure, AWS, GCP). 6+ years of experience with building solutions in the retail or in the supply chain space. Expertise in data modelling tools (ER/Studio, Erwin, IDM/ARDM models). Fluent with Azure cloud services. Azure Certification is a plus. Experience scaling and managing a team of 5+ data modelers Experience with integration of multi cloud services with on-premises technologies. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience with at least one MPP database technology such as Redshift, Synapse, Teradata, or Snowflake. Experience with version control systems like GitHub and deployment & CI tools. Experience with Azure Data Factory, Databricks and Azure Machine learning is a plus. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI). Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management. Proven track record of leading, mentoring, hiring and scaling data teams. Strong change manager. Comfortable with change, especially that which arises through company growth. Ability to understand and translate business requirements into data and technical requirements. High degree of organization and ability to manage multiple, competing projects and priorities simultaneously. Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment. Strong leadership, organizational and interpersonal skills; comfortable managing trade-offs. Foster a team culture of accountability, communication, and self-management. Proactively drives impact and engagement while bringing others along. Consistently attain/exceed individual and team goals Ability to lead others without direct authority in a matrixed environment. Differentiating Competencies Required Ability to work with virtual teams (remote work locations); lead team of technical resources (employees and contractors) based in multiple locations across geographies Lead technical discussions, driving clarity of complex issues/requirements to build robust solutions Strong communication skills to meet with business, understand sometimes ambiguous, needs, and translate to clear, aligned requirements Able to work independently with business partners to understand requirements quickly, perform analysis and lead the design review sessions. Highly influential and having the ability to educate challenging stakeholders on the role of data and its purpose in the business. Places the user in the centre of decision making. Teams up and collaborates for speed, agility, and innovation. Experience with and embraces agile methodologies. Strong negotiation and decision-making skill. Experience managing and working with globally distributed teams

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What you'll be doing… A Business Transformation Manager plays a crucial role in leading a team of data analysts / Data scientist and ensuring they effectively collect, analyze, and interpret data to drive business insights and decision-making. They oversee the entire data analysis process, from data acquisition and cleaning to reporting and communicating findings to stakeholders. You will be part of a vibrant and growing team that generates insights and customer experience solutions for the entire Consumer Business Organization. You will work with various business units and functional leaders at the highest levels of the organization to detail current processes, help define new processes and lead transformative projects aimed at achieving the strategic and financial objectives of the business while preparing the business for future. Team Leadership and Management: Providing strategic direction and guidance to the data analyst team, aligning their efforts with overall business objectives. Fostering a collaborative and supportive work environment, motivating and empowering team members to achieve their full potential. Assigning tasks, delegate responsibilities, and track individual and team performance, ensuring timely completion of projects and deliverables. Conducting regular performance evaluations, providing constructive feedback and identifying areas for professional development. Data Analysis and Insights Generation: Possessing a strong understanding of data analysis methodologies, statistical techniques, and data visualization tools. Collecting, cleaning, and organizing large datasets from various sources, ensuring data integrity and accuracy. Applying statistical analysis techniques to extract meaningful patterns, trends, and insights from data. Utilizing data visualisation tools to create clear, concise, and impactful presentations for stakeholders. Business Problem-Solving and Decision Support: Collaborating with business stakeholders to identify and understand their specific data needs and problem areas. Translating business questions into actionable data analysis strategies, designing appropriate research plans and methodologies. Analyzing data to uncover hidden patterns, trends, and insights that inform business decisions and strategies. Communicating data-driven findings and recommendations to stakeholders in a clear, concise, and actionable manner. What we're looking for… You'll need to have: Bachelor's degree with six or more year of work experience Eight or more years of experience as a Data Analyst / Data science or related role. Six or more years of experience on Data Analytics, SQL, analytical queries and analyzing data from data warehouses like GCP / Teradata (eDW).Proven ability to lead and manage a team of data analysts and Data scientists. Strong expertise in data analysis methodologies, statistical techniques, and data visualization tools. Good knowledge and practical implementation of Exploratory data analysis & Descriptive Statistics Excellent analytical, troubleshooting and problem solving skills Good Working knowledge on different marketing channels, call volume reduction, NPS, digital platforms like Desktop, Mobile app etc and assisted sales channels Presentation skills, including ability to create presentations using Google Sheets/MS PowerPoint and experience presenting to all levels of an organization. Even better if you have one or more of the following: Bachelor's degree in a relevant field such as Data Science, Statistics, Computer Science, or Business Analytics. Python proficiency. Design Thinking proficiency. To Build and enhance dashboard using Tableau or Qlikview or similar tools If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

Designation : Senior Data Engineer Experience: 5+ Years Location: Navi Mumbai (JUINAGAR) - WFO Immediate Joiners preferred. Interview : Face - 2 - Face (Only 1 Day Process) Job Description We are looking for an experienced and results-driven Senior Data Engineer to join our Data Engineering team . In this role, you will design, develop, and maintain robust data pipelines and infrastructure that enable efficient data flow across our systems. As a senior contributor, you will also help define best practices, mentor junior team members, and contribute to the long-term vision of our data platform. You will work closely with cross-functional teams to deliver reliable, scalable, and high-performance data systems that support critical business intelligence and analytics initiatives. Required Qualifications: Bachelors degree in Computer Science, Information Systems, or a related field; Masters degree is a plus. 5+ years of experience in data warehousing, ETL development, and data modeling. Strong hands-on experience with one or more databases: Snowflake, Redshift, SQL Server, Oracle, Postgres, Teradata, BigQuery. Proficiency in SQL and scripting languages (e.g., Python, Shell). Deep knowledge of data modeling techniques and ETL frameworks. Excellent communication, analytical thinking, and troubleshooting skills. Preferred Qualifications Experience with modern data stack tools like dbt, Fivetran, Stitch, Looker, Tableau,or PowerBI. Knowledge of data lakes, lakehouses, and real-time data streaming (e.g., Kafka). Agile/Scrum project experience and version control using Git. Sincerely, Sonia TS

