11+ Data mapping Jobs in Chennai | Data mapping Job openings in Chennai

• Should have good hands-on experience in Informatica MDM Customer 360, Data Integration(ETL) using PowerCenter, Data Quality.
• Must have strong skills in Data Analysis, Data Mapping for ETL processes, and Data Modeling.
• Experience with the SIF framework including real-time integration
• Should have experience in building C360 Insights using Informatica
• Should have good experience in creating performant design using Mapplets, Mappings, Workflows for Data Quality(cleansing), ETL.
• Should have experience in building different data warehouse architecture like Enterprise,
• Federated, and Multi-Tier architecture.
• Should have experience in configuring Informatica Data Director in reference to the Data
• Governance of users, IT Managers, and Data Stewards.
• Should have good knowledge in developing complex PL/SQL queries.
• Should have working experience on UNIX and shell scripting to run the Informatica workflows and to control the ETL flow.
• Should know about Informatica Server installation and knowledge on the Administration console.
• Working experience with Developer with Administration is added knowledge.
• Working experience in Amazon Web Services (AWS) is an added advantage. Particularly on AWS S3, Data pipeline, Lambda, Kinesis, DynamoDB, and EMR.
• Should be responsible for the creation of automated BI solutions, including requirements, design,development, testing, and deployment

Experience: 3-5 Years of driving revenue through Retail Pharmacy.

About the Role

We are looking at experienced team members who have learned the art of onboarding

Retailers, Chemist, Pharmacist in their region. Candidate will be required to perform below

KPI/KRAs for this role:

- Achieve monthly sales TGT of ~15L through offline sales in Chemist, Pharmacist,

Retailers

- Improve blended margins through selling Pharma, Consumables and POCT devices

- Onboard monthly 50 customers for generating sales

- Drive campaigns on schemes, bundle offerings to end customers

- 10 Customer Visits / Day

Focus Categories:

- Branded Generic

- Ethical Brands

- Make In India Generics

- OTC/OTX

- Consumables &

- POCT Devices like (Hb Meter, BP Meter, Gluco meter, weighing scale etc.)

·        Responsible for handling IT requirements from US based clients.

·        Responsible for full-cycle recruiting: interview, offer, negotiation and closed candidates for assigned requisitions.

·        Sourcing from Job Portals (Monster, Dice, Career builder), making job postings on the Job Portal.

·        Well versed about US Terms like W2, C2C, 1099, US Visas, etc.

·        Responsible to work on C2H (Contract to Hire) positions.

·        Responsible for coordinating the fulfilment of other formalities such as background check, drug test etc. leading to joining post placement.

·        Responsible for achieving a good conversion ratio of submittals into interview and placement.

·        Responsible for Strategy Development process which includes understanding client requirements & mapping the relevant targets.

·        Must be having capability to work with a team or individually.

·        Maintain close contact with candidates/Vendors/ recruiters/offshore team.

·        Publish progress report to management every week.

·        Updated about technologies of the Client requirements and knowledge of current IT trends.

Shift Timing: US Shift Timing

Job Profile:-

• Appraising credit proposals and scrutinizing relevant documents prior to sanctioning and disbursement of pre owned car and ensuring compliance with organizational policies.
• Conducting comprehensive study of creditworthiness of individual clients by supervising data verification and field investigation activities.
• Evaluating financial statements of various clients and availing approval of quantum of credit considering all deviations as per policy.
• Interacting with the Field investigation FI and Risk Control Unit RCU agencies, visiting them regularly to resolve their queries, providing valuable feedback to enhance their report quality and ensure seamless execution of business operations.
• Conducted surprise visits to some customers to cross check the authenticity of the FI and RCU reports in turn avoiding fraud cases and minimizing the loses.
• Successfully maintained a Login to disbursement turn around time of 7days and a loan processing turn around time of 48 hours inclusive of FI and RCU process completion
• Pivotal in achieving minimal number of operational errors related to files disbursed.
• Implementing various trackers and reporting systems, preparing daily MIS and monthly branch reports for monitoring business performance.
• Successfully improved the branch profitability by constantly supervising the operations costs.
• Mentoring & motivating the CPA team force, imparting continuous on job training on various changes in the policy for accomplishing greater operational effectiveness.
• Conducting programmes to enhance efficiency in various business operations, setting up sales objectives and streamlining processes to ensure smooth functioning of sales and credit operations.
• Channel Management-Supervising management of files logged in through the alternate Channel as this is one of the most profit making product for the company.
• Implementing result oriented recovery plans, made Business development visits mandatory for high value disbursement rendering regular feedback to the collections team on portfolio performance

Required Skills:

• ASP.NET, C# .NET, SQL, Web API
• jQuery, JavaScript

• Technically lead a team of 6-8 .NET developers
• Understands the requirement assigned for the development
• Performs the unit testing 
• Resolves bugs assigned, withing SLA time.
• Perform day to day activities of agile methodology
• Leads Daily Huddle & Scrum meeting.
• Takes responsility of CR developmet with all tasks included for it.
• Should perform code review whenever required

The candidates should have:

·  Strong knowledge on Windows and Linux OS

·   Experience working in Version Control Systems like git

·  Hands-on experience in tools Docker, SonarQube, Ansible, Kubernetes, ELK.

·  Basic understanding of SQL commands

·  Experience working on Azure Cloud DevOps

1. Work across the entire landscape that spans network, compute, storage, databases, applications, and business domain
2. Use the Big Data and AI-driven features of vuSmartMaps to provide solutions that will enable customers to improve the end-user experience for their applications
3. Create detailed designs, solutions and validate with internal engineering and customer teams, and establish a good network of relationships with customers and experts
4. Understand the application architecture and transaction-level workflow to identify touchpoints and metrics to be monitored and analyzed
5. Analytics and analysis of data and provide insights and recommendations
6. Constantly stay ahead in communicating with customers. Manage planning and execution of platform implementation at customer sites.
7. Work with the product team in developing new features, identifying solution gaps, etc.​
8. Interest and aptitude in learning new technologies - Big Data, no SQL databases, Elastic Search, Mongo DB, DevOps.​

1. At least 2+ years of experience in IT Infrastructure Management
2. Experience in working with large-scale IT infra, including applications, databases, and networks.​
3. Experience in working with monitoring tools, automation tools
4. Hands-on experience in Linux and scripting.
5. Knowledge/Experience in the following technologies will be an added plus:​ ​ElasticSearch, Kafka, Docker Containers, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, web services, and JMX.

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.