Big Data Lead-Hexa-Sandhya

Kindly share profile for the below demand on high priority . Skill : Big Data Lead Exp :9-11 yrs Location : any Hexaware location CTC : 23.50 LPA Max Note : look strong candidate who has experience in Stakeholder management and client interaction Kindly confirm on work timing : we have two shifts 7 AM to 3:45 Pm / 1:30 PM to 10:15 PM Primary skill: Databricks, ADF, SQL, Pyspark , ETL and Dwh concepts Secondary skill : Python Details of skills and R&R mentioned here: 8 plus years of experience in building / architecting data analytic solutions. 3 years of experience in building data platform using Azure services including Azure databricks, Azure data factory, delta lake, Azure data lake (ADLS), Power BI. Solid Hands-on experience with Azure Databricks - Pyspark coding and Spark SQL coding - Must have Very good knowledge on datawarehousing skills including dimensinal modeling, slowly changing dimension patterns, time travel. Experience in delivering BAU projects with implementation knowledge on CI / CD pipelines. Preferably on Azure DevOps Experience in BAU projects for Azure platform for insurance customer. Experience in lloyds market of london will be of added advantage. . Having good communication skills and understanding of BAU processes Roles & Responsibilities : Working on BAU project for day to day operations, load monitoring, fixing failure, working on maintenance releases Working on Application upgrades Communication with client regarding the BAU process updates and technical lead who is working with client RCA, Incident management, service request management, change management and release management Mainly working on UK hours shift and rotation of shift based on requirement for morning shift and UK shift JD as per AR: Role Big Data Lead Responsibilities Design & Implement Data ingestion and Data lakes-based solutions using Big Data Technologies. The Tech Lead should be highly proficient in the use of Big Data / Open-Source Technologies and standard techniques of Data Integration, Data Manipulation. Should be able to design and develop cost efficient and performant data pipelines in the cloud platform Create data environment to support our data analytics, reporting and data science teams Experience with integration of data from multiple data sources Knowledge of various Data Pipeline techniques and frameworks Performance optimization - need to monitor the complete process and apply necessary infrastructure changes to speed up the query execution. Efficient data ingestion - Discovering patterns in data sets with data mining techniques and using different data ingestion APIs and inject data into the data lake as per need. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.