6+ years of industry work experience Experience extracting data from a variety of sources, and a desire to expand those skills Worked on Google Looker tool Worked on Big Query and GCP technologies Strong SQL and Spark knowledge Excellent Data Analysis skills. Must be comfortable with querying and analyzing large amount of data on Hadoop HDFS using Hive and Spark Knowledge of Financial Accounting is a bonus Work independently with cross functional team and drive towards the resolution Experience with Object oriented programming using python and its design patterns Experience handling Unix systems, for optimal usage to host enterprise web applications GCP certifications preferred. Payments Industry Background good to have Candidate who has been part to google Cloud Migration is an ideal Fit Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 3-5 years of experience Intuitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications Preferred technical and professional experience 6+ years of industry work experience Experience extracting data from a variety of sources, and a desire to expand those skills Worked on Google Looker tool

As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You’ll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you’ll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you’ll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour’s. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Expertise in designing and implementing scalable data warehouse solutions on Snowflake, including schema design, performance tuning, and query optimization. Strong experience in building data ingestion and transformation pipelines using Talend to process structured and unstructured data from various sources. Proficiency in integrating data from cloud platforms into Snowflake using Talend and native Snowflake capabilities. Hands-on experience with dimensional and relational data modelling techniques to support analytics and reporting requirements. Understanding of optimizing Snowflake workloads, including clustering keys, caching strategies, and query profiling. Ability to implement robust data validation, cleansing, and governance frameworks within ETL processes. Proficiency in SQL and/or Shell scripting for custom transformations and automation tasks Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Tableau Desktop Specialist, SQL -Strong understanding of SQL for Querying database Good to have - Python ; Snowflake, Statistics, ETL experience. Extensive knowledge on using creating impactful visualization using Tableau. Must have thorough understanding of SQL & advance SQL (Joining & Relationships) Preferred technical and professional experience Must have experience in working with different databases and how to blend & create relationships in Tableau. Must have extensive knowledge to creating Custom SQL to pull desired data from databases. Troubleshooting capabilities to debug Data controls. Capable of converting business requirements into workable model. Good communication skills, willingness to learn new technologies, Team Player, Self-Motivated, Positive Attitude.

As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. Your primary responsibilities includeComprehensive Feature Development and Issue ResolutionWorking on the end to end feature development and solving challenges faced in the implementation. Stakeholder Collaboration and Issue ResolutionCollaborate with key stakeholders, internal and external, to understand the problems, issues with the product and features and solve the issues as per SLAs defined. Continuous Learning and Technology IntegrationBeing eager to learn new technologies and implementing the same in feature development. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise End to End functional knowledge of the data pipeline/transformation implementation that the candidate has done, should understand the purpose/KPIs for which data transformation was done. Expert in SQL – can do data analysis and investigation using Sql queries Implementation Knowledge Advance Sql functions like – Regular Expressions, Aggregation, Pivoting, Ranking, Deduplication etc. BigQuery and BigQuery Transformation (using Stored Procedures) Data modelling concepts – Star & Snowflake schemas, Fact & Dimension table, Joins, Cardinality etc Preferred technical and professional experience Stay updated with the latest trends and advancements in cloud technologies, frameworks, and tools. Conduct code reviews and provide constructive feedback to maintain code quality and ensure adherence to best practices. Troubleshoot and debug issues, and deploy applications to the cloud platform

Contract duration 6 month Locations-Pune/Bangalore/hyderabad/Indore Responsibilities - Must have experience working as a Snowflake Admin/Development in Data Warehouse, ETL, BI projects. - Must have prior experience with end to end implementation of Snowflake cloud data warehouse and end to end data warehouse implementations on-premise preferably on Oracle/Sql server. - Expertise in Snowflake - data modelling, ELT using Snowflake SQL, implementing complex stored Procedures and standard DWH and ETL concepts - Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, - Zero copy clone, time travel and understand how to use these features - Expertise in deploying Snowflake features such as data sharing. - Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python - Experience in Data Migration from RDBMS to Snowflake cloud data warehouse - Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling) - Experience with data security and data access controls and design- - Experience with AWS or Azure data storage and management technologies such as S3 and Blob - Build processes supporting data transformation, data structures, metadata, dependency and workload management- - Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot. - Provide resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface. - Must have experience of Agile development methodologies. Good to have - CI/CD in Talend using Jenkins and Nexus. - TAC configuration with LDAP, Job servers, Log servers, database. - Job conductor, scheduler and monitoring. - GIT repository, creating user & roles and provide access to them. - Agile methodology and 24/7 Admin and Platform support. - Estimation of effort based on the requirement. - Strong written communication skills. Is effective and persuasive in both written and oral communication.

