Posted:3 weeks ago| Platform:
Remote
Full Time
Requirement : 8+ years of professional experience as a data engineer and 2+ 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 Skills : 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
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