31 Sas Di Jobs

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

We are hiring for one of our client an IT company based from Ahmedabad,Gujarat Job Title :- SAS Developer Experience: 2 to 5 years Location:- PAN INDIA (willing to relocate) Required Candidate profile SAS Base, Macros, SQL, DI, VA, Viya RDBMS: Oracle, SQL Server, Teradata Data validation, analytics, reporting Banking data models & regulatory reporting SAS Enterprise Guide, AML/KYC

VAM Systems is a Business Consulting, IT Solutions, and Services company that is currently seeking a Data Engineering Analyst for our Bahrain operations. As a Data Engineering Analyst, you will be responsible for supporting the finance team on data and analytics activities and Dataware House (DWH) based on your profound knowledge of banking, financial reporting, and data engineering. To qualify for this role, you must have a Bachelor's Degree in Engineering (B.E.) or MCA, along with a certification in SQL/SAS. Additionally, you should have 5-8 years of experience in the field. Your key objectives will include understanding finance and risk reporting systems/workflow, participating in system implementation, and having hands-on experience with MS Excel. Project management and stakeholder management skills are desired for this position. Your responsibilities will involve coordinating and interacting with the finance business partner to support daily finance data analysis, hierarchical mappings, and root cause analysis of identified data issues. You will also be responsible for ensuring accurate and reconciled reporting, conducting data quality reviews, and supporting the finance team in ad-hoc requests and organizing data for financial/regulatory reports. You will play a crucial role in maintaining the consistency of the bank's data architecture, data flows, and business logic. This will involve working closely with Finance and data Engineering teams to identify issues and develop sustainable data-driven solutions. Your expertise in writing and documenting complex SQL Query, Procedures, and functions will be essential in automating important financial interactions and data controls. Experience in handling SAS ETL jobs, data transformation, validation, analysis, and performance tuning is required for this role. Strong experience in SAS Management Console, SAS DI, SAS Enterprise Guide, Base SAS, SAS Web Report Studio, SAS Delivery Portal, SAS OLAP Cube Studio, SAS Information Maps, SAS BI, SAS Stored Process, SAS Datasets & Library is also expected. If you are interested in this opportunity, please send your latest resume to ashiq.salahudeen@vamsystems.com. Joining time frame is between 15-30 days, and the selected candidates will join VAM Systems Bahrain and shall be deputed to one of the leading banks in Bahrain.,

As a Data Engineer in our organization, you will leverage your expertise in specialized tools such as Python, Dataiku, Spark, and SAS DI to support our clients in their Data and Analytics journey. Your responsibilities will involve designing and implementing data integration solutions, optimizing data workflows, and collaborating with cross-functional teams to ensure successful project delivery. Your key activities will include understanding and defining data initiatives based on business needs, developing and implementing data integration solutions, and conducting performance tuning and optimization of queries and data models. You will also be involved in database design and implementation, ensuring data quality and consistency across the data warehouse. Collaboration and communication are crucial aspects of this role as you will work closely with clients and internal teams to gather requirements, troubleshoot data-related issues, and provide technical support to the development team. Additionally, you will be responsible for driving the project as a technical lead, managing end-to-end project deliverables, and ensuring seamless collaboration with clients. Essential skills for this position include experience with data engineering tools, strong SQL proficiency, BI knowledge, and the ability to convert business requirements into technical specifications. Desirable skills include analytical capabilities for data analysis and experience with BI tools like Microstrategy and Power BI. To qualify for this role, you should have at least 3 years of experience in designing and developing data integration solutions, along with technical certifications that demonstrate your commitment to continuous learning. Your qualities should include the ability to influence change confidently, tackle problems systematically, and collaborate effectively in self-organized, cross-functional teams. If you have a passion for data engineering and a drive to excel in a dynamic work environment, we invite you to join our team and contribute to our clients" success in the realm of Data and Analytics.,