Bachelors Degree plus at least 5-7 years of experience with minimum 3+years in SQL development Strong working knowledge on advanced SQL capabilities like Analytics and Windowing function Working knowledge of 3+ years on some RDBMS database is must have Exposure to Shell scripts for invoking the SQL calls Exposure to the ETL tools would be good to have Working knowledge on Snowflake is good to have Location: Hyderabad, Pune, Bangalore

Mandatory Skills: AWS, Python, SQL, spark, Airflow, SnowflakeResponsibilities Create and manage cloud resources in AWS Data ingestion from different data sources which exposes data using different technologies, such asRDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations Develop an infrastructure to collect, transform, combine and publish/distribute customer data. Define process improvement opportunities to optimize data collection, insights and displays. Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible Identify and interpret trends and patterns from complex data sets Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. Key participant in regular Scrum ceremonies with the agile teams Proficient at developing queries, writing reports and presenting findings Mentor junior members and bring best industry practices

Role & responsibilities The Application Head is Responsible for overseeing the Deployment and Management of Enterprise Applications with a strong focus on S/4HANA and Retail Industry Solutions. Extensive Experience in both SAP and non SAP Enterprise Solution Deployments, Ensuring Seamless Integration and Operational Efficiency across the Organization. Oversee the Deployment, Management and Optimization of S/4HANA and other Enterprise Applications. Ensure Seamless Integration of SAP and non-SAP Solutions to support Business Processes. Qualifications Bachelors or Master’s degree in Computer Science, Information Technology or related field. 10+ Years of Experience in Application Management and Deployment Roles. Strong knowledge of S/4HANA, Retail Industry Solutions and non-SAP Enterprise Applications. Preferred Skill Experience in Retail (Brand Retailing is a plus). Familiarity with Tools like Power BI, Tableau, Databricks, Snowflake or similar. Understanding of Ethical AI and Responsible Data Use.

7+ years of experience in ETL Testing, Snowflake, DWH Concepts. Strong SQL knowledge & debugging skills are a must. Experience on Azure and Snowflake Testing is plus Experience with Qlik Replicate and Compose tools (Change Data Capture) tools is considered a plus Strong Data warehousing Concepts, ETL tools like Talend Cloud Data Integration, Pentaho/Kettle tool Experience in JIRA, Xray defect management toolis good to have. Exposure to the financial domain knowledge is considered a plus Testing the data-readiness (data quality) address code or data issues Demonstrated ability to rationalize problems and use judgment and innovation to define clear and concise solutions Demonstrate strong collaborative experience across regions (APAC, EMEA and NA) to effectively and efficiently identify root cause of code/data issues and come up with a permanent solution Prior experience with State Street and Charles River Development (CRD) considered a plus Experience in tools such as PowerPoint, Excel, SQL Exposure to Third party data providers such as Bloomberg, Reuters, MSCI and other Rating agencies is a plus

Job Title: Data & Analytics Cloud Platform Manager AWS & Snowflake Job Summary: We are seeking an experienced Data & Analytics Cloud Platform Manager to oversee and optimize a Snowflake-based data platform on AWS. The ideal candidate will have deep expertise in managing operations, automation, support governance, SLI optimization, and change management to ensure reliability and performance. This role requires strong leadership skills to drive efficiency, automation, and operational excellence in a cloud-native data environment. Key Responsibilities: Cloud Platform Management: Oversee and optimize the AWS-based data & analytics infrastructure, ensuring performance, security, and scalability. Incident Management: Lead incident resolution using structured problem management practices, ensuring minimal business impact. Support Governance: Establish robust support frameworks to drive consistency in monitoring, issue resolution, and operations. SLI/SLO Management: Define, track, and optimize Service Level Indicators (SLIs) & Service Level Objectives (SLOs) for platform reliability. End-to-End Automation: Implement automation for incident response, monitoring, alerting, and self-healing systems to streamline support operations. Change Management: Manage platform updates, deployments, and data governance changes with minimal disruption. Security & Compliance: Ensure data security, access controls, and regulatory compliance across AWS and Snowflake environments. Collaboration & Leadership: Work closely with engineering, analytics, DevOps, and business teams to drive efficient platform operations. Required Skills & Qualifications: Experience managing cloud-based data platforms, especially AWS & Snowflake. Strong expertise in Incident Management, Support Governance, and SLI/SLO optimization. Hands-on experience in automating data operations and support processes. Deep understanding of AWS cloud services, Snowflake architecture, and data pipeline optimizations. Solid knowledge of ITIL frameworks, DevOps, and cloud-native operations. Proficiency in SQL, Python, Spark, and data orchestration tools. Experience with monitoring tools like AWS CloudWatch, Snowflake Query Performance Dashboard, and Application Insights. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications: Exposure to CI/CD pipelines for data applications. Experience with Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation. Knowledge of machine learning integration for optimizing platform reliability.

