Data Engineer – Cloud Data Pipelines
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Overview:We’re seeking a Data Engineer with expertise in building robust, scalable cloud-based data pipelines. You’ll play a key role in transforming raw data into meaningful insights across the organization.Responsibilities:Design and implement cloud-native data pipelines using Spark, Kafka, and cloud servicesBuild ETL workflows to ingest and process structured and unstructured dataWork closely with Data Scientists and Analysts to enable self-serve analyticsOptimize performance, reliability, and scalability of big data platformsRequirements:BS/MS in Computer Science, Engineering, or a related field3+ years of experience with Python, SQL, and distributed systemsHands-on experience with AWS (Glue, Redshift, S3), GCP, or AzureProficiency in Apache Spark, Airflow, and KafkaExperience with data modeling, data warehousing, and pipeline orchestrationJob Category: Data EngineerJob Type: Full TimeJob Location: San FranciscoApply for this positionFull Name *Email *Phone *Cover Letter *Upload CV/Resume *Allowed Type(s): .pdf, .doc, .docxBy using this form you agree with the storage and handling of your data by this website. *Responsibilities:Design and implement cloud-native data pipelines using Spark, Kafka, and cloud servicesBuild ETL workflows to ingest and process structured and unstructured dataWork closely with Data Scientists and Analysts to enable self-serve analyticsOptimize performance, reliability, and scalability of big data platformsRequirements:BS/MS in Computer Science, Engineering, or a related field3+ years of experience with Python, SQL, and distributed systemsHands-on experience with AWS (Glue, Redshift, S3), GCP, or AzureProficiency in Apache Spark, Airflow, and KafkaExperience with data modeling, data warehousing, and pipeline orchestrationJob Category: Data EngineerJob Type: Full TimeJob Location: San FranciscoResponsibilities:Design and implement cloud-native data pipelines using Spark, Kafka, and cloud servicesBuild ETL workflows to ingest and process structured and unstructured dataWork closely with Data Scientists and Analysts to enable self-serve analyticsOptimize performance, reliability, and scalability of big data platformsRequirements:BS/MS in Computer Science, Engineering, or a related field3+ years of experience with Python, SQL, and distributed systemsHands-on experience with AWS (Glue, Redshift, S3), GCP, or AzureProficiency in Apache Spark, Airflow, and KafkaExperience with data modeling, data warehousing, and pipeline orchestration