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. About EY GDS Global Delivery Services (GDS) is a dynamic and truly global delivery network. Across our six locations, we work with teams from all EY service lines, geographies and sectors, and play a vital role in the delivery of the EY growth strategy. We operate from six countries and sixteen cities: Argentina (Buenos Aires) China (Dalian) India (Bangalore, Chennai, Gurgaon, Hyderabad, Kochi, Kolkata, Mumbai, Noida, Trivandrum) Philippines (Manila) Poland (Warsaw and Wroclaw) UK (Manchester, Liverpool) Careers in EY Global Delivery Services Join a team of over 50,000 people, working across borders, to provide innovative and strategic business solutions to EY member firms around the world. Join one of our dynamic teams From accountants to coders, we offer a wide variety of fulfilling career opportunities that span all business disciplines Our Consulting practice provides differentiated focus on the key business themes to help our clients solve better questions around technology. Our vision is to be recognized as a leading provider of differentiated technology consulting services, harnessing new disruptive technology, alliances and attracting talented people to solve our clients' issues. It's an exciting time to join us and grow your career as a technology professional. A technology career is about far more than leading-edge innovations. It’s about the application of these technologies in the real world to make a real, meaningful impact. We are looking for highly motivated, articulate individuals who have the skills to the technology lifecycle and are passionate about designing innovative solutions to solve complex business problems. Your career in Consulting can span across these technology areas/ services lines: Digital Technologies: We are a globally integrated digital architecture and engineering team. Our mission is to deliver tailored, custom-built end to end solutions to our customers that are Digital, Cloud Native and Open Source. Our skills include Experience design, UI development, Design Thinking, Architecture & Design, Full stack development (.Net/ Java/ SharePoint/ Power Platform), Emerging Technologies like Block Chain, IoT, AR\VR, Drones, Cloud and DevSecOps. We use industrialized techniques, built on top of agile methods utilizing our global teams to deliver end to end solutions at best unit cost proposition. Testing Services: We are the yardstick of quality software product. We break something to make the product stronger and successful. We provide entire gamut of testing services including Busines / User acceptance testing. Hence this is a team with all round skills such as functional, technical and process. Data & Analytics: Data and Analytics is amongst the largest and most versatile practices within EY. Our sector and domain expertise combined with technical skills in data, cloud, advanced analytics and artificial intelligence differentiates us in the industry. Our talented team possesses cross-sector and cross-domain expertise and a wide array of skills in Information Management (IM), Business Intelligence (BI), Advance Analytics (AA) and Artificial Intelligence (AI) Oracle: We provide one-stop solution for end-to-end project implementation enabled by Oracle and IBM Products. We use proven methodologies, tools and accelerators to jumpstart and support large Risk and Finance Transformation. We develop solutions using various languages such as SQL or PL/ SQL, Java, Java Script, Python, IBM Maximo and other Oracle Utilities. We also provide consulting services for streamlining the current reporting process using various Enterprise Performance Management tools. SAP: By building on SAP’s S/4HANA digital core and cloud services, EY and SAP are working to help organizations leverage industry-leading technologies to improve operational performance. This collaboration helps drive digital transformation for our clients across areas including finance, human resources, supply chain and procurement. Our goal is to support clients as they initiate or undergo major transformation. Our capabilities span end-to-end solution implementation services from strategy and architecture to production deployment. EY supports clients in three main areas, Technology implementation support, Enterprise and Industry application implementation, Governance Risk Compliance (GRC) Technology. Banking and Capital Market Services: Banking and Capital Market Services companies are transforming their complex tax and finance functions with technologies such as AI and ML. With the right blend of core competencies, tax and finance personnel will shift to data, process and technology skills to service global clients on their Core Banking Platforms and support their business / digital transformation like Deposit system replacements, lending / leasing modernization, Cloud–native architecture (Containerization) etc. Wealth and Asset Management: We help our clients thrive in a transformative age by providing innovative services to global and domestic asset management clients to increase efficiency, effectiveness and manage the overall impact on bottom line profitability by leveraging the technology, data and digital teams. We do many operational efficiency programs and Technology Enabled Transformation to re-platform their front and Back offices with emerging technologies like AI, ML, Blockchain etc. Insurance Transformation: The current changing Macroeconomic trends continue to challenge Insurers globally. However, with disruptive technologies – including IoT, autonomous vehicles, Blockchain etc, we help companies through these challenges and create innovative strategies to transform their business through technology enabled transformation programs. We provide end to end services to Global P&C (General), Life and Health Insurers, Reinsurers and Insurance brokers. Cyber Security: The ever-increasing risk and complexity surrounding cybersecurity and privacy has put cybersecurity at the top of the agenda for senior management, the Board of Directors, and regulators. We help our clients to understand and quantify their cyber risk, prioritize investments, and embed security, privacy and resilience into every digitally-enabled initiative – from day one. Technology Risk: A practice that is a unique, industry-focused business unit that provides a broad range of integrated services where you’ll contribute technically to IT Risk and Assurance client engagements and internal projects. An important part of your role will be to actively establish, maintain and strengthen internal and external relationships. You’ll also identify potential business opportunities for EY within existing engagements and escalate these as appropriate. Similarly, you’ll anticipate and identify risks within engagements and share any issues with senior members of the team. Behavioral Competencies: Adaptive to team and fosters collaborative approach Innovative approach to the project, when required Shows passion and curiosity, desire to learn and can think digital Agile mindset and ability to multi-task Must have an eye for detail Skills needed: Should have understanding and/or experience of software development best practices and software development life cycle Understanding of one/more programming languages such as Java/ .Net/ Python, data analytics or databases such as SQL/ Oracle/ Teradata etc. Internship in a relevant technology domain will be an added advantage Qualification: BE - B. Tech / (IT/ Computer Science/ Circuit branches) Should have secured 60% and above No active Backlogs 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. About EY GDS Global Delivery Services (GDS) is a dynamic and truly global delivery network. Across our six locations, we work with teams from all EY service lines, geographies and sectors, and play a vital role in the delivery of the EY growth strategy. We operate from six countries and sixteen cities: Argentina (Buenos Aires) China (Dalian) India (Bangalore, Chennai, Gurgaon, Hyderabad, Kochi, Kolkata, Mumbai, Noida, Trivandrum) Philippines (Manila) Poland (Warsaw and Wroclaw) UK (Manchester, Liverpool) Careers in EY Global Delivery Services Join a team of over 50,000 people, working across borders, to provide innovative and strategic business solutions to EY member firms around the world. Join one of our dynamic teams From accountants to coders, we offer a wide variety of fulfilling career opportunities that span all business disciplines Our Consulting practice provides differentiated focus on the key business themes to help our clients solve better questions around technology. Our vision is to be recognized as a leading provider of differentiated technology consulting services, harnessing new disruptive technology, alliances and attracting talented people to solve our clients' issues. It's an exciting time to join us and grow your career as a technology professional. A technology career is about far more than leading-edge innovations. It’s about the application of these technologies in the real world to make a real, meaningful impact. We are looking for highly motivated, articulate individuals who have the skills to the technology lifecycle and are passionate about designing innovative solutions to solve complex business problems. Your career in Consulting can span across these technology areas/ services lines: Digital Technologies: We are a globally integrated digital architecture and engineering team. Our mission is to deliver tailored, custom-built end to end solutions to our customers that are Digital, Cloud Native and Open Source. Our skills include Experience design, UI development, Design Thinking, Architecture & Design, Full stack development (.Net/ Java/ SharePoint/ Power Platform), Emerging Technologies like Block Chain, IoT, AR\VR, Drones, Cloud and DevSecOps. We use industrialized techniques, built on top of agile methods utilizing our global teams to deliver end to end solutions at best unit cost proposition. Testing Services: We are the yardstick of quality software product. We break something to make the product stronger and successful. We provide entire gamut of testing services including Busines / User acceptance testing. Hence this is a team with all round skills such as functional, technical and process. Data & Analytics: Data and Analytics is amongst the largest and most versatile practices within EY. Our sector and domain expertise combined with technical skills in data, cloud, advanced analytics and artificial intelligence differentiates us in the industry. Our talented team possesses cross-sector and cross-domain expertise and a wide array of skills in Information Management (IM), Business Intelligence (BI), Advance Analytics (AA) and Artificial Intelligence (AI) Oracle: We provide one-stop solution for end-to-end project implementation enabled by Oracle and IBM Products. We use proven methodologies, tools and accelerators to jumpstart and support large Risk and Finance Transformation. We develop solutions using various languages such as SQL or PL/ SQL, Java, Java Script, Python, IBM Maximo and other Oracle Utilities. We also provide consulting services for streamlining the current reporting process using various Enterprise Performance Management tools. SAP: By building on SAP’s S/4HANA digital core and cloud services, EY and SAP are working to help organizations leverage industry-leading technologies to improve operational performance. This collaboration helps drive digital transformation for our clients across areas including finance, human resources, supply chain and procurement. Our goal is to support clients as they initiate or undergo major transformation. Our capabilities span end-to-end solution implementation services from strategy and architecture to production deployment. EY supports clients in three main areas, Technology implementation support, Enterprise and Industry application implementation, Governance Risk Compliance (GRC) Technology. Banking and Capital Market Services: Banking and Capital Market Services companies are transforming their complex tax and finance functions with technologies such as AI and ML. With the right blend of core competencies, tax and finance personnel will shift to data, process and technology skills to service global clients on their Core Banking Platforms and support their business / digital transformation like Deposit system replacements, lending / leasing modernization, Cloud–native architecture (Containerization) etc. Wealth and Asset Management: We help our clients thrive in a transformative age by providing innovative services to global and domestic asset management clients to increase efficiency, effectiveness and manage the overall impact on bottom line profitability by leveraging the technology, data and digital teams. We do many operational efficiency programs and Technology Enabled Transformation to re-platform their front and Back offices with emerging technologies like AI, ML, Blockchain etc. Insurance Transformation: The current changing Macroeconomic trends continue to challenge Insurers globally. However, with disruptive technologies – including IoT, autonomous vehicles, Blockchain etc, we help companies through these challenges and create innovative strategies to transform their business through technology enabled transformation programs. We provide end to end services to Global P&C (General), Life and Health Insurers, Reinsurers and Insurance brokers. Cyber Security: The ever-increasing risk and complexity surrounding cybersecurity and privacy has put cybersecurity at the top of the agenda for senior management, the Board of Directors, and regulators. We help our clients to understand and quantify their cyber risk, prioritize investments, and embed security, privacy and resilience into every digitally-enabled initiative – from day one. Technology Risk: A practice that is a unique, industry-focused business unit that provides a broad range of integrated services where you’ll contribute technically to IT Risk and Assurance client engagements and internal projects. An important part of your role will be to actively establish, maintain and strengthen internal and external relationships. You’ll also identify potential business opportunities for EY within existing engagements and escalate these as appropriate. Similarly, you’ll anticipate and identify risks within engagements and share any issues with senior members of the team. Behavioral Competencies: Adaptive to team and fosters collaborative approach Innovative approach to the project, when required Shows passion and curiosity, desire to learn and can think digital Agile mindset and ability to multi-task Must have an eye for detail Skills needed: Should have understanding and/or experience of software development best practices and software development life cycle Understanding of one/more programming languages such as Java/ .Net/ Python, data analytics or databases such as SQL/ Oracle/ Teradata etc. Internship in a relevant technology domain will be an added advantage Qualification: BE - B. Tech / (IT/ Computer Science/ Circuit branches) Should have secured 60% and above No active Backlogs 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.