Job Location: Chennai, Bangalore, Hyderabad Experience: 5 - 15 yrs Job Type: FTE Shift Timing: 2 PM IST till 11 PM IST Note: Looking only for Immediate to 1 week joiners. Must be comfortable for Video discussion. JD Key Skills: Data Analyst, SQL, Datastage, Snowflake, AWS, Datawarehouse Looking for a Sr. Data Analyst who is experienced in the ETL/Datawarehousing technologies Experienced Data Analyst in ETL/Datawarehousing Experience with SQL, Datastage, Autosys, Snowflake, AWS Knowledge of Agile execution/delivery processes/tools including Confluence, JIRA, SharePoint, and ServiceNow Candidate needs to be having the below : >Minimum of 5+ years of Data analyst experience >Experienced in ETL (Datastage preferrable but fine with others as well) >Experienced in Data Analysis ( Data Cleansing, Data validation, Data Mapping & Solutioning, ETL QA) >Experienced in SQL (Snowflake, SQL server, Oracle SQL/ PL SQL - Any of these) >Should be capable of Client facing work on a day-to-day basis >Knowledgeable in Investment Banking/Asset Management/Compliance Regulatory reporting - any of these is good-to-have Contact Person - Amrita Please share your updated profile to amrita.anandita@htcinc.com with the below mentioned details: Full Name (As per Aadhar card) - Total Exp. - Rel. Exp. (Data Analyst) - Rel. Exp. (Datawarehouse) - Rel. Exp. (SQL) - Rel. Exp. (Datastage) - Rel. Exp. (Snowflake) - Rel. Exp. (AWS) - Highest Education (if has done B.Tech/ B.E, then specify) - Notice Period - If serving Notice or not working, then mention your last working day as per your relieving letter - CCTC - ECTC - Current Location - Preferred Location -

Warm welcome from SP Staffing Services! Reaching out to you regarding permanent opportunity !! Job Description: Exp: 5-12 yrs Location: Chennai Skill: Snowflake Developer Desired Skill Sets: Should have strong experience in Snwoflake Strong Experience in AWS and Python Experience in ETL tools like Abinitio, Teradata Interested can share your resume to sangeetha.spstaffing@gmail.com with below inline details. Full Name as per PAN: Mobile No: Alt No/ Whatsapp No: Total Exp: Relevant Exp in Snowflake Development: Rel Exp in AWS: Rel Exp in Python/Abinitio/Teradata: Current CTC: Expected CTC: Notice Period (Official): Notice Period (Negotiable)/Reason: Date of Birth: PAN number: Reason for Job Change: Offer in Pipeline (Current Status): Availability for F2F interview on 14th June, Saturday between 9 AM- 12 PM(plz mention time): Current Res Location: Preferred Job Location: Whether educational % in 10th std, 12th std, UG is all above 50%? Do you have any gaps in between your education or Career? If having gap, please mention the duration in months/year:

RSM is looking for an experienced Hands-On Technical Manager with expertise in big data technologies and multi-cloud platforms to lead our technical team for the financial services industry. The ideal candidate will possess a strong background in big data architecture, cloud computing, and a deep understanding of the financial services industry. As a Technical Manager, you will be responsible for leading technical projects, hands-on development, delivery management, sales and ensuring the successful implementation of data solutions across multiple cloud platforms. This role requires a unique blend of technical proficiency, sales acumen, and presales experience to drive business growth and deliver innovative data solutions to our clients. Responsibilities: Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.) Architect and build scalable and secure data pipelines, data lakes, and data warehouses to support the storage, processing, and analysis of large volumes of structured and unstructured data. Lead and mentor a team of technical professionals in the design, development, and implementation of big data solutions and data analytics projects within the financial services domain. Stay abreast of emerging trends, technologies, and industry developments in big data, cloud computing, and financial services, and assess their potential impact on the organization. Develop and maintain best practices, standards, and guidelines for data management, data governance, and data security in alignment with regulatory requirements and industry standards. Collaborate with the sales and business development teams to identify customer needs, develop solution proposals, and present technical demonstrations and presentations to prospective clients. Collaborate with cross-functional teams including data scientists, engineers, business analysts, and stakeholders to define project requirements, objectives, and timelines. Basic Qualifications: Bachelor's degree or higher in Computer Science, Information Technology, Business Administration, Engineering or related field. Minimum of ten years of overall technical experience in solution architecture, design, hands-on development with a focus on big data technologies, multi-cloud platforms, and with at-least 5 years of experience specifically in financial services. Strong understanding of the financial services industry - capital markets, retail and business banking, asset management, insurance, etc. In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Experience with SQL, Python, Pyspark or other programming languages used for data transformation, analysis, and automation. Excellent communication, presentation, and interpersonal skills, with the ability to articulate technical concepts to both technical and non-technical audiences. Hands-on experience extracting (ETL using CDC, Transaction Logs, Incremental) and processing large data sets for Streaming and Batch data loads. Ability to work from our Hyderabad, India office at least twice a week Preferred Qualifications: Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies. Experience with Power BI, Tableau or other Reporting and Data Visualization tools Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools Education/Experience: Bachelor s degree in MIS, CS, Engineering or equivalent field. Master s degree is CS or MBA is preferred. Advanced Data and Cloud Certifications are a plus.

