64 Sas Di Jobs - Page 3

Description: Mandatory skill: SAS DI along with combination of : SQL, Informatica Power center, Talend, Big Data(Hadoop ecosystem), Hive Role & responsibilities Design, develop, and maintain ETL pipelines using Informatica PowerCenter or Talend to extract, transform, and load data into EDW systems and data lake. Optimize and troubleshoot complex SQL queries and ETL jobs to ensure efficient data processing and high performance. Technologies - SQL, SAS DI, Informatica Power center, Talend, Big Data, Hive

Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Do 1.Develop architectural solutions for the new deals/ major change requests in existing deals Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. Provide solutioning of RFPs received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Works closely with various IT groups to transition tasks, ensure performance and manage issues through to resolution Perform detailed documentation (App view, multiple sections & views) of the architectural design and solution mentioning all the artefacts in detail Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Collaborating with sales, program/project, consulting teams to reconcile solutions to architecture Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the project planning phase in the form of technical architectural designs and recommendation Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture Identifies implementation risks and potential impacts 2.Enable Delivery Teams by providing optimal delivery solutions/ frameworks Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams Recommend tools for reuse, automation for improved productivity and reduced cycle times Leads the development and maintenance of enterprise framework and related artefacts Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams Ensures architecture principles and standards are consistently applied to all the projects Ensure optimal Client Engagement Support pre-sales team while presenting the entire solution design and its principles to the client Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create an impact of solution proposed Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc 4.Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: SAS DI. Experience: 8-10 Years.

Hi Greetings from Ariston Partners Pty Ltd Hiring for SAS Solution Designer Long Term Contract in Sydney (Visa Sponsorship Role) Email:fernando@aristonpartners.com.au JD: Strong exposure to SAS is required, alongside proficiency in cloud-based technologies and data platforms. Ability to guide data engineers on solution delivery using RDBMS, ETL/ELT technologies, and strong understanding of relational and NoSQL databases and real-time streaming. Experience delivering data solutions within large, complex data platform environments, with knowledge of Risk frameworks in Financial Services. Ability to define solutions spanning multiple technologies including SAS, Hadoop & Big Data, Azure/Teradata Data Warehouse, ETL tools (e.g., Informatica), and BI tools (Tableau, Power BI). Experience working with business units to understand credit risk-related data elements, reference data, metadata, and data lineage. Capability to guide Agile teams in designing, developing, testing, implementing, and supporting full-stack technical solutions using DevOps processes. If interested kindly Share updated CV Total Experience : SAS : ETL: Credit Risk Notice Period: Regards Fernando San Call/Whatsapp:+61435811160

Salary: 15 to 30 LPA Exp: 3 to 8 years Location : Gurgaon/Bangalore/Pune/Chennai Notice: Immediate to 30 days..!! Key Responsibilities & Skillsets: Common Skillsets : 3+ years of experience in analytics, SAS Pyspark, Python, Spark, SQL and associated data engineering jobs. Must have experience with managing and transforming big data sets using pyspark, spark-scala, Numpy pandas Excellent communication & presentation skills Experience in managing Python codes and collaborating with customer on model evolution Good knowledge of data base management and Hadoop/Spark, SQL, HIVE, Python (expertise). Superior analytical and problem solving skills Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision Good communication skill for client interaction Data Management Skillsets: Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferred Should have strong grasp of advanced SQL functionalities (joins, nested query, and procedures). Strong ability to translate functional specifications / requirements to technical requirements