Sr Devloper with special emphasis and experience of 8 to 10 years on Python and Pyspark along with hands on experience on AWS Data components like AWS Glue, Athena etc.,. Also have good knowledge on Data ware house tools to understand the existing system. Candidate should also have experience on Datalake, Teradata and Snowflake. Should be good at terraform. 8-10 years of experience in designing and developing Python and Pyspark applications Creating or maintaining data lake solutions using Snowflake,taradata and other dataware house tools. Should have good knowledge and hands on experience on AWS Glue , Athena etc., Sound Knowledge on all Data lake concepts and able to work on data migration projects. Providing ongoing support and maintenance for applications, including troubleshooting and resolving issues. Expertise in practices like Agile, Peer reviews and CICD Pipelines.

About Lowe’s Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India. About The Team The Lowe’s Loyalty marketing Insights team delivers valuable insights to our Marketing partners. The team delivers quality analysis and reports that show the deep understanding of each of the campaign performance and of our customer behavior, helping Lowe’s win with its most strategic customer groups. Job Summary The Manager Customer Loyalty and Marketing Intelligence , is responsible for turning deep customer analytics into highly personalized customer experiences for the Lowe’s loyalty programs and personalization efforts. This individual will own interpreting customer data and transforming it into customer strategies as well as setting objectives and key results for these strategies. The Manager will also work to create and guide the Competitive Intelligence program within Marketing, assessing various components of the competitive landscape (competitive marketing strategies, competitive marketing activities, the dynamic marketing environment trends (channel spend, costs, emerging channels, etc.) and bring together stories that enable a broad understanding of the marketplace for which Lowe’s Marketing can react to in order to deliver more successfully. They will possess analytical problem-solving, ability to synthesize multiple data points, will demonstrate the ability wrap multiple data points into a cohesive story and strategy. Roles & Responsibilities Look across various customer groups and determine which groups should be a priority to reach based on size of prize and desired business outcome (e.g. drive trips, basket, margin). Based on customer profiles for these priority segments, recommend what to say to these key segments to drive the desired business outcome Own the development of the full business case for audience campaigns, including the financial metrics and OKRs. Proactively mine large customer datasets looking for new opportunities to increase engagement. Creating an analytics culture that inspires a test and learn environment Create new ways of visualizing and reporting our customer data sets to drive clarity on who is our customer and how to win with key segments Communicate program performance at many levels (campaign/pillar) that drive action. Partner with Technology teams to create models, tools and dashboards Recommend new methods for analysis and needed data visualization enhancements within the newly created measurement and customer dashboards Analyze competitor’s competitive Marketing approaches including brand strategies, media strategies, customer strategies, etc., synthesizing into comprehensive stories. Taking these stories and turning them into Lowe’s marketing strategy recommendations. Independently determine analysis plan, delivering the analysis, and when needed working with DACI to determine more advanced analytical mechanisms. Identify new data sources that are needed to best understand the competitive Marketing landscape and create use case and recommendations for new data source investment Years Of Experience 8-12 years of experience in data driven marketing team. Advance level understanding of CRM, Customer Journey workflows and Programmatic / Cyclical campaigning to drive incremental ROI campaigns Education Qualification & Certifications (optional) Required Minimum Qualifications Bachelors or Master's Degree in Finance, Accounting, Business, Economics, or a highly analytical field (e.g., Engineering, Math, and Computer Science) Skill Set Required Primary Skills (must have) Experience in Analytics positions (Loyalty, Personalization, Customer analytics preferred) with Experience in using predictive analytics and similar concepts Proficient in BI and analytics tools like Power BI, Tableau, SQL, R, Python Ability to work with large amounts of data and summarize at an executive level Strong communication skills with the ability to tailor content to different levels across the organization; using data to highlight a problem, an opportunity, or summarize performance Finance & Strategy driven - experience in a finance related role, preferably within the marketing or loyalty arena and understand the different cogs that make a business run to create airtight business cases across loyalty programs and initiatives Self-starter with the ability to work with minimal direction and forge strong working relationships in a highly cross-functional environment to drive results Strong statistical skills, the ability to measure isolated tests or incremental studies Secondary Skills (desired) Experience in retail loyalty, retention, or CRM Strong skills in SQL and working knowledge of databases including Teradata, Hadoop Knowledge of machine learning and advanced analytics using tools including R and Python Experience in omni channel retail Prior background in personalization and CRM analytics Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.