Job Description: We are looking for a skilled Data / Analytics Engineer with hands-on experience in vector databases and search optimization techniques . You will help build scalable, high-performance infrastructure to support AI-powered applications like semantic search , recommendation systems , and RAG pipelines . Key Responsibilities: Optimize vector search algorithms for performance and scalability. Build pipelines to process high-dimensional embeddings (e.g., BERT , CLIP , OpenAI ). Implement ANN indexing techniques like HNSW , IVF , PQ . Integrate vector search with data platforms and APIs . Collaborate with cross-functional teams (data scientists, engineers, product). Monitor and resolve latency , throughput , and scaling issues. Must-Have Skills: Python AWS Vector Databases (e.g., Elasticsearch , FAISS , Pinecone ) Vector Search / Similarity Search ANN Search Algorithms HNSW , IVF , PQ Snowflake / Databricks Embedding Models – BERT , CLIP , OpenAI Kafka / Flink for real-time data pipelines REST APIs , GraphQL , or gRPC for integration Good to Have: Knowledge of semantic caching and hybrid retrieval Experience with distributed systems and high-performance computing Familiarity with RAG (Retrieval-Augmented Generation) workflows Apply Now if You: Enjoy solving performance bottlenecks in AI infrastructure Love working with cutting-edge ML models and search technologies Thrive in collaborative , fast-paced environments

Required skillset: Experience in Data Platform Support, DevOps, or Operations role. Experience in Tableau, Snowflake, AWS, Informatica Cloud. Familiarity with ITSM practices Proficiency with Jira, CI/CD workflows, and monitoring tools.

The data architect is responsible for designing, creating, and managing an organizations data architecture. This role is critical in establishing a solid foundation for data management within an organization, ensuring that data is organized, accessible, secure, and aligned with business objectives. The data architect designs data models, warehouses, file systems and databases, and defines how data will be collected and organized. Responsibilities Interprets and delivers impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Designs the structure and layout of data systems, including databases, warehouses, and lakes Selects and designs database management systems that meet the organizations needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures Defines and implements the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms Designs processes for the ETL process from various sources into the organizations data systems Translates high-level business requirements into data models and appropriate metadata, test data, and data quality standards Manages senior business stakeholders to secure strong engagement and ensures that the delivery of the project aligns with longer-term strategic roadmaps Simplifies the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company Leads and participates in the peer review and quality assurance of project architectural artifacts across the EA group through governance forums Defines and manages standards, guidelines, and processes to ensure data quality Works with IT teams, business analysts, and data analytics teams to understand data consumers needs and develop solutions Evaluates and recommends emerging technologies for data management, storage, and analytics Design, create, and implement logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models Create entity-relationship diagrams (ERDs), data flow diagrams, and other visualization tools to represent data models Collaborate with database administrators and software engineers to implement and maintain data models in databases, data warehouses, and data lakes Develop data modeling best practices, and use these standards to identify and resolve data modeling issues and conflicts Conduct performance tuning and optimization of data models for efficient data access and retrieval Incorporate core data management competencies, including data governance, data security and data quality Job Requirements Education: A bachelors degree in computer science, data science, engineering, or related field Experience: At least five years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives Experience leading projects involving data warehousing, data modeling, and data analysis Design experience in Azure Databricks, PySpark, and Power BI/Tableau Skills: Ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks) Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architecture components based on business needs Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau Ability to regularly learn and adopt new technology, especially in the ML/AI realm Strong analytical and problem-solving skills Ability to synthesize and clearly communicate large volumes of complex information to senior management of various technical understandings Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholders Ability to guide solution design and architecture to meet business needs Expert knowledge of data modeling concepts, methodologies, and best practices Proficiency in data modeling tools such as Erwin or ER/Studio Knowledge of relational databases and database design principles Familiarity with dimensional modeling and data warehousing concepts Strong SQL skills for data querying, manipulation, and optimization, and knowledge of other data science languages, including JavaScript, Python, and R Ability to collaborate with cross-functional teams and stakeholders to gather requirements and align on data models Excellent analytical and problem-solving skills to identify and resolve data modeling issues Strong communication and documentation skills to effectively convey complex data modeling concepts to technical and business stakeholders

