XpertHunt
Location
Pune | India
Job description
Position: Azure/Data Bricks - Data Engineer with reputed MNC.
Lead Data Engineer:
Skills- Data Engineer/ETL Developer – SSIS (Must have 4- 5+ years), SQL, DWH, Azure Databricks, Spark, Synapse
Exp- 7- 13 Years
Location – Gurgaon/NCR/Pune/Bangalore
Notice period : Immediate or Serving till April.
Job Summary/ Job Opportunity:
As a Data Engineer, you will assist re/insurers, agents, and brokers accelerate their data-to-insights lifecycles by using a robust proprietary data warehousing framework and leading-edge data enrichment and ingestion systems. This is an excellent opportunity for a highly efficient individual to secure the opportunity to work alongside a team of experts.
Key Objectives and Major Responsibilities:
1. The purpose of this role is to develop and construct data products and services, and integrate them into
systems and business processes.
2. The individual will play an essential role in implementing these projects from the prospect of our insurance
domain.
3. Major responsibilities include utilising CRUD operations and creating databases as per the data model
design and database views and materialised views.
4. Comparing data warehouses, RDBM, data lakes and their implementation scenarios, normalisation and
denormalization processes and identifying essential characteristics of those projects.
5. Leveraging visualization tools as guided to create and design data visuals / reports / dashboards and
selecting appropriate techniques to engage with the target audience and prototype and further refine it.
6. Performing protocols and processes to be followed towards data accessibility, retrievability, security and
protection.
7. Assisting the development and implementation of data pipelines and data stores and carrying out routine
data quality checks and remediation.
8. Representing the logical structure of the database using tables and graphical relationships in selected
programs and analysing source and target systems.
9. Creating mapping documents. ETL/ELT code (scripts) to perform ETL/ELT operations to integrate data
from disparate systems into Data lake/DWH or any other target database.
10. Conducting an initial assessment along with a senior architect to identify gaps in technology, platform,
data quality standards, and capturing business/data quality rules & quality thresholds.
11. Documenting as-is/current architecture/data landscape details and assisting in building fit-gap analysis
documents.
12. Contributing to the organisational values by actively engaging in the larger learning and development
process.
13. Preparing complex documentation, proposals and presentations to advance business objectives.
14. Driving concise, structured, and effective communication with peers and clients.
Key Capabilities and Competencies
Knowledge
1. Knowledge and experience of essential data warehousing terminologies and processes applied to
facilitate operations.
2. Thorough with the data life cycle and various risks associated with data management.
3. Awareness of the standard data modelling principles and techniques pertaining to data warehousing.
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