64 Sas Di Jobs

Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters SAS DeveloperWe are looking for a skilled SAS Developer to join our development team.Responsibilities: Develop and maintain SAS programs using Base SAS, SAS EG and SAS Macros to support AML models and compliance reporting Design and support ETL workflows to extract, clean, transform, and load data from various sources Support development and tuning of AML rules, thresholds, and scoring logic Troubleshoot issues, identify data anomalies, and implement corrective fixes or enhancements Collaborate with model developers, compliance analysts, and other agile members to deploy model updates Participate in testing, UAT, and deployment of new or updated models Key Requirements: Bachelor's degree in Computer Science or a technical related field 3-5+ years of hands-on experience with SAS EG, Base SAS and SAS Macros 5+ years of experience working with ability to write, tune, and debug complex queries Experience with scripting and automation Strong experience with CI/CD tools such as GitHub Actions, Harness Solid understanding of Agile methodologies and experience working in Scrum teams Ability to troubleshoot, debug, and optimize backend systems at scale Mandatory Skills: SAS DI . Experience: 3-5 Years .

As a SAS DI Developer, your primary responsibility will be to design, develop, and maintain ETL processes using SAS Data Integration Studio. You will also be expected to develop and optimize SAS Base and SAS Macro programs for data extraction, transformation, and loading. Collaborating with data analysts, business users, and architects to understand data requirements and deliver appropriate solutions will be a key aspect of your role. Additionally, you will perform data validation, quality checks, and troubleshoot issues related to data loads. Maintaining and enhancing existing SAS jobs, scheduling dependencies, and ensuring timely data delivery will also be part of your duties. It will be essential for you to implement performance tuning techniques for SAS jobs and SQL queries, as well as work with RDBMS (e.g., Oracle, SQL Server, Teradata) for data extraction and integration. Participation in code reviews, documentation, and support activities, along with collaborating with QA teams to assist in testing and resolving data discrepancies, will be crucial. Ensuring compliance with data governance and security standards will be a key factor in your daily tasks. Your qualifications should include 3-4 years of professional experience with SAS DI Studio. Proficiency in SAS Base, SAS Macros, SQL, and SAS Enterprise Guide is a must. A strong understanding of ETL concepts, data modeling, and data warehousing best practices is highly desired. Experience with relational databases like Oracle, Teradata, or SQL Server is essential. You should possess the ability to analyze large datasets and troubleshoot data-related issues effectively. Familiarity with job scheduling tools (e.g., Control-M, Autosys) would be an added advantage. Knowledge of data governance, lineage, and metadata management is also important. Excellent problem-solving and analytical skills, along with strong verbal and written communication skills, are required for this role. Preferred qualifications for this position include experience with SAS Grid, SAS Viya, or other advanced SAS environments. Familiarity with Agile methodologies and tools like Jira is a plus. Please note that the company's additional details were not provided in the job description.,

About The Role Skill required: Delivery - Predictive Modeling and Analytics Designation: I&F Decision Sci Practitioner Analyst Qualifications: Any Graduation Years of Experience: 3 - 5 Years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Data & AIIn Predictive Modeling and Analytics, you will be using statistical techniques from predictive modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future or otherwise unknown events. What are we looking for? Banking, Financial Services Banking Fundamentals Wholesale Banking Secured and Unsecured lending Programming skills in SAS, SQL, Python, Cloud tools (Snowflake, Talend, Matillion, SAS Viya, and etc Data Science Utilize data modeling techniques to develop efficient models for reporting Identify and establish key performance indicators (KPIs) and key risk indicators (KRIs) to guide strategic business decisions Perform advanced analytics including time series forecasting, regression analysis, decision trees, and cohort analysis Adaptable and flexible Agility for quick learning Ability to work well in a team Problem-solving skills Strong analytical skillsData Visualization - Tableau and Qliksense Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation

About The Role JR: R00208204 Experience: 10-12Years Educational Qualification: Any Degree --------------------------------------------------------------------- Job Title - S&C- Data and AI - CFO&EV Quantexa Platform(Assoc Manager) Management Level: 8-Associate Manager Location: Pune, PDC2C Must-have skills: Quantexa Platform Good to have skills: Experience in financial modeling, valuation techniques, and deal structuring. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU? Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the worlds most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. Youll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Lead client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of fraud analytics/management solutions for Accentures clients. Advise clients on a wide range of Fraud Management/ Analytics initiatives. Projects may involve Fraud Management advisory work for CXOs, etc. to achieve a variety of business and operational outcomes. Develop and frame Proof of Concept for key clients, where applicable Practice Enablement Mentor, groom and counsel analysts and consultants. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Fraud Analytics and Management Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. Travel:Willingness to travel up to 40% of the time Professional Development Skills: Project Dependent Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Advanced skills in development and validation of fraud analytics models, strategies, visualizations. Understanding of new/ evolving methodologies/tools/technologies in the Fraud management space. Expertise in one or more domain/industry including regulations, frameworks etc. Experience in building models using AI/ML methodologies Modeling:Experience in one or more of analytical tools such as SAS, R, Python, SQL, etc. Knowledge of data processes, ETL and tools/ vendor products such as VISA AA, FICO Falcon, EWS, RSA, IBM Trusteer, SAS AML, Quantexa, Ripjar, Actimize etc. Proven experience in one of data engineering, data governance, data science roles Experience in Generative AI or Central / Supervisory banking is a plus. Strong conceptual knowledge and practical experience in the Development, Validation and Deployment of ML/AL models Hands-on programming experience with any of the analytics tools and visualization tools (Python, R, PySpark, SAS, SQL, PowerBI/ Tableau) Knowledge of big data, ML ops and cloud platforms (Azure/GCP/AWS) Strong written and oral communication skills Project management skills and the ability to manage multiple tasks concurrently Strong delivery experience of short and long term analytics projects Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 10-12Years Educational Qualification: Any Degree

As a Python Developer joining our team in partnership with a renowned financial institution, you will be responsible for analyzing existing SAS DI pipelines and SQL-based transformations. Your role will involve translating and optimizing SAS SQL logic into Python code using frameworks like Pyspark. You will play a crucial part in developing and maintaining scalable ETL pipelines using Python on AWS EMR, implementing data transformation, cleansing, and aggregation logic to meet business requirements. Your expertise will be utilized to design modular and reusable code for distributed data processing tasks on EMR clusters. You will also be integrating EMR jobs with upstream and downstream systems, including AWS S3, Snowflake, and Tableau, as well as developing Tableau reports for business reporting purposes. To excel in this role, the following skills are mandatory: - A minimum of 6 years of experience in ETL development, with at least 5 years of hands-on experience with AWS EMR. - A Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. - Proficiency in Python for data processing and scripting. - Strong SQL skills and experience with one or more ETL tools such as SAS DI or Informatica. - Hands-on experience with AWS services such as EMR, S3, IAM, VPC, and Glue. - Familiarity with data storage systems like Snowflake or RDS. - Excellent communication skills and the ability to work collaboratively in a team environment. - Strong problem-solving skills and the capability to work independently.,

Warm Greetings from SP Staffing Services!!! We have an urgent opening from our client for the position below. Location: Bangalore Total exp: 5+ yrs, Rel exp: 4+ rys JD - Strong hands-on experience in Base SAS programming • Working knowledge of SAS DI Studio and SAS Viya • Expertise in SAS Macros, SAS PROC, and SAS lib name usage • Solid proficiency in SQL for data manipulation and analysis • Good understanding of ETL concepts and data flow architecture • Effective problem-solving and communication skills • Good to have knowledge on Data Bricks, DBT If you are interested, please share your updated resume with preetha.m@spstaffing.in or 7358295265