Job Title: Chennai Career Event- Applications invited for Solution Analyst About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the worlds largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet societys evolving needs. Learn more about our What and our Why and how we can work together . ExxonMobils affiliates in India ExxonMobils affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region. ExxonMobil’s affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics. ExxonMobil’s LNG affiliate in India supporting the upstream business provides consultant services for other ExxonMobil upstream affiliates and conducts LNG market-development activities. The Global Business Center - Technology Center provides a range of technical and business support services for ExxonMobil’s operations around the globe. ExxonMobil strives to make a positive contribution to the communities where we operate and its affiliates support a range of education, health and community-building programs in India. Read more about our Corporate Responsibility Framework. To know more about ExxonMobil in India, visit ExxonMobil India and the Energy Factor India. ExxonMobil is organizing scheduled in-person interviews at Chennai on 5th & 6th July 2025 for Solution Analyst . Work Location: Bengaluru (Last date to apply is 27th June 2025) Note: Shortlisted candidates will receive an interview invitation letter from recruiting team What role you will play in team Globally provide support to Procurement organization by assisting in deriving valuable business insights & propose solutions for strategic business planning through visualization by developing and maintaining dashboards. Develop, maintain, and enhance analytical tools and visualizations using various systems like SQL server, Snowflake database, tableau and PowerBI. Job Location: Bangalore, Karnataka, India What you will do Develop, maintain, and enhance dashboards and visualizations for Procurement department capturing the key KPIs and metrics, using analytical tools like Tableau, PowerBI, SQL and Snowflake database. Develop logics & calculations for metrics, build customized insights to support procurement stakeholders on local, regional and global basisCollaborate effectively with Engagement Leads, Procurement commercial and operation Teams, Data Engineering and Procurement Management to understand the requirements and deliver the analytical needs Regularly engage stakeholders to provide status updates and address any potential opportunities with the metrics or data sets. Troubleshoot issues related to data and dashboards as and when needed Prepare technical & functional documentation, Train end-users on new dashboards and reports. About you Requirements: Bachelor’s degree in computer science/Engineer with minimum 6 CGPA with 3-6 years of relevant work experience. Practical experience in analytics & visualization tools– Tableau or PowerBI, databases – SQL & Snowflake and process mining tool – Celonis. Knowledge in data modelling, statistical analysis, and ability to apply machine learning algorithms to predict outcomes and trends. Understanding of Procurement (Source to Pay) processes are preferred. Knowledge on Procurement system and applications like SAP Ariba, SAP Analytics Cloud, S4 HANA & SAP MM would be an added advantage. Should carry Analytical mindset to be able to work with massive amount of data. Utilize storytelling techniques to present data and insights in a way that drives decision-making and inspires action Excellent communication and presentation skills and be able to work in a diverse team environment. Should be self-motivated and to be able to work with minimal supervision. Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India. Follow us on LinkedIn and Instagram Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

