Core python exposure is must, other exposure in pyspark, Django, flask are good to have.
Experience in handling large volumes of data, building ETL data pipelines, exposure in libraries like pandas, numpy.
Proficient in building re-usable data pipelines, frameworks
Aware of best practices, guidelines
Snowlake
Aware of snowflake common concepts like warehouse, account, roles etc and architecture.
Exposure in writing efficient, optimized sql queries
Implemented procedures, tasks etc
Snowflake scripting
CI/CD
Exposure to version tools like GitHub, familiar with commands, branches concepts.
Aware of various env strategies
Awareness/exposure in CI/CD, building Jenkins pipelines.
Please apply only immediate joiner.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time