About the role Analyse complex datasets and make it consumable using visual storytelling and visualization tools such as reports and dashboards built using approved tools (Tableau, PyDash) You will be responsible for Understands business needs and in depth understanding of Tesco processes- Builds on Tesco processes and knowledge by applying CI tools and techniques. - Responsible for completing tasks and transactions within agreed KPI's- Solves problems by analyzing solution alternatives-Engage with market leaders to understand problems to be solved, translate the business problems to analytical problems, taking ownership of specified analysis and translate the answers back to decision makers in business- Manipulating, analyzing and synthesizing large complex data sets using different sources and ensuring data quality and integrity- Think beyond the ask and develop analysis and reports that will contribute beyond basic asks- Accountable for high quality and timely completion of specified work deliverables and ad-hocs business asks- Write codes that are well detailed, structured, and compute efficient- Drive value delivery through efficiency gain by automating repeatable tasks, report creation or dashboard refresh- Collaborate with colleagues to craft, implement and measure consumption of analysis, reports and dashboards- Contribute to development of knowledge assets and reusable modules on GitHub/Wiki- Understands business needs and in depth understanding of Tesco processes- Responsible for completing tasks and transactions within agreed metrics- Experience in handling high volume, time pressured business asks and ad-hocs requests You will need 2-4 years experience preferred in analysis oriented delivery in any one of domains like retail, cpg, telecom or hospitality and for one of the following functional areas - marketing, supply chain, customer, space range and merchandising, operations, finance or digital will be preferredStrong understanding of Business Decisions, Skills to develop visualizations, self-service dashboards and reports using Tableau & Basic Statistical Concepts (Correlation Analysis and Hyp. Testing), Good Skills to analyze data using Adv Excel, Adv SQL, Hive, Phython, Data Warehousing concepts (Hadoop, Teradata), Automation using alteryx, python Whats in it for you? At Tesco, we are committed to providing the best for you. As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits. Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable. Salary - Your fixed pay is the guaranteed pay as per your contract of employment. Performance Bonus - Opportunity to earn additional compensation bonus based on performance, paid annually Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company’s policy. Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents. Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request. Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan. Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. About Us Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues. Tesco Business Solutions: Established in 2017, Tesco Business Solutions (TBS) has evolved from a single entity traditional shared services in Bengaluru, India (from 2004) to a global, purpose-driven solutions-focused organisation. TBS is committed to driving scale at speed and delivering value to the Tesco Group through the power of decision science. With over 4,400 highly skilled colleagues globally, TBS supports markets and business units across four locations in the UK, India, Hungary, and the Republic of Ireland. The organisation underpins everything that the Tesco Group does, bringing innovation, a solutions mindset, and agility to its operations and support functions, building winning partnerships across the business. TBS's focus is on adding value and creating impactful outcomes that shape the future of the business. TBS creates a sustainable competitive advantage for the Tesco Group by becoming the partner of choice for talent, transformation, and value creation

Role:-Data Analyst / Data Engineer Exp:- 7-11 Yrs Location:-Hyderabad Primary Skills:- ETL,Informatica,Python, SQL,BI tools and Investment Domain Please share your resumes to jyothsna.g@technogenindia.com , Job Description:- The Minimum Qualifications Education: Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Actuarial Science, or related field. Experience: 7-9 years of experience as a Data Analyst, with at least 5 years supporting Finance within the insurance industry. Hands-on experience with Vertica/Teradata for querying, performance optimization, and large-scale data analysis. Advanced SQL skills: proficiency in Python is a strong plus. Proven ability to write detailed source-to-target mapping documents and collaborate with technical teams on data integration. Experience working in hybrid onshore-offshore team environments. Deep understanding of data modelling concepts and experience working with relational and dimensional models. Strong communication skills with the ability to clearly explain technical concepts to non-technical audiences. A strong understanding of statistical concepts, probability and accounting standards, financial statements (balance sheet, income statement, cash flow statement), and financial ratios. Strong understanding of life insurance products and business processes across the policy lifecycle. Investment Principles: Knowledge of different asset classes, investment strategies, and financial markets. Quantitative Finance: Understanding of financial modelling, risk management, and derivatives. Regulatory Framework: Awareness of relevant financial regulations and compliance requirements. The Ideal Qualifications Technical Skills: Proven track record of Analytical and Problem-Solving skills. A solid understanding of Financial Accounting Systems and knowledge of accounting principles, reporting and budgeting Strong data analysis skills for extracting insights from financial data Proficiency in data visualization tools and reporting software is also important. Experience integrating financial systems with actuarial, policy administration, and claims platforms. Familiarity with actuarial processes, reinsurance, or regulatory reporting requirements. Experience with General Ledger systems such as SAP and forecasting tools like Anaplan. Soft Skills: Exceptional communication and interpersonal skills. Ability to influence and motivate teams without direct authority. Excellent time management and organizational skills, with the ability to prioritize multiple initiatives. What to Expect as Part of MassMutual and the Team Regular meetings with the Corporate Technology leadership team Focused one-on-one meetings with your manager Access to mentorship opportunities Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits

Join us as a Test Automation Engineer at Barclays, responsible for supporting the successful delivery of location strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as a Test Automation Engineer you should have experience with: Programming Languages: Java, Python language used in test automation. Basic Unix knowledge Automation Frameworks: Selenium WebDriver, TestNG, Cucumber Test Automation Design Patterns: Page Object Model, Factory Pattern CI/CD Tools: Gitlab & Gitlab Duo, Jenkins Version Control Systems: Gitlab Duo, Bitbucket API Testing: RestAssured, Insomnia: JSON, and XML [Karate to be validated] Test Reporting and Logs: Extent Reports, Log4j. Some Other Highly Valued Skills May Include Agile Methodologies: Knowledge of Kanban/Scrum practices, JIRA for tracking. Database Testing: SQL, Oracle, MongoDB, Teradata database validation Cloud Technologies: Familiarity with AWS cloud platforms for testing. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based out of Pune. Purpose of the role To design, develop, and execute testing strategies to validate functionality, performance, and user experience, while collaborating with cross-functional teams to identify and resolve defects, and continuously improve testing processes and methodologies, to ensure software quality and reliability. Accountabilities Development and implementation of comprehensive test plans and strategies to validate software functionality and ensure compliance with established quality standards. Creation and execution automated test scripts, leveraging testing frameworks and tools to facilitate early detection of defects and quality issues. . Collaboration with cross-functional teams to analyse requirements, participate in design discussions, and contribute to the development of acceptance criteria, ensuring a thorough understanding of the software being tested. Root cause analysis for identified defects, working closely with developers to provide detailed information and support defect resolution. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Back to nav Share job X(Opens in new tab or window) Facebook(Opens in new tab or window) LinkedIn(Opens in new tab or window)

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You'll Be Doing… A Business Transformation Manager plays a crucial role in leading a team of data analysts / Data scientist and ensuring they effectively collect, analyze, and interpret data to drive business insights and decision-making. They oversee the entire data analysis process, from data acquisition and cleaning to reporting and communicating findings to stakeholders. You will be part of a vibrant and growing team that generates insights and customer experience solutions for the entire Consumer Business Organization. You will work with various business units and functional leaders at the highest levels of the organization to detail current processes, help define new processes and lead transformative projects aimed at achieving the strategic and financial objectives of the business while preparing the business for future. Team Leadership And Management Providing strategic direction and guidance to the data analyst team, aligning their efforts with overall business objectives. Fostering a collaborative and supportive work environment, motivating and empowering team members to achieve their full potential. Assigning tasks, delegate responsibilities, and track individual and team performance, ensuring timely completion of projects and deliverables. Conducting regular performance evaluations, providing constructive feedback and identifying areas for professional development. Data Analysis And Insights Generation Possessing a strong understanding of data analysis methodologies, statistical techniques, and data visualization tools. Collecting, cleaning, and organizing large datasets from various sources, ensuring data integrity and accuracy. Applying statistical analysis techniques to extract meaningful patterns, trends, and insights from data. Utilizing data visualisation tools to create clear, concise, and impactful presentations for stakeholders. Business Problem-Solving And Decision Support Collaborating with business stakeholders to identify and understand their specific data needs and problem areas. Translating business questions into actionable data analysis strategies, designing appropriate research plans and methodologies. Analyzing data to uncover hidden patterns, trends, and insights that inform business decisions and strategies. Communicating data-driven findings and recommendations to stakeholders in a clear, concise, and actionable manner. What We're Looking For… You'll need to have: Bachelor's degree with six or more year of work experience Eight or more years of experience as a Data Analyst / Data science or related role. Six or more years of experience on Data Analytics, SQL, analytical queries and analyzing data from data warehouses like GCP / Teradata (eDW).Proven ability to lead and manage a team of data analysts and Data scientists. Strong expertise in data analysis methodologies, statistical techniques, and data visualization tools. Good knowledge and practical implementation of Exploratory data analysis & Descriptive Statistics Excellent analytical, troubleshooting and problem solving skills Good Working knowledge on different marketing channels, call volume reduction, NPS, digital platforms like Desktop, Mobile app etc and assisted sales channels Presentation skills, including ability to create presentations using Google Sheets/MS PowerPoint and experience presenting to all levels of an organization. Even better if you have one or more of the following: Bachelor's degree in a relevant field such as Data Science, Statistics, Computer Science, or Business Analytics. Python proficiency. Design Thinking proficiency. To Build and enhance dashboard using Tableau or Qlikview or similar tools If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You'll Be Doing… A Business Transformation Manager plays a crucial role in leading a team of data analysts / Data scientist and ensuring they effectively collect, analyze, and interpret data to drive business insights and decision-making. They oversee the entire data analysis process, from data acquisition and cleaning to reporting and communicating findings to stakeholders. You will be part of a vibrant and growing team that generates insights and customer experience solutions for the entire Consumer Business Organization. You will work with various business units and functional leaders at the highest levels of the organization to detail current processes, help define new processes and lead transformative projects aimed at achieving the strategic and financial objectives of the business while preparing the business for future. Team Leadership And Management Providing strategic direction and guidance to the data analyst team, aligning their efforts with overall business objectives. Fostering a collaborative and supportive work environment, motivating and empowering team members to achieve their full potential. Assigning tasks, delegate responsibilities, and track individual and team performance, ensuring timely completion of projects and deliverables. Conducting regular performance evaluations, providing constructive feedback and identifying areas for professional development. Data Analysis And Insights Generation Possessing a strong understanding of data analysis methodologies, statistical techniques, and data visualization tools. Collecting, cleaning, and organizing large datasets from various sources, ensuring data integrity and accuracy. Applying statistical analysis techniques to extract meaningful patterns, trends, and insights from data. Utilizing data visualisation tools to create