Job Title:SAS Administrator ExperienceYearsLocation:Bangalore : Minimum 5+ years of experienced SAS Administrator with expertise in both SAS 9.4 and SAS Viya environments. Technical Skills: Strong experience with SAS 9.4 and SAS Viya administration. Proficiency in Linux/Unix and Windows operating systems. Knowledge of SAS Grid Manager, SAS Studio, SAS Enterprise Guide, and SAS Visual Analytics. Familiarity with cloud platforms (AWS, Azure, or GCP) for SAS Viya deployments. Hands-on experience in implementing and configuring SAS solutions. Understanding of data integration, ETL processes, and database connectivity (e.g., Oracle, Sybase, SQL Server & Hadoop). Responsibilities: Design and implement SAS solutions based on business requirements. Collaborate with stakeholders to gather requirements and translate them into technical solutions. Deploy and configure SAS applications, including integration with other systems. System Monitoring & Troubleshooting Monitor SAS servers, logs, and processes to identify and resolve issues proactively. Troubleshoot and resolve performance bottlenecks, errors, and system failures. Provide root cause analysis and implement preventive measures. Security & Compliance Ensure SAS environments comply with organizational security policies and standards. Implement encryption, authentication, and authorization mechanisms. Conduct regular audits and apply security patches. Documentation & Training Create and maintain detailed documentation for SAS environments, configurations, and processes. Provide training and support to end-users and team members. Develop best practices and standard operating procedures for SAS administration. Collaboration & Support Work closely with IT teams, data scientists, and business analysts to support SAS-related projects. Assist in data integration, ETL processes, and reporting tasks. Provide on-call support for critical issues and scheduled maintenance

As a Data Engineer, you will be responsible for leveraging your specialized skills in data engineering tools such as Python, Dataiku, Spark, and SAS DI to support our clients in their Data and Analytics journey. Working closely with clients, you will drive data initiatives, design and implement data integration solutions, optimize data workflows, and ensure data quality and consistency across the data warehouse. Your key responsibilities will include collaborating with clients to define data initiatives based on business needs, developing and maintaining automated data pipelines, conducting performance tuning and optimization of queries and data models, and designing and implementing database objects. You will also work with cross-functional teams to gather requirements, troubleshoot and resolve data-related issues, and provide technical support to the development team. To excel in this role, you must possess experience with data engineering tools such as Python, Dataiku, Spark, and SAS data integration, along with strong SQL skills. Knowledge of the banking domain and experience with BI tools like Microstrategy and Power BI would be advantageous. Additionally, you should have a solid understanding of data modeling concepts, excellent analytical skills, and the ability to communicate effectively with business users to translate their requirements into technical specifications. The ideal candidate will have 3+ years of experience in designing and developing efficient data integration solutions, along with technical certifications that demonstrate a commitment to continuous learning. You should be adept at problem-solving, influencing change, and working effectively in self-organized, cross-functional teams. Proficiency in English and strong communication skills are essential for collaborating with clients across geographies and presenting technical information persuasively. If you are enthusiastic about data engineering and possess the necessary skills and qualities to drive data initiatives, optimize data workflows, and collaborate seamlessly with clients, we invite you to join our team in Bangalore or Chennai on a full-time basis.,

Project description We are looking for the star Python Developer who is not afraid of work and challenges! Gladly becoming a partner with famous financial institution, we are gathering a team of professionals with wide range of skills to successfully deliver business value to the client. Responsibilities Analyse existing SAS DI pipelines and SQL-based transformations. Translate and optimize SAS SQL logic into Python code using frameworks such as Pyspark. Develop and maintain scalable ETL pipelines using Python on AWS EMR. Implement data transformation, cleansing, and aggregation logic to support business requirements. Design modular and reusable code for distributed data processing tasks on EMR clusters. Integrate EMR jobs with upstream and downstream systems, including AWS S3, Snowflake, and Tableau. Develop Tableau reports for business reporting. Skills Must have 6+ years of experience in ETL development, with at least 5 years working with AWS EMR. Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Proficiency in Python for data processing and scripting. Proficient in SQL and experience with one or more ETL tools (e.g., SAS DI, Informatica)/. Hands-on experience with AWS servicesEMR, S3, IAM, VPC, and Glue. Familiarity with data storage systems such as Snowflake or RDS. Excellent communication skills and ability to work collaboratively in a team environment. Strong problem-solving skills and ability to work independently. Nice to have N/A

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 Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities 2. Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders 3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally Mandatory Skills: SAS DI. Experience: 3-5 Years.

