Key Responsibilities As a member of the Data analytics team you will be required to leverage strong data engineering experience with cutting edge technologies in the relational, unstructured and cloud ecosystem and data lake/warehouse spaces to support and enable a true data driven company. The ideal candidate will have a track record of developing data pipelines to extract, transform and aggregate data that can scale to petabytes, elastically, with low latency and high availability
A background in Computer Science, Engineering, Mathematics or Statistics.
Experience building complex data pipelines for data integration from enterprise wide applications/systems into centralised big data lakes/warehouses
Experience and understanding of distributed database technologies/concepts. Strong knowledge in SQL and bash scripting.
Experience integrating real-time data streaming including Spark and Kafka
Strong analytical competencies with the ability to turn requests from Business Intelligence and Data Analyst personnel into efficient and scalable data transformations
A proficient Python/Java programmer
Experience building and enforcing strong data quality guarantees and anomaly detection into data pipelines
Good to have
Experience in Azure cloud and their suite of product offerings.
Knowledge of database internals and optimizations.
Knowledge of optimised data storage and serialisation formats
Job Description :
To ensure customer service and support all operations. To create customer delight at every interaction.
Interacting with external customers and internal customers and addressing their queries, requests and complaints.
Committed TATs are met consistently
Complaints Management- addressing customer complaints at the branch, system updation, coordination with Sales/HUB/ other functions for resolution.
Refunds processing and dispatch
Undelivered policy documents tracking and management.
Maintenance of all files and registers.
New Business Processing:-
Handling end to end New business processing starting from creation of Client id,Case start up, New business login, Follow up for policy issuance, Quality Check
Follow up with HUB for policy issuance of pending cases