clear, concise, and impactful presentations for stakeholders. Business Problem-Solving And Decision Support Collaborating with business stakeholders to identify and understand their specific data needs and problem areas. Translating business questions into actionable data analysis strategies, designing appropriate research plans and methodologies. Analyzing data to uncover hidden patterns, trends, and insights that inform business decisions and strategies. Communicating data-driven findings and recommendations to stakeholders in a clear, concise, and actionable manner. What We're Looking For… You'll need to have: Bachelor's degree with six or more year of work experience Eight or more years of experience as a Data Analyst / Data science or related role. Six or more years of experience on Data Analytics, SQL, analytical queries and analyzing data from data warehouses like GCP / Teradata (eDW).Proven ability to lead and manage a team of data analysts and Data scientists. Strong expertise in data analysis methodologies, statistical techniques, and data visualization tools. Good knowledge and practical implementation of Exploratory data analysis & Descriptive Statistics Excellent analytical, troubleshooting and problem solving skills Good Working knowledge on different marketing channels, call volume reduction, NPS, digital platforms like Desktop, Mobile app etc and assisted sales channels Presentation skills, including ability to create presentations using Google Sheets/MS PowerPoint and experience presenting to all levels of an organization. Even better if you have one or more of the following: Bachelor's degree in a relevant field such as Data Science, Statistics, Computer Science, or Business Analytics. Python proficiency. Design Thinking proficiency. To Build and enhance dashboard using Tableau or Qlikview or similar tools If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

Job Description (Lead Data Engineer) Designation: Consultant II/ Sr.Consultant Job Location: Bangalore Shift Timing: 1:00PM IST – 10:30 PM IST Experience: 3+ years Job Responsibilities Collaborate with project stakeholders (client) to identify product and technical requirements. Develop, implement, and tune large-scale distributed systems and pipelines that process large volume of data Write clean, maintainable, and testable code for data workflows. Troubleshoot data issues and perform root cause analysis Must Have: 3+ years of Hands-on coding experience in PySpark & SQL. Excellent verbal and business communication skills. Worked on complex SQL Query and has work on query performance optimization Good To Have: Experience working on large-scale data warehouse projects; Teradata experience is a plus. Experience with ETL tools. Experience working with workflow scheduler tools; experience with Apache Airflow is a plus. Working experience with Kubernetes, Unix, github Job Description (Lead Data Engineer) Designation: Sr.Consultant Job Location: Chennai (Hybrid) Shift Timing: 1:00PM IST – 10:30 PM IST Experience: 3+ years Must Have: 3+ years of Hands-on coding experience in PySpark & SQL. Excellent verbal and business communication skills. Worked on complex SQL Query and has work on query performance optimization Good To Have: Experience working on large-scale data warehouse projects; Teradata experience is a plus. Experience with ETL tools Experience working with workflow scheduler tools; experience with Apache Airflow is a plus. Working experience with Kubernetes, Unix, github

Job Description (Lead Data Engineer) Designation: Consultant II/ Sr.Consultant Job Location: Bangalore Shift Timing: 1:00PM IST – 10:30 PM IST Experience: 3+ years Job Responsibilities Collaborate with project stakeholders (client) to identify product and technical requirements. Develop, implement, and tune large-scale distributed systems and pipelines that process large volume of data Write clean, maintainable, and testable code for data workflows. Troubleshoot data issues and perform root cause analysis Must Have: 3+ years of Hands-on coding experience in PySpark & SQL. Excellent verbal and business communication skills. Worked on complex SQL Query and has work on query performance optimization Good To Have: Experience working on large-scale data warehouse projects; Teradata experience is a plus. Experience with ETL tools. Experience working with workflow scheduler tools; experience with Apache Airflow is a plus. Working experience with Kubernetes, Unix, github Job Description (Lead Data Engineer) Designation: Sr.Consultant Job Location: Chennai (Hybrid) Shift Timing: 1:00PM IST – 10:30 PM IST Experience: 3+ years Must Have: 3+ years of Hands-on coding experience in PySpark & SQL. Excellent verbal and business communication skills. Worked on complex SQL Query and has work on query performance optimization Good To Have: Experience working on large-scale data warehouse projects; Teradata experience is a plus. Experience with ETL tools Experience working with workflow scheduler tools; experience with Apache Airflow is a plus. Working experience with Kubernetes, Unix, github

Role Title: Data Analyst Function: Data & Analytics Role Type: Permanent About this Role As a Data Analyst within the Data & Analytics (D&A) team, you will play a pivotal role in developing and maintaining the Application Layer that interfaces directly with our D&A customers. This role requires a strong understanding of business context and the ability to translate evolving requirements into robust data solutions. You will be responsible for backend development, including the creation of data structures, data marts, and transformation pipelines that support regular service operations. The role also involves developing ETLs from source systems into the Data Warehouse and ensuring data consistency and quality in an agile environment. Who are you You are a detail-oriented data professional with a passion for solving complex problems through data. You thrive in collaborative environments, are comfortable working with large datasets, and have a strong foundation in SQL and cloud-native technologies. You are proactive, adaptable, and committed to delivering high-quality solutions that meet stakeholder needs. What you will do Develop and maintain the Application Layer, focusing on backend data structures and transformation logic. Design and implement ETL processes from source systems into the Data Warehouse. Collaborate with cross-functional teams to stabilize and clarify business requirements. Support operations teams in resolving data quality and consistency issues. Drive system optimization and simplification initiatives. Provide a seamless and efficient experience for business stakeholders. What skills you need Primary Skills: Advanced SQL scripting (Teradata SQL preferred) ETL development and maintenance Linux/Unix Shell Scripting Alternate Skills (Preferred): Version control tools (e.g., Git) Scheduling tools (e.g., Control-M) Google Cloud Platform (BigQuery, DataForm, DataProc) Core Competencies: Strong data interpretation and analytical skills Experience with large datasets (tens of millions of rows) Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders Proven ability to manage multiple stakeholders and deliver on commitments Strong problem-solving and decision-making