Educational 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

Role & responsibilities Job Profile: 1. Experience with the SAS Visual Analytics (VA) on Platform and SAS Viya on VA 2. Design and develop technical solutions to a pre-defined requirement and develop components including Dashboards and Reports 3. Development of reports, visualisations and explorations aligning with best practices to deploy reports with optimal performance Preferred candidate profile Perks and benefits

We are looking for a skilled SAS DI Support Analyst with strong experience in SAS Data Integration (DI) Studio, Base SAS, and SQL to join our data engineering and support team. The ideal candidate will have 1 to 3 years of experience and be based in Mumbai. Roles and Responsibility Provide production support for existing SAS DI jobs and data workflows. Perform root cause analysis of job failures and resolve performance or data quality issues. Maintain and enhance Base SAS and SQL code to ensure optimal data processing and reporting. Monitor data pipelines and ensure timely and accurate data loads. Collaborate with data analysts, developers, and business stakeholders to gather requirements and resolve support issues. Document technical processes, job flows, and solutions for support continuity. Job Strong hands-on experience with SAS DI Studio. Proficiency in Base SAS programming and SQL (including complex joins, subqueries, and performance tuning). Experience in supporting and maintaining ETL workflows and resolving job failures. Knowledge of data warehousing concepts and data integration best practices. Working knowledge of Linux/Unix, including basic commands and shell scripting. Familiarity with job scheduling tools like Control-M, Autosys, or similar. Exposure to version control systems (e.g., Git, SVN).

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Base SAS Certified professional.Develop, implement, and optimize analytical models using SAS and SQL.Strong Knowledge within SAS DI,SAS EG, SAS BI tools.Analyze large datasets to derive actionable insights and support business decision-making.Design, implement, and maintain ETL workflows to extract, transform, and load data efficiently.Develop advanced SAS programs using SAS Macros for automation and data processing.Troubleshoot and optimize SAS code for performance improvements.Work on data warehousing projects to enable efficient data storage and retrieval.Basic Unix Scripts related Knowledge.JL5B- 8+ Years of ExperienceAdvanced SAS Certified with 5+Worked on Min 2SAS Migration Projects execution.Strong Knowledge within SAS DI,SAS EG, SAS BI tools.SAS Migration Projects to SAS Scripts to Python, Pyspark, Databricks, ADF and Snowflake etc.Good Knowledge within SAS VIYA 3.4,4.0 platforms.Good Knowledge on SAS- SMC, LSF and other Schedulers Basic Knowledge on SAS Admin information, Basic SAS Grid level Knowledge.Good Unix commands, Scripts related Knowledge.Handle case studies or complex data scenarios, ensuring data quality and integrity.Develop advanced SAS programs using SAS Macros for automation and data processing.Troubleshoot and optimize SAS code for performance improvements.Collaborate with the data engineering team to build and manage robust data pipelines.Work on data warehousing projects to enable efficient data storage and retrieval.Present findings and insights clearly to both technical and non-technical stakeholders.Work closely with teams across departments to gather requirements and deliver solutions Technical and Professional : Min 5+ years in the analytics domain, with a strong portfolio of relevant projects.Proficiency in SAS, SAS Macros, and SQL.Hands-on experience in ETL processes and tools.Knowledge of data engineering concepts and data warehousing best practices. Preferred Skills: Technology-Reporting Analytics & Visualization-SAS Enterprise Guide

6-8 years of experience with at least 4 years of experience in test automation. Prior automation experience is a must. Familiarity with Python for test automation and scripting. Minimum 6 years of experience in QA/testing, with a focus on payments, ETL and data engineering projects. Excellent communication skills to work effectively with cross-functional teams. Good to Have: 6-8 years of experience in Payments/SWIFT/ISO/ ETL testing. Strong SQL skills for querying, comparing, and validating large datasets. Experience in testing ETL pipelines and data transformations- Prior experience testing ETL migrations from legacy systems like SAS DI to modern platforms is a plus. Hands-on experience with cloud platforms, particularly AWS services like S3, EMR, and PostgreSQL on AWS. Knowledge of SAS DI is highly desirable for understanding legacy pipelines.

