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A Data Engineer is responsible forbuilding and managing data pipelinesthat collect, process, and store data from different sources. This role ensures data isreliable, scalable, and ready for analyticsusing cloud platforms likeAWS, GCP, or Azure.
Key Responsibilities (Explained Briefly)Buildbatch and real-time data pipelinesto move data from source systems to data lakes/warehouses
Develop and maintainETL / ELT processesfor data transformation
Work on cloud-native services inAWS, GCP, or Azure
Design and supportdata lakes and data warehousesfor reporting and analytics
Ensuredata quality, performance, and monitoringof pipelines
Collaborate withBI, Analytics, and Data Science teamsto support business needs
StrongPython and SQLfor data processing
Experience withone cloud platform(AWS / GCP / Azure)
Hands-on experience indata pipeline development
Working knowledge ofSpark / Databricks
Experience withdata warehouseslike Snowflake, Redshift, BigQuery, or Synapse
Basic understanding ofstreaming technologiesis a plus
4+ yearsof experience in Data Engineering or related roles
Bachelor's degree in Computer Science or equivalent
Job ID: 137378353