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About Position:
We are looking for a skilled Data Engineer to develop and maintain scalable data pipelines and processing workflows across AWS-based data platforms. The ideal candidate will have strong expertise in Data Engineering, Python/PySpark, AWS Glue, and modern cloud data architectures. This role involves building ingestion frameworks, ETL/ELT pipelines, data lake solutions, and analytics platforms that enable reliable, scalable, and high-performance data processing.
What You'll Do:
Expertise You'll Bring:
Benefits:
Values-Driven, People-Centric & Inclusive Work Environment:
Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
Let's unleash your full potential at Persistent - persistent.com/careers
Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.
Job ID: 151196081
Skills:
snowflake , S3, Redshift, Jenkins, Lambda, Spark Streaming, Apache Kafka, Gitlab, Data Governance, Python, AWS, Alation, Glue, Data Quality Mesh
Skills:
S3, RDS, Pyspark, Databricks, Emr, Redshift, Python, Sql, AWS, Etl
Skills:
Java, Unix, Apache Flink, Data Modeling, Schema Design, Pyspark, Data Cleansing, Apache Spark, Data Warehouse Concepts, Shell Scripting, Sql, ELT, Apache Airflow, Linux, Apache Kafka, Restful Apis, Python, Etl, Data Transformation, Data Quality Validation
Skills:
proxmox , Servicenow, Kvm, Windows Server, Prometheus, Grafana, Datadog, Terraform, Vcenter, Python, AWS, Esxi, Vmware Vsphere, PowerShell, Bash, Jira, Ubuntu, Git, Nsx, Ansible, Rhel, Powercli, Vsan, networking fundamentals
Skills:
Terraform, Pyspark, Python, Sql, GitLab CI, GitHub Actions, LakeFlow, Delta Lake, Solid, Databricks Lakehouse