We have Immediate Openings on SAS ADMIN for Contract to Hire role for multiple clients. Skills SAS ADMIN Experience 8+Years Location Hyderabad Job type Contract to HIRE IDESLABS - Job Description : Install, configure, and maintain SAS software and related products. - Monitor SAS servers, services, and jobs to ensure optimal performance and availability. - Implement and maintain security measures and access controls for SAS environments. - Manage SAS metadata including users, groups, roles, and permissions. - Troubleshoot SAS platform issues and provide timely resolution. - Plan and execute SAS software upgrades and patches. - Collaborate with SAS developers, analysts, and users to deploy applications and solutions. - Develop and maintain documentation related to SAS configurations, processes, and procedures. - Provide technical support and training to SAS users as needed. - Stay current with SAS technologies, updates, and best practices. Requirements: - Proven experience as a SAS Administrator or in a similar role. - Strong knowledge of SAS architecture and components. - Experience with SAS Management Console, SAS Metadata Server, and SAS Grid Computing. - Proficiency in scripting languages (e.g., Shell scripting, Python) for automation tasks. - Familiarity with database management systems (DBMS) and SQL. - Excellent problem-solving skills and attention to detail. - Strong communication and interpersonal skills. Preferred Qualifications: - 6+ years of real time experience in SAS with linux (Must) - SAS Certified Platform Administrator for SAS 9 . - Experience with SAS architecture and administration. - Knowledge of SAS security practices and standards. - Familiarity with SAS integration with other enterprise systems (e.g., LDAP, Active Directory). - Experience with performance tuning and optimization of SAS applications

Urgent Requirement for SAS Admin location Hyderabad Notice Period immediate Mode of work Hybrid Employment Type C2H JD We are seeking an experienced SAS Administrator to join our team. As a SAS Admin, he/she will be responsible for the administration, maintenance, and support of our SAS platform. He/she will collaborate closely with stakeholders to ensure the SAS environment is optimized for performance, reliability, and security. Mandatory Skills SAS Admin

Project description We are looking for the star Python Developer who is not afraid of work and challenges! Gladly becoming a partner with famous financial institution, we are gathering a team of professionals with wide range of skills to successfully deliver business value to the client. Responsibilities Analyse existing SAS DI pipelines and SQL-based transformations. Translate and optimize SAS SQL logic into Python code using frameworks such as Pyspark. Develop and maintain scalable ETL pipelines using Python on AWS EMR. Implement data transformation, cleansing, and aggregation logic to support business requirements. Design modular and reusable code for distributed data processing tasks on EMR clusters. Integrate EMR jobs with upstream and downstream systems, including AWS S3, Snowflake, and Tableau. Develop Tableau reports for business reporting. Skills Must have 6+ years of experience in ETL development, with at least 5 years working with AWS EMR. Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Proficiency in Python for data processing and scripting. Proficient in SQL and experience with one or more ETL tools (e.g., SAS DI, Informatica)/. Hands-on experience with AWS servicesEMR, S3, IAM, VPC, and Glue. Familiarity with data storage systems such as Snowflake or RDS. Excellent communication skills and ability to work collaboratively in a team environment. Strong problem-solving skills and ability to work independently. Nice to have N/A Other Languages EnglishB2 Upper Intermediate Seniority Senior

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.

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.

Look for this skills - SAS Developer / SAS Analyst , Base SAS, Advance SAS, SAS/ Macro, SAS/Connect, SAS/ Access, SAS/SQL, SAS ODS, SAS BI, SAS AML, SAS Viya, SAS DI, ETL, SAS AML,SAS ALM,SAS

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

Job Summary: We are seeking a SAS Data Integration Developer to design, develop, and maintain Campaign Management Data Mart (CMDM) solutions, integrate multiple data sources, and ensure data quality for marketing analytics and campaign execution. Key Responsibilities: Data Integration & ETL Development o Develop data ingestion, transformation, and deduplication pipelines. o Standardize, cleanse, and validate large-scale customer data. o Work with GaussDB, SAS ESP, APIs, and SAS DI Studio for data processing. Master Data Management (CMDM) Configuration o Implement unification & deduplication logic for a single customer view. o Develop and manage data masking & encryption for security compliance. API & CI360 Integration o Integrate CMDM with SAS CI360 for seamless campaign execution. o Ensure API connectivity and data flow across platforms. Testing & Deployment o Conduct Unit, Integration, and UAT Testing. o Deploy CMDM solutions to production and provide knowledge transfer. Key Skills Required: SAS Data Integration Studio (SAS DI Studio) Design, develop, and maintain Campaign Management Data Mart (CMDM) Data Management (SAS Base, SQL, Data Cleansing) SAS ESP, GaussDB, and API Integration Data Governance (RBAC, GDPR, PII Compliance) Data Masking & Encryption Techniques.

The first Data Engineer specializes in traditional ETL with SAS DI and Big Data (Hadoop, Hive). The second is more versatile, skilled in modern data engineering with Python, MongoDB, and real-time processing.