We are looking for a skilled and detail-oriented SAS Developer with 35 years of experience, proficient in SAS Visual Analytics (VA), Visual Investigator (VI), and Data Integration (DI). The candidate will work on high-impact projects for international clients, supporting solutions across business domains such as banking, financial services, and insurance. The ideal candidate should be open to working in international time zones when assigned to remote projects. Key Responsibilities: Develop, enhance, and maintain SAS solutions using SAS VA, SAS VI, and SAS DI. Perform data extraction, transformation, and loading (ETL) processes using SAS DI Studio. Create interactive dashboards and reports using SAS Visual Analytics. Collaborate with business analysts, project managers, and end users to gather requirements and deliver technical solutions. Troubleshoot and optimize existing SAS code and processes for performance and scalability. Ensure data quality and integrity in reporting and analysis tasks. Support deployment, testing, and validation of SAS components. Work independently or as part of a team for global delivery in international client engagements. Follow best practices in documentation, version control, and development standards. Qualifications: 3 to 5 years of hands-on experience in SAS development. Strong experience in SAS VA (Visual Analytics), SAS VI (Visual Investigator), and SAS DI (Data Integration). Good understanding of data warehousing concepts and ETL development. Familiarity with SQL and database platforms like Oracle, Teradata, or SQL Server. Excellent problem-solving skills and attention to detail. Strong communication and client interaction skills. Ability to work in international time zones (e.g., US, UK, or Middle East) when assigned remote projects. Bachelor's degree in Computer Science, Information Systems, or related field. Good to Have: Experience working in banking or credit risk domains. Exposure to cloud-based SAS solutions (e.g., SAS Viya). Remote: Open for international client projects (must be flexible with working hours) Joining: Immediate to 30 days preferred

Roles and Responsibilities Develop ETL jobs and integrate SAS Data Quality platform to ensure data accuracy and completeness. Design and implement various transformations in SAS DI Studio to extract, transform, and load data. Perform data validation, quality checks, and error handling tasks to maintain high data integrity. Implement Type I and Type II handling in ETL processes to manage data history and updates efficiently. Extract and load data from various databases, including Oracle, MySQL, and Teradata. Optimize ETL/ELT jobs for performance and efficiency, ensuring they meet the defined service level agreements (SLAs). Utilize SAS programming, including Macros and Enterprise Guide, to develop and maintain data management solutions. Schedule jobs using LSF and Cron-tab for efficient task execution and resource management. Work with SAS BI platform and UNIX operating systems to support data management and reporting needs. Collaborate with cross-functional teams to gather requirements and implement solutions that meet business objectives. Travel within India and abroad for project implementations as required. Qualifications and Requirements B.E/ BTech/ MTech/ MCA/MBA. 3-8 years of experience in SAS programming and SAS Data Integration Server. Strong understanding of ETL concepts and experience in developing ETL jobs. Hands-on experience with data validation, data quality, and error handling techniques. Proficiency in working with various databases and extracting data using SQL queries. Experience in performance tuning and optimization of ETL/ELT jobs. Knowledge of SAS programming, including Macros and Enterprise Guide. Familiarity with scheduling tools such as LSF and Cron-tab. Exposure to SAS BI platform and UNIX operating systems is a plus. Willingness to travel for project implementations within India and internationally. Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams.

We are seeking a skilled SAS Developer Team Lead with strong expertise in SAS Data Integration (DI), SAS Visual Analytics (VA), and SAS Management Console (SMC). The ideal candidate will have hands-on experience in ETL development, data visualization, and metadata management, along with a proven track record of leading technical teams. Experience in delivering projects within the BFSI and Government sectors is essential. Key Responsibilities: Lead and mentor a team of SAS developers to achieve project goals. Design, develop, and optimize ETL workflows using SAS DI Studio. Create and manage interactive dashboards and reports using SAS Visual Analytics (VA). Oversee user roles, libraries, and metadata through SAS Management Console (SMC). Coordinate with clients and internal stakeholders to gather requirements and ensure timely project execution. Conduct code reviews to maintain coding standards and promote best practices. Monitor performance, troubleshoot issues, and ensure data quality and system stability. Qualifications: 3 to 5 years of hands-on experience in SAS DI, VA, and SMC. Strong understanding of data warehousing concepts and ETL design. Experience in BFSI and/or Government projects is a must. Prior experience in leading and mentoring a team. Excellent communication and client-handling skills. Preferred: SAS certifications are an added advantage.