Role & responsibilities: The candidate should be well aware of the BFSI domain. Good at SAS DI to automate the reporting process using SAS Stored Process, SAS Portal, Info Map, WRS and guide business users to use it . Should have in depth knowledge in DW/BI concepts, Dimensional Modelling Experience in using SAS Data Integration Studio to extract, transform and load source data into SAS or major DBMS environments from multiple sources including major DBMS and application system transaction files. Expertise in Creating Drill Down or OLAP based complex reports. Should be conversant with Job Scheduling using Windows Scheduler or LSF Creating ETL's using DI Studio, having good knowledge for transformation like Extract, SQL Join, Splitter, Lookup, Table Loader, SCD Type Techniques. Deploying Jobs & Scheduling In SMC. Hands on experience on Base SAS, Macros, Enterprise Guide, OLAP Cube Studio Experience in Unix Operating System and Scheduling tools like LSF and Cron-tab Knowledge Of creating users, assigning roles/rights to users. Strong experience in Data Validation or Data Quality and Error handling Base SAS, Advance SAS Programmer, SAS Macros, SAS/Access, SQL and optimization techniques. Preferred candidate profile Should have API experience. Should have worked on SAS Stored Procedure, PROC HTTP.

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 Mandatory Skills: SAS DI.Experience: 3-5 Years.

We are looking for a skilled SAS Visual Analytics Developer with 2 to 7 years of experience to join our team at Lericon Informatics Pvt. Ltd.,.The ideal candidate will have a strong background in IT Services & Consulting, particularly in data visualization and analytics. Roles and Responsibility Design and develop interactive dashboards using SAS Visual Analytics to provide insights into complex data sets. Collaborate with cross-functional teams to identify business requirements and develop solutions that meet those needs. Develop and maintain databases, data warehouses, and other data storage systems to support business intelligence initiatives. Create reports and visualizations to communicate findings and recommendations to stakeholders. Troubleshoot issues with existing dashboards and resolve them efficiently. Stay up-to-date with industry trends and emerging technologies in data visualization and analytics. Job Requirements Strong understanding of data visualization principles and techniques, including data modeling and storytelling. Proficiency in programming languages such as SAS, SQL, or Python. Experience with data analysis tools like Tableau, Power BI, or QlikView. Excellent communication and problem-solving skills, with the ability to work effectively in a team environment. Ability to manage multiple projects simultaneously and meet deadlines. Strong attention to detail and quality control, with a focus on delivering high-quality results.

We are looking for a skilled SAS Visual Analytics Developer with 2 to 7 years of experience to join our team at Lericon Informatics Pvt. Ltd., located in [location to be specified]. The ideal candidate will have a strong background in IT Services & Consulting, particularly in data visualization and analytics. Roles and Responsibility Design and develop interactive dashboards using SAS Visual Analytics to provide insights into complex data sets. Collaborate with cross-functional teams to identify business requirements and develop solutions that meet those needs. Develop and maintain databases, data warehouses, and other data storage systems to support business intelligence initiatives. Create reports and visualizations to communicate findings and recommendations to stakeholders. Troubleshoot issues with existing dashboards and resolve them efficiently. Stay up-to-date with industry trends and emerging technologies in data visualization and analytics. Job Requirements Strong understanding of data visualization principles and techniques, including data modeling and storytelling. Proficiency in programming languages such as SAS, SQL, or Python. Experience with data analysis tools like Tableau, Power BI, or QlikView. Excellent communication and problem-solving skills, with the ability to work effectively in a team environment. Ability to manage multiple projects simultaneously and meet deadlines. Strong attention to detail and quality control, with a focus on delivering high-quality results.

We are looking for a highly motivated and talented individual to join our team as a SAS Fresher - Visual Analytics Developer in Mumbai. The ideal candidate will have 0 to 1 years of experience. Roles and Responsibility Develop and implement data visualization solutions using SAS tools. Design and create interactive dashboards and reports to meet business requirements. Collaborate with stakeholders to understand data needs and provide insights. Work on data quality improvement projects to ensure accuracy and integrity. Participate in code reviews and contribute to the development of best practices. Stay updated with industry trends and emerging technologies in data analytics. Job Requirements Strong understanding of data structures, algorithms, and software design patterns. Experience with programming languages such as Python or R is an added advantage. Excellent problem-solving skills and attention to detail. Ability to work effectively in a team environment and communicate complex ideas clearly. Familiarity with IT Services & Consulting industry concepts and challenges. Strong analytical and critical thinking skills with the ability to interpret complex data sets. Educational qualification: Any Graduate or Postgraduate degree.