Job Summary: We are seeking a SAS Data Integration Developer to design, develop, and maintain Campaign Management Data Mart (CMDM) solutions, integrate multiple data sources, and ensure data quality for marketing analytics and campaign execution. Key Responsibilities: Data Integration & ETL Development o Develop data ingestion, transformation, and deduplication pipelines. o Standardize, cleanse, and validate large-scale customer data. o Work with GaussDB, SAS ESP, APIs, and SAS DI Studio for data processing. Master Data Management (CMDM) Configuration o Implement unification & deduplication logic for a single customer view. o Develop and manage data masking & encryption for security compliance. API & CI360 Integration o Integrate CMDM with SAS CI360 for seamless campaign execution. o Ensure API connectivity and data flow across platforms. Testing & Deployment o Conduct Unit, Integration, and UAT Testing. o Deploy CMDM solutions to production and provide knowledge transfer. Key Skills Required: SAS Data Integration Studio (SAS DI Studio) Design, develop, and maintain Campaign Management Data Mart (CMDM) Data Management (SAS Base, SQL, Data Cleansing) SAS ESP, GaussDB, and API Integration Data Governance (RBAC, GDPR, PII Compliance) Data Masking & Encryption Techniques

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 Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities 2. Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders 3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries,Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Mandatory Skills: SAS DI.

ERGO Technologies and Services IndiaERGO Technology & Services India (ET&S India) is the newest part of the ERGO Technology & Services Management the main outsourcing provider of IT for ERGO worldwide. It is backed up by ERGO an 18 Billion Euro Organization with a presence in 15+ countries have a charter to provide technology services to the ERGO countries in multiple countries. ET&S India will be fueling the Digital aspirations of ERGO world in years to come. With ambitious plan to build a large offshore development centers in multiple cities of the country ETS India shall be at the forefront in developing capabilities and providing career opportunities to employees in diverse technologies across domains of Insurance. Role Description: The Developer will be responsible for developing new system functionality, providing system maintenance & enhancements in SAS projects to ensure that the initiatives and internal customers are provided full lifecycle support, from implementation through on-going support. This person will be responsible for coding, unit testing, bug-fixes a day-to-day basis. Creation of functional and/or technical concepts Development or modification of SAS databases Changes to interfaces Technical review of requirements Documentation of operational knowledge Design, development and maintenance of SAS databases to meet support and/or project requirements. Liaising with business and IT teams to understand business requirements and translate them into formal technical requirements and application code. Collaborate with IT support teams (I&O, SAS) to ensure that support and project requirements are developed and successfully implemented Develop and execute unit tests and integration plans/scripts to verify that application changes meet technical specifications Responsibility for the entire system development lifecycle Collaborate with the business team to perform acceptance testing and participate in integration testing Participate in production support/service rotation, including weekend and after-hours support Provide solution delivery methodology artefacts (ERGO Essence Model) in conjunction with application components. Participate in technical reviews at appropriate stages of development Key Competencies & Skills requiredTechnical: Experience in all components of software delivery with concentration in requirements, design and development. Quick starter to troubleshoot/resolve incidents and business support items Experience in SAS / Datawarehouse Tecnologies Has knowledge in all common MS-Office products, Jira, Confluence, Enterprise Architect Knowledge Test Tools for Support (e.g. ALM) Nice to have: Insurance Know How Basic knowledge of Cobol / Mainframe Exposure to collaboration tools like SharePoint, Fileshare, Agile Methodology, Confluence, KanBan Knowledge Insurance Know How Behavioral Skills: Excellent interpersonal and communication skills for working in a global environment Experience working with technical support team(s). Being customer oriented. Very good English (speaking/writing) skills. Willingness to learn and quickly adapt to changing requirements Proactive approach to identifying issues and presenting solutions and options Prioritize business impact and urgency Ability to learn new technology and methodology quickly. Soft Skills: Very good knowledge in handling application support and maintenance projects with different skills. Good analytical and problem solving skills in a short time frame Detail orientation Initiative, reliability and dedication Very good communication and presentation skills Ability to work in a team Ability to deal with conflict Flexibility Ability to work under pressure Previous Experience & QualificationsEducation/Qualification: A degree in Computer Science or equivalent or a related discipline; or equivalent work experience Knowledge & Experience: 2-3 years of SAS and Datawarehouse Development background in design, analysis and coding, bug fixing Financial Services background appreciated Experience of working within multi-location teams English