Job DescriptionJob descriptionRequirements- Implement/support new data solutions in datalake/datawarehouse built on snowflake.- Develop and design data pipelines using python, spark and snowflake.- Implement infrastructure as code using cloudformation and terraform.- Design and Implement Continuous Integration/Continuous Deployments pipelines.- Perform Data Modelling using downstream requirements.- Develop transformation scripts using advanced SQL and DBT.- Create reports/dashboard using business intelligence tools such as looker and tableau.- Write test cases/scenarios to ensure incident free production release.- Collaborate closely with data analysts and different domains such as Finance, risk, compliance, product and engineering to fulfil requirements.- Identify areas of improvements in data pipelines, snowflake,



infrastructure etc Conduct peer reviews of the code.- Debug production and development issues and provide support to colleagues where necessary.- Perform data quality checks to ensure quality of the data exposed to the end users.- Perform production deployments and perform a post-production support and validation (We follow a You build, you run it philosophy)- Build strong relationships with team, peers and stakeholders.- Contributes to overall data platform implementation.- Proficient in SQL/Python/Spark- Exposure to DBT would be preferable- Experience in AWS services such as Glue, Lambda, S3, DynamoDB, RDS, Kinesis, ECS/Fargate.- Experience working with contemporary data platforms such as redshift or snowflake- Experience working with BI tools such as looker and tableau- Experience working with docker- Proficient in data modelling.

📌 Data Engineer (Bengaluru)
🏢 Mindera
📍 Bengaluru