We are looking for a skilled SAS Developer with 2 to 7 years of experience to join our team at Lericon Informatics Pvt. Ltd., contributing to the development of data analytics solutions. Roles and Responsibility Design, develop, and implement data analytics models using SAS. Collaborate with cross-functional teams to identify business requirements and develop solutions. Develop and maintain large-scale data systems and databases. Analyze complex data sets to extract insights and trends. Create reports and dashboards to present findings to stakeholders. Stay updated with industry trends and emerging technologies in data analytics. Job Requirements Strong proficiency in SAS programming language. Experience with data analytics tools and technologies. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills. Familiarity with IT Services & Consulting industry practices and standards.

SAS Developer We are seeking an experienced SAS Developer with a strong foundation in SAS programming, including SAS EG (Enterprise Guide) and SAS Viya, to join our growing team. The ideal candidate will be responsible for data manipulation, reporting, and visualization, leveraging various SAS technologies and tools. The role demands a strong technical skill set in SAS, excellent analytical abilities, and the ability to communicate insights effectively. Key Responsibilities: SAS Programming & Development: Write, test, and maintain SAS code using SAS Base, SAS Macros, and SAS SQL. Use SAS Enterprise Guide (EG) for creating reusable workflows and automating data processing tasks. Utilize SAS Viya for advanced analytics and cloud-based processing. Data Analysis & Reporting: Use SAS tools like SAS Viya, SAS Visual Analytics, and SAS EG to create impactful reports, dashboards, and visualizations that support business decision-making. Analyze large datasets to uncover patterns, trends, and actionable insights. Data Transformation & ETL: Handle data extraction, transformation, and loading (ETL) processes efficiently. Ensure that data is properly cleaned, validated, and transformed into usable formats for analysis. Modeling & Statistical Analysis: Apply statistical methods and data models using SAS/STAT, SAS Viya, and SAS/ETS to solve business problems and generate actionable insights. Collaboration & Stakeholder Engagement: Work with business teams, data scientists, and other stakeholders to understand requirements, share insights, and deliver data solutions. Provide regular updates on project progress and results. Optimization & Performance Tuning: Optimize and fine-tune SAS programs, including SAS Viya and SAS EG workflows, to ensure fast processing times and scalable solutions. Documentation & Best Practices: Maintain thorough documentation of SAS programs, reports, and processes. Follow coding best practices, version control, and quality standards to ensure reliable outputs. Continuous Learning & Improvement: Stay updated with new SAS tools and technologies. Proactively explore new methods and techniques to enhance data processing, analysis, and reporting. Required Skills & Experience: SAS Programming: Proficient in SAS Base, SAS EG (Enterprise Guide), and SAS Viya for data analysis, transformation, and visualization. Strong experience with SAS SQL and SAS Macros. Data Manipulation & ETL: Expertise in data transformation and manipulation, including data cleaning and extraction from relational databases. Experience in working with large datasets in SAS. Statistical & Predictive Modeling: Knowledge of statistical analysis using SAS/STAT, SAS/ETS, and machine learning models using SAS Viya for data-driven insights. Data Visualization: Experience in creating interactive and insightful dashboards and reports using SAS Visual Analytics (VA), SAS Viya, and SAS EG. Business Analytics: Experience analyzing business data, creating insights, and preparing reports using SAS tools. Ability to communicate findings to non-technical stakeholders. Experience with Cloud-Based Tools: Familiarity with SAS Viya and cloud platforms (AWS, Azure) for large-scale data processing and analytics. Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot and resolve data-related issues. Desirable Skills: Data Integration: Knowledge of integrating data from multiple sources and systems (e.g., SAP, CRM, and databases) into SAS. RPA & Automation: Familiarity with RPA (Robotic Process Automation) tools and their integration with SAS for process automation. Big Data Tools: Understanding of big data technologies like Hadoop, Spark, and Hive is a plus. Business Intelligence: Experience with other BI tools such as Tableau, Power BI, or QlikView. Educational Qualification: Bachelors/Master’s Degree in Computer Science, Mathematics, Statistics, Engineering, or a related field. Relevant SAS Certifications (e.g., SAS Certified Base Programmer, SAS Advanced Programmer, SAS Viya certifications) are a plus. Soft Skills: Communication: Excellent verbal and written communication skills to interact with business stakeholders and provide clear insights. Collaboration: Ability to work collaboratively with cross-functional teams and build strong relationships with stakeholders. Time Management: Strong organizational skills to manage multiple tasks and meet deadlines effectively.

