Must Have: Spark, PySpark, Python, EKS experience, and AWS environment knowledge. At least one year of application management experience using Dremio, Presto, Databricks, Starburst, or Snowflake. Must Have Qualifications: Dremio application support and management, hands-on AWS experience. Requirements: Experience in Dremio application management for one year or more. Strong experience building ETL pipelines with Apache Spark. Hands-on experience with AWS services such as Glue, EMR, Lambda, Step Functions, CloudTrail, CloudWatch, SNS, SQS, S3, VPC, EC2, RDS, IAM. Proficient in Python and/or Scala. Knowledge of application development lifecycles and CI/CD practices. Experience developing on AWS and with cloud-native applications. Experience with S3, DynamoDB, Kinesis, Snowflake. Experience developing data platforms on AWS. Proficient in Agile methodologies. Experience with the ELK Stack (Elasticsearch, Logstash, Kibana, Beat agents) and REST API integration. Knowledge of programming languages like Golang, Java, JSON. Experience fine-tuning search relevancy based on business needs. Ability to develop Elastic alerting solutions using Watchers and Kibana. Experience generating alerts for ticketing systems like ServiceNow or Jira. Qualifications: Bachelor’s degree in a related field. Strong analytical and problem-solving skills, self-driven. Minimum 5 years of experience in AWS Data Pipelines development and implementation. AWS certifications (Associate or Professional) are a plus. Seniority level Mid-Senior level Employment type Contract Job function Information Technology Industries IT Services and IT Consulting This job is active and not expired.

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