Job
Description
Requirements 4+ years of experience as a Data Engineer. Strong proficiency in SQL. Hands-on experience with modern cloud data warehousing solutions (Snowflake, Big Query, Redshift) Expertise in ETL/ELT processes, batch, and streaming data processing. Proven ability to troubleshoot data issues and propose effective solutions. Knowledge of AWS services (S3, DMS, Glue, Athena). Familiarity with DBT for data transformation and modeling. Must be fluent in English communication. Desired Experience Experience with additional AWS services (EC2, ECS, EKS, VPC, IAM). Knowledge of Infrastructure as Code (IaC) tools like Terraform and Terragrunt. Proficiency in Python for data engineering tasks. Experience with orchestration tools like Dagster, Airflow, or AWS Step Functions. Familiarity with pub-sub, queuing, and streaming frameworks (AWS Kinesis, Kafka, SQS, SNS). Experience with CI/CD pipelines and automation for data processes. Skills: streaming data processing,aws services (s3, dms, glue, athena),infrastructure as code (iac) tools (terraform, terragrunt),orchestration tools (dagster, airflow, aws step functions),ci,cloud data warehousing (snowflake, big query, redshift),cloud,ci/cd pipelines,sql,etl/elt,pub-sub frameworks (aws kinesis, kafka, sqs, sns),batch data processing,aws,cd,dbt,data,etl,python