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.

Job Summary: We are looking for an experienced SAS Developer with strong expertise in SAS programming, SAS DI Studio, and ETL development. The ideal candidate will have a solid background in designing and implementing data integration solutions and reporting frameworks to support business analytics and data-driven decision-making. Key Responsibilities: Design, develop, and maintain SAS programs for data extraction, transformation, loading (ETL), and reporting. Develop and manage ETL workflows using SAS Data Integration (DI) Studio. Perform data validation, cleansing, and transformation for large datasets from multiple sources. Build reusable SAS macros, libraries, and automation scripts to improve efficiency. Optimize and troubleshoot existing SAS code for performance and reliability. Create reports and dashboards using SAS Enterprise Guide, SAS Visual Analytics (if applicable), or other BI tools. Collaborate with data architects, analysts, and stakeholders to gather requirements and deliver solutions. Ensure data integrity and maintain detailed technical documentation. Required Skills: Hands-on experience in Base SAS, SAS Macros, SAS SQL, and SAS Enterprise Guide. Expertise in SAS DI Studio for building ETL jobs and data pipelines. Strong knowledge of ETL concepts, data profiling, and transformation logic. Proficient in working with relational databases (SQL Server, Oracle, Teradata, etc.). Experience with data warehousing environments and understanding of data modeling. Excellent debugging and performance tuning skills. Preferred Qualifications: Exposure to SAS Viya, SAS Grid, or SAS Visual Analytics. Experience in BFSI and Govt domains. Familiarity with Python, R, or cloud platforms (AWS, Azure, GCP) is a plus.

Job Summary: We are seeking a highly skilled Senior SAS Consultant with in-depth expertise in SAS CI360 and strong working knowledge of the broader SAS ecosystem including SAS ESP, SAS EG, SAS DI, SAS MC, and SAS Info Map Studio. The ideal candidate will have a comprehensive understanding of SAS architecture and data flow across modules, be confident working in a Linux environment, and possess strong communication skills to engage effectively with clients. Key Responsibilities: Act as the primary SAS CI360 expert, with the ability to configure, troubleshoot, and optimize marketing and decisioning use cases. Collaborate with clients to understand business objectives and translate them into SAS-based solutions. Design, implement, and optimize data integration workflows using SAS DI and EG. Develop and maintain Info Maps, Business Contexts, and data models for CI360 consumption. Work with SAS ESP (Event Stream Processing) to enable real-time decisioning and personalization. Monitor, schedule, and manage jobs through SAS Management Console (MC). Maintain SAS environments on Linux, including debugging logs, monitoring processes, and ensuring high availability. Document system/data flows across the SAS stack and guide junior team members. Ensure compliance with data governance, privacy, and best practices in data handling. Required Skills: Must-have: Strong hands-on experience in SAS CI360, including real-time tasks, segments, treatment groups, calculated fields, and activity mapping. Expertise in SAS ESP, SAS DI Studio, SAS Enterprise Guide, SAS Management Console, SAS Info Map Studio. Solid understanding of SAS architecture and end-to-end data flows across components. Strong proficiency in Linux-based environments file handling, log review, process monitoring. Excellent communication and interpersonal skills able to engage with stakeholders, gather requirements, and deliver solutions effectively. Ability to work independently and manage deliverables in a client-facing environment. Preferred Qualifications: SAS certifications (e.g., SAS CI 360 Specialist, SAS Data Integration Developer) are a plus. Exposure to cloud platforms (AWS, Azure) or tools like SQL, Python, or REST APIs is desirable. Prior experience in industries like Banking, Telecom, or Retail Marketing would be beneficial.