Must have:
? 3 to 5 years of professional experience as a data engineer and 1+ years of professional experience as a senior data engineer
? Must have strong working experience in Python and its various data analysis packages - Pandas / NumPy
? Must have strong understanding of prevalent cloud ecosystems and experience in one of the cloud platforms - AWS / Azure / GCP.
? Must have strong working experience in one of the leading MPP Databases - Snowflake / Amazon Redshift / Azure Synapse / Google Big Query
? Must have strong working experience in one of the leading data orchestration tools in cloud - Azure Data Factory / Amazon Glue / Apache Airflow
? Must have experience working with Agile methodologies, Test Driven Development, and implementing CI/CD pipelines using one of leading services - GITLab / Azure DevOps / Jenkins / AWS Code Pipeline / Google Cloud Build
? Must have Data Governance / Data Management / Data Quality project implementation experience
? Must have experience in big data processing using Spark
? Must have strong experience with SQL databases (SQL Server, Oracle, Postgres etc.) ? Must have stakeholder management experience and very good communication skills ? Must have working experience on end-to-end project delivery including requirement gathering, design, development, testing, deployment, and warranty support
? Must have working experience with various testing levels, such as, unit testing, integration testing and system testing
? Working experience with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures
Nice to have:
? Working experience in DataBricks notebooks and managing DataBricks clusters
? Experience in Data Modelling tool such as Erwin or ER Studio
? Experience in one of the data architectures, such as Data Mesh or Data Fabric
? Has handled real time data or near real time data
? Experience in one of the leading Reporting & analysis tools, such as Power BI, Qlik, Tableau or Amazon Quick Sight
? Working experience with API integration
? General insurance / banking / finance domain understanding
Job Types: Full-time, Permanent
Pay: ?671,754.20 - ?1,526,127.93 per year
Benefits:
Health insurance
Leave encashment
Paid sick time
Paid time off
Provident Fund
Schedule:
Day shift
Monday to Friday
Weekend availability
Supplemental Pay:
Performance bonus
Yearly bonus
Work Location: In person
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