capabilities Experience: 68 years in data engineering, data warehousing, or ETL development Experience in designing and modifying data models Hands-on experience with cloud-native platforms (GCP preferred) Exposure to the telecommunications industry is an advantage Technical Qualifications: Proficiency in SQL and Python scripting Familiarity with structured and unstructured data handling Understanding of end-to-end system landscapes What skills you will learn Advanced cloud-native data engineering practices Agile methodologies for data product development Cross-functional collaboration in a global enterprise environment Continuous improvement and automation in data operations Exposure to cutting-edge tools and technologies in the data ecosystem Key Performance Indicators Technical expertise and delivery quality Accountability and ownership of assigned tasks Effective stakeholder management and communication Responsiveness to risks and issues Proactive identification of improvement opportunities Collaborative team contribution and problem-solving mindset About VOIS: VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation. As the largest shared services organization in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability. We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal. #VOIS #BeUnrivalled #CreateTheFuture About Vodafone: At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this. We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together. With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference. As part of our global family, whether that's Vodafone, Vodacom or VOIS, you'll feel a sense of pride and purpose as you contribute to our culture of innovation. We pursue equality of opportunity and inclusion for all candidates through our employment policies and practices. We recognize and celebrate the importance of diversity and inclusivity in our workspace and we do not tolerate any form of discrimination especially related to but not limited to race, colour, age, veteran status, gender identification, sexual orientation, pregnancy, ethnicity, disability, religion, political affiliation, trade union membership, nationality, indigenous status, medical condition, HIV status, social origin, cultural background, social, or marital status. Follow us on social media and #StayConnected. LinkedIn Facebook Instagram

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Senior Principal consultant- Data Engineer In this role, we are looking for candidates who have relevant years of experience in designing and developing machine learning and deep learning system . Who have professional software development experience. Hands on running machine learning tests and experiments. Implementing appropriate ML algorithms engineers. Responsibilities Drive the vision for modern data and analytics platform to deliver well architected and engineered data and analytics products leveraging cloud tech stack and third-party products Close the gap between ML research and production to create ground-breaking new products, features and solve problems for our customers Design, develop, test, and deploy data pipelines, machine learning infrastructure and client-facing products and services Build and implement machine learning models and prototype solutions for proof-of-concept Scale existing ML models into production on a variety of cloud platforms Analyze and resolve architectural problems, working closely with engineering, data science and operations teams. Design and develop data pipelines: Create efficient data pipelines to collect, process, and store large volumes of data from various sources. Implement data solutions: Develop and implement scalable data solutions using technologies like Hadoop, Spark, and SQL databases. Ensure data quality: Monitor and improve data quality by implementing validation processes and error handling. Collaborate with teams: Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions. Optimize performance: Continuously optimize data systems for performance, scalability, and cost-effectiveness. Experience in GenAI project Qualifications we seek in you! Minimum Qualifications / Skills Bachelor%27s degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field Master&rsquos degree is a plus Integration - APIs, micro- services and ETL/ELT patterns DevOps (Good to have) - Ansible, Jenkins, ELK Containerization - Docker, Kubernetes etc Orchestration - Airflow, Step Functions, Ctrl M etc Languages and scripting: Python, Scala Java etc Cloud Services - AWS, GCP, Azure and Cloud Native Analytics and ML tooling - Sagemaker , ML Studio Execution Paradigm - low latency/Streaming, batch Preferred Qualifications/ Skills Data platforms - Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, BigQuery , Snowflake etc.) Visualization Tools - PowerBI , Tableau Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Principal Consultant, AI Engineer! In this role, we are looking for candidates who have relevant years of experience in designing and developing machine learning and deep learning system . Who have professional software development experience. Hands on running machine learning tests and experiments. Implementing appropriate AI engineers with GenAI . Responsibilities Drive the vision for modern data and analytics platform to deliver well architected and engineered data and analytics products leveraging cloud tech stack and third-party products Close the gap between AI research and production to create ground-breaking new products, features and solve problems for our customers with GenAI Design, develop, test, and deploy data pipelines, machine learning infrastructure and client-facing products and services Build and implement machine learning models and prototype solutions for proof-of-concept Scale existing AI models into production on a variety of cloud platforms with GenAI Analyze and resolve architectural problems, working closely with engineering, data science and operations teams Qualifications we seek in you! Minimum Qualifications / Skills Bachelor%27s degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field Master&rsquos degree is a plus Integration - APIs, micro- services and ETL/ELT patterns DevOps (Good to have) - Ansible, Jenkins, ELK Containerization - Docker, Kubernetes etc Orchestration - Airflow, Step Functions, Ctrl M etc Languages and scripting: Python, Scala Java etc Cloud Services - AWS, GCP, Azure and Cloud Native Analytics and AI tooling - Sagemaker , GenAI Execution Paradigm - low latency/Streaming, batch Ensure GenAI outputs are contextually relevant, Familiarity with Generative AI technologies, Design and Implement GenAI Solutions Collaborate with service line teams to design, implement and manage Gen-AI solution Preferred Qualifications/ Skills Data platforms - Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, BigQuery , Snowflake etc.) AI and GenAI Tools Certifications in AI/ML or GenAI Familiarity with generative models, prompt engineering, and fine-tuning techniques to develop innovative AI solutions. Designing, developing, and implementing solutions tailored to meet client needs. Understanding business requirements and translating them into technical solutions using GEN AI Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.