We are staffing small, self-contained development teams with people who love solving problems, building high quality products and services. We use a wide range of technologies and are building up a next generation microservices platform that can make our learning tools and content available to all our customers. If you want to make a difference in the lives of students and teachers and understand what it takes to deliver high quality software, we would love to talk to you about this opportunity. Technology Stack You'll work with technologies such as Java, Spring Boot, Kafka, Aurora, Mesos, Jenkins etc. This will be a hands-on coding role working as part of a cross-functional team alongside other developers, designers and quality engineers, within an agile development environment. Were working on the development of our next generation learning platform and solutions utilizing the latest in server and web technologies. Responsibilities: Build high-quality, clean, scalable, and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.) on the team. Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users. Drive the design, prototype, implementation, and scale of cloud data platforms to tackle business needs. Identify ways to improve data reliability, efficiency, and quality. Plan and perform development tasks from design specifications. Provide accurate time estimates for development tasks. Construct and verify (unit test) software components to meet design specifications. Perform quality assurance functions by collaborating with the cross-team members to identify and resolve software defects. Provide mentoring on software design, construction, development methodologies, and best practices. Participate in production support and on-call rotation for the services owned by the team. Mentors less experienced engineers in understanding the big picture of company objectives, constraints, inter-team dependencies, etc. Participate in creating standards and ensuring team members adhere to standards, such as security patterns, logging patterns, etc. Collaborate with project architects and cross-functional team members/vendors in different geographical locations and assist team members to prove the validity of new software technologies. Promote AGILE processes among development and the business, including facilitation of scrums. Have ownership over the things you build, help shape the product and technical vision, direction, and how we iterate. Work closely with your product and design teammates for improved stability, reliability, and quality. Perform other duties as assigned to ensure the success of the team and the entire organization. Run numerous experiments in a fast-paced, analytical culture so you can quickly learn and adapt your work. Promote a positive engineering culture through teamwork, engagement, and empowerment. Function as the tech lead for various features and initiatives on the team. Build and maintain CI/CD pipelines for services owned by team by following secure development practices. Skills & Experience: 5 to 8 years' experience in a relevant software development role Excellent object-oriented design & programming skills, including the application of design patterns and avoidance of anti-patterns. Strong Cloud platform skills: AWS Lambda, Terraform, SNS, SQS, RDS, Kinesis, DynamoDB etc. Experience building large-scale, enterprise applications with ReactJS/AngularJS. Proficient with front-end technologies, such as HTML, CSS, JavaScript preferred. Experience working in a collaborative team of application developers and source code repositories. Deep knowledge of more than one programming language like Node.js/Java. Demonstrable knowledge of AWS and Data Platform experience: Lambda, Dynamodb, RDS, S3, Kinesis, Snowflake. Demonstrated ability to follow through with all tasks, promises and commitments. Ability to communicate and work effectively within priorities. Ability to advocate ideas and to objectively participate in design critiques. Ability to work under tight timelines in a fast-paced environment. Advanced understanding of software design concepts. Understanding software development methodologies and principles. Ability to solve large scale complex problems. Ability to architect, design, implement, and maintain large scale systems. Strong technical leadership and mentorship ability. Working experience of modern Agile software development methodologies (i.e. Kanban, Scrum, Test Driven Development)

Job Title: Chennai Career Event- Applications invited for Engagement Lead About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the worlds largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet societys evolving needs. Learn more about our What and our Why and how we can work together . ExxonMobils affiliates in India ExxonMobil’s affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region. ExxonMobil’s affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics. ExxonMobil’s LNG affiliate in India supporting the upstream business provides consultant services for other ExxonMobil upstream affiliates and conducts LNG market-development activities. The Global Business Center - Technology Center provides a range of technical and business support services for ExxonMobil’s operations around the globe. ExxonMobil strives to make a positive contribution to the communities where we operate and its affiliates support a range of education, health and community-building programs in India. Read more about our Corporate Responsibility Framework. To know more about ExxonMobil in India, visit ExxonMobil India and the Energy Factor India. ExxonMobil is organizing scheduled in-person interviews at Chennai on 5th & 6th July 2025 for Engagement Lead . Work Location: Bengaluru (Last date to apply is 27th June 2025) Note: Shortlisted candidates will receive an interview invitation letter from recruiting team What role you will play in team Globally provide support to Procurement organization by proposing, developing & maintaining dashboards that creates business value. Lead & mentor internal team members for delivering the business results. Job Location: Bangalore, Karnataka, India What you will do Lead the execution of dashboard and insights-related components within the annual value delivery plan and strategic initiatives. Liaison between stakeholders and internal analytics team. Manage data-side system migrations and updates, and ensure timely incorporation of changes into analytics solutions Provide insightful data analysis to support senior stakeholders on local, regional or global basis and communicates complex data analysis in a concise but meaningful manner Actively guide and mentor other members of the team in fulfilling their duties by coaching them on more advance data analysis or on how to develop a clear opportunity set Work closely with the Procurement Manager, Data Engineering team, and other procurement professionals to plan, design, and deliver dashboards that meet the analytical needs of the Procurement organization. Review existing dashboards and visualizations to assess their effectiveness and identify opportunities to improve or better utilize them. Proactively identify data-related challenges, outline clear action plans, share progress with stakeholders, and highlight insights and opportunities within the data. Maintain existing analytics deliverables while driving continuous improvements to boost adoption and impact through effective change management About you Qualifications & Skills: Bachelor’s degree in computer science/Engineer with minimum 6 CGPA, with minimum 6 years of Experience in SQL and Snowflake databases and visualization tools like, Tableau or Power BI At least 3 years’ experience in Procurement Process and systems. Experience in SAP Analytics Cloud, SAP S4 HANA Project management knowledge is an added advantage, to effectively plan, coordinate, and deliver analytics solutions within defined timelines and expectations. Analytical mindset with the ability to work with large datasets and extract valuable insights. Excellent communication and presentation skills, capable of working effectively in a diverse team environment. Minimum 3 years’ experience of leading a team Self-motivated and able to work with minimal supervision Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India. Follow us on LinkedIn and Instagram Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