Job Overview: We are looking for a proficient DataFlux Software Developer to spearhead the conversion of existing DataFlux jobs to Informatica Intelligent Cloud Services (IICS). The successful candidate will have solid experience with DataFlux application development and a keen interest in data migration projects. Experience with IICS is a plus, as it will facilitate the transition to modern cloud-based data integration solutions. Key Responsibilities: Analyze current DataFlux jobs to understand their logic, components, and data processing workflows. Collaborate with the data integration team to design efficient migration strategies to transform DataFlux jobs into IICS workflows. Develop, test, and implement solutions to ensure the accurate and efficient migration of data processes. Work closely with stakeholders to understand requirements and provide technical guidance throughout the migration process. Ensure data integrity and maintain high standards of data quality during the conversion activities. Document conversion processes, best practices, and provide training materials for future reference. Skill Requirements: Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent work experience. Strong expertise in developing and managing jobs using DataFlux frameworks. Proven analytical skills with the ability to interpret complex job structures and flows within DataFlux. Familiarity with data transformation concepts and cloud migration strategies. Experience with Informatica Intelligent Cloud Services (IICS) is an advantage, enhancing migration efficiency. Solid understanding of SQL, data modeling, and integration principles. Ability to troubleshoot and resolve issues promptly and effectively. Excellent communication skills and ability to work as part of a collaborative team. Preferred Qualifications: Previous experience in data migration projects from legacy systems to cloud-based platforms. Certification in relevant data integration technologies. Experience with scripting languages like Python or Shell for process automation. Become a key player in our tech transformation journey by joining us as we upgrade our data capabilities and integrate state-of-the-art cloud solutions!

Manage and maintain document structures in SAP in accordance with organizational standards and quality management systems. Handle and organize various document types including: o Product-related service documents o Process-related documents (e.g., Work Instructions, Training Documents) Support change management activities and coordinate new version releases to ensure that updated documents are properly made available in the system. Ensure accuracy and completeness of document configuration in SAP across all stages of the document lifecycle. Collaborate with key stakeholders such as: o Document Authors o Process Managers o Document Administrators o Training (Learn4U) Administrators Apply sound knowledge of Microsoft Word, including the use of macros for formatting and efficiency. Ensure proper version control, storage, and retrieval of documentation. Support audits and inspections by ensuring document readiness and compliance with applicable standards. Qualifications & Skills Bachelors degree or equivalent 2-3 years of experience in document management activities, preferably in a regulated industry. Strong working knowledge of SAP Document Management System (DMS). Proficiency in Microsoft Word, including experience with macros. Good understanding of the document control process and a general understanding of the quality mgmt. system Attention to detail Excellent organizational and communication skills. Ability to work independently and collaboratively within a team environment. Prior experience in the Healthcare or Medical Device domain is highly desirable.

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset. Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset. Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset. Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset. Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset. Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset . Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset . Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset . Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset. Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset. Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Sas Data Integration, Sas DI Studio 4.9 Data virtualization

Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Minimum 3-5 years of work experience in SAS EG and SAS CI Hands on experience in data transferring from different sources to SAS database Expertise in Data Step and Proc Step including merge statement , proc sql and macros , SAS functions Experience in automation and SAS reporting Good communication skill is must. Candidate should independently work deliver the project work as well as deal with client . Location : Any Infosys DC in India Preferred Skills: Technology->ETL & Data Quality->ETL & Data Quality - SAS->SAS - SAS Data Integration Studio

You should have a strong hands-on experience in SAS Macros, SAS DI, and SAS Enterprise Guide (EG). It is essential to have a good understanding of SAS DI Studio and Database Concepts. Proficiency in automating MIS / Dashboards using SAS is required. Familiarity with SAS VIYA and SQL will be an advantage. Prior experience in the banking domain is preferred. Your responsibilities will include developing and automating reports based on business requirements. You will be working with large datasets to enhance the performance of SAS codes. Adapting and enhancing existing SAS logic for new needs is crucial. Ensuring timely and efficient delivery of MIS dashboards and analytics is a key part of the role. The ideal candidate should hold a Full-time Graduate (B.Tech/B.E.) or Postgraduate (M.Tech/M.E.) degree. We are looking for individuals with excellent communication and interpersonal skills. The ability to multitask and deliver results within tight timelines is essential. This role is based in Mumbai. This is a Contractual / Temporary position with a Day shift schedule. Candidates with at least 3 years of experience in SAS will be preferred. Please note that the work location is in person.,

Hi, We are hiring for one of our client company based from Ahmedabad,Gujarat. Job Title :- SAS Developer Experience :- 2 to 5 years Location:- PAN INDIA (Willing to relocate) Job Description Looking for a SAS Developer with experience to build SAS programs, reports, and dashboards for banking analytics (credit risk, compliance, fraud, customer behavior). Key Skills: SAS Base, Macros, SQL, DI, VA, Viya RDBMS: Oracle, SQL Server, Teradata Data validation, analytics, reporting Banking data models & regulatory reporting Good communication & teamwork