Company Description
WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.
Job Description
Job Responsibilities & Required Skills
Resource will be responsible for developing, maintaining, and testing data solutions with a wide variety of data platforms including relational databases, big data platforms and no-sql databases.
You will work with Data Architects and Business Analysts for ELT/ETL implementations.
You will be responsible for maintaining LLD and other technical documents.
Lead, motivate and manage a team of data engineers.
Manage other central/ enterprise activities that are defined from time to time.
Strong understanding of Data Ingestion, Data processing, Orchestration, Parallelization, Transformation and ETL fundamentals
Strong understanding of Data Warehousing, Data Management Concepts, Data Lakes, Cloud technologies.
ELT/ETL experience with any ETL tool like SSIS/ Informatica Power Centre/Informatica IDQ/Informatica BDM, Snowflake etc
Knowledge of Snowflake DB and DBT tool (Optional but good to have)
Knowledge of SQL and experience of working on SQL clients like SSMS, Oracle Client, PGSQL, etc.
Technical skills – Data Engineering technologies, Business Intelligence, Data Analytics (Snowflake, Informatica Power Centre, Informatica BDM, SSIS, Big Data, Power BI, Qlik, Python etc)
Experience on scripting languages like Unix shell script/Python
Sound knowledge of data analysis using any SQL tools
Designs develop, automates, and support complex applications to extract, transform, and load data.
Should have knowledge of error handling and Performance tuning for Data pipelines.
Experience implementing Data Quality in Data Lake solutions.
Knowledge of data modelling principles.
Should have experience working with onshore clients – NA, ANZ or European region.
Domain: BFSI domain preferred
Qualifications
Engineering Graduate/ BSc Graduate
Experience Level:
Minimum 8+ years of total work experience
At least 8+ years of experience in an IT/ BPM company - worked as Data Engineer/Data Architect/Solution Architect