We are seeking a proactive and technically sound Snowflake Data Architect to design, implement, and optimize scalable data solutions using the Snowflake cloud data platform . The ideal candidate will have strong experience in data modeling, performance tuning, and governance, along with the ability to collaborate with cross-functional teams and contribute to long-term data strategy and architecture. Key Responsibilities: Design, implement, and manage end-to-end data solutions using Snowflake . Define and execute robust data strategies aligned with business needs. Optimize Snowflake environments for performance, cost-efficiency, and scalability. Implement data governance, security controls, and role-based access. Understand and apply modern data management technologies and architectures. Oversee and maintain the organizations data inventory , ensuring accuracy and accessibility. Collaborate with engineering, analytics, and business teams to understand requirements and translate them into technical solutions. Stay up to date with industry trends and continuously improve the organization's data management systems. Key Skills & Technologies: Snowflake: Warehousing, Snowpipe, Streams & Tasks, Virtual Warehouses SQL: Advanced query development and performance optimization ETL/ELT Tools: dbt, Azure Data Factory, Talend, Informatica, Matillion (any) Data Modeling: Star/Snowflake schema, SCDs, normalization Cloud Platforms: AWS (S3, IAM), Azure (Blob, ADF), or GCP Data Governance & Security: RBAC, data cataloging, encryption Scripting (Preferred): Python or Shell Version Control (Git), CI/CD familiarity is a plus Please contact me at nandhana.suresh@deliverycentric.com for additional details.

4+ years of Testing Experience and at least 2 years in ETL Testing and automation Experience of automating ETL flows Experience of development of automation framework for ETL Good coding skills in Python and PytestExpert at Test Data Analysis Test design Good at Database Analytics(ETL or BigQuery) Having snowflake knowledge is a plus Good communication skills with customers and other stakeholders Capable of working independently or with little supervision

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

Experience in designing and developing data pipelines in a modern data stack (Snowflake, AWS, Airflow,DBT etc) Strong experience on Python Over 2+ years of experience in Snowflake and DBT Able to work in afternoon shift and front end the customer independently so that he/she possess strong communication Strong knowledge in Python, DBT, Snowflake, Airflow Ability to manage both structured and unstructured data Work with multiple data sources (APIs, Databases, S3, et) Own design, documentation, and lifecycle management of data pipelines Help implement the CI/CD processes and release engineering for organizations data pipelines Experience in designing and developing CI/CD processes and managing release management for data pipelines Proficient in Python, SQL, Airflow, AWS, Bitbucket, working with APIs and other types of data sources Good to have knowledge in Salesforce Primary skills : AWS Cloud, Snowflake DW, Azure SQL, SQL, Python (Must Have) DBT( Must Have)

Core requirements - Solid SQL language skills Basic knowledge of data modeling Working knowledge with Snowflake in Azure, CI/CD process (with any tooling) Nice to have - Azure ADF ETL/ELT frameworks ER/Studio Really nice to have - Healthcare / life sciences experience GxP processes Sr DW Engineer (in addition to the above) Overseeing engineers while also performing the same work himself/herself Conducting design reviews, code reviews, and deployment reviews with engineers Solid data modeling, preferably using ER/Studio (or equivalent tool is fine) Solid Snowflake SQL optimization (recognizing and fixing poor-performing statements) Familiarity with medallion architecture (raw, refined, published or similar terminology)

We're looking for a Senior Backend Developer who thrives at the intersection of software engineering and data engineering . This role involves architecting and optimizing complex, high-throughput backend systems that power data-driven products at scale. If you have deep backend chops, strong database expertise across RDBMS platforms, and hands-on experience with large-scale data workflows, we'd love to hear from you. Key Responsibilities 1. Leadership Project Delivery Lead backend development teams, ensuring adherence to Agile practices and development best practices. Collaborate across product, frontend, DevOps, and data teams to design, build, and deploy robust features and services. Drive code quality through reviews, mentoring, and enforcing design principles. 2. Research Innovation Conduct feasibility studies on emerging technologies, frameworks, and methodologies. Design and propose innovative solutions for complex technical challenges using data-centric approaches. Continuously improve system design with a forward-thinking mindset. 3. System Architecture Optimization Design scalable, distributed, and secure system architectures. Optimize and refactor legacy systems to improve performance, maintainability, and scalability. Define best practices around observability, logging, and resiliency. 4. Database Data Engineering Design, implement, and optimize relational databases (PostgreSQL, MySQL, SQL Server, etc.). Develop efficient SQL queries, stored procedures, indexes, and schema migrations. Collaborate with data engineering teams on ETL/ELT pipelines , data ingestion, transformation, and warehousing. Work with large datasets , batch processing, and streaming data (e.g., Kafka, Spark, Airflow). Ensure data integrity, consistency, and security across backend and analytics pipelines. Must-Have Skills Backend Development: TypeScript, Node.js (or equivalent backend framework), REST/GraphQL API design. Databases Storage: Strong proficiency in PostgreSQL , plus experience with other RDBMS like MySQL , SQL Server , or Oracle . Familiarity with NoSQL (e.g., Redis, MongoDB) and columnar/OLAP stores (e.g., ClickHouse, Redshift). Awareness on Data Engineering : Hands-on work with data ingestion , transformation , pipelines , and data orchestration tools. Exposure to tools like Apache Airflow , Kafka , Spark , or dbt . Cloud Infrastructure: Proficiency with AWS (Lambda, EC2, RDS, S3, IAM, CloudWatch). DevOps CI/CD: Experience with Docker, Kubernetes, GitHub Actions or similar CI/CD pipelines. Architecture: Experience designing secure, scalable, and fault-tolerant backend systems. Agile SDLC: Strong understanding of Agile workflows, SDLC best practices, and version control (Git). Nice-to-Have Skills Experience with event-driven architectures or microservices . Exposure to data warehouse environments (e.g., Snowflake, BigQuery). Knowledge of backend-for-frontend collaboration (especially with React.js). Familiarity with data cataloging, data governance, and lineage tools. Preferred Qualifications Bachelor's or Master's in Computer Science, Software Engineering, or a related technical field. Proven experience leading backend/data projects in enterprise or startup environments. Strong system design, analytical, and problem-solving skills. Awareness of cybersecurity best practices in cloud and backend development.

Were looking for a skilled Node.js Developer with a strong foundation in data engineering to join our engineering team. Youll be responsible for building scalable backend systems using modern Node.js frameworks and tools, while also designing and maintaining robust data pipelines and integrations. Primary Responsibilities: Build and maintain performant APIs and backend services using Node.js and frameworks like Express.js, NestJS, or Fastify. Develop and manage ETL/ELT pipelines, data models, schemas, and data transformation logic for analytics and operational use. Ensure data quality, integrity, and consistency through validation, monitoring, and logging. Work with database technologies (MySQL, PostgreSQL, MongoDB, Redis) to store and manage application and analytical data. Implement integrations with third-party APIs and internal microservices. Use ORMs like Sequelize, TypeORM, or Prisma for data modeling and interaction. Write unit, integration, and E2E tests using frameworks such as Jest, Mocha, or Supertest. Collaborate with frontend, DevOps, and data engineering teams to ship end-to-end features. Monitor and optimize system performance, logging (e.g., Winston, Pino), and error handling. Contribute to CI/CD workflows and infrastructure automation using tools like PM2, Docker and Jenkins. Required Skills: 3+ years of experience in backend development using Node.js. Hands-on experience with Express.js, NestJS, or other Node.js frameworks. Understanding of data modelling, partitioning, indexing, and query optimization. Experience in building and maintaining data pipelines, preferably using custom Node.js scripts. Familiarity with stream processing and messaging systems (e.g., Kafka, RabbitMQ, or Redis Streams). Solid understanding of SQL and NoSQL data stores and schema design. Strong knowledge of JavaScript and preferably TypeScript. Familiarity with cloud platforms (AWS/GCP/Azure) and services like S3, Lambda, or Cloud Functions. Experience with containerized environments (Docker) and CI/CD. Experience with data warehouses (e.g., BigQuery, Snowflake, Redshift). Nice To Have: Cloud Certification in AWS or GCP. Experience with distributed processing tools (eg. Spark, Trino/Presto) Experience with Data Transformation tool (ex. DBT, SQLMesh) and Data Orchestration (ex. Apache Airflow, Kestra etc) Familiarity with Serverless architectures and tools like Vercel/Netlify for deployment