FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Senior Data Platform Engineer – Data Core Processing Team
Warner Bros. Discovery. Has a track record of having built multiple high-performance, stable, scalable data systems that have been successfully shipped to production .
Tech Stack
Tools & technologiesAirflowAmazon RedshiftApacheAWSAzureBigQueryCassandraCloudDockerDynamoDBETLGoogle Cloud PlatformGrafanaJavaKafkaKubernetesNoSQLPostgresPrometheusPythonScalaSparkSQLTerraform
About the role
Key responsibilities & impact- Has a track record of having built multiple high-performance, stable, scalable data systems that have been successfully shipped to production
- Drives best practices and sets standards for the team in areas like data modeling, pipeline architecture, and system design
- Is a key influencer in the team's strategy and contributes significantly to the team planning
- Shows good judgment making trade-offs between immediate and long-term business needs
- Is a result-driven creative thinker who drives innovation and produces delightful experiences for our data consumers and internal customers
- Is an advocate for data-driven decision-making, has an insatiable curiosity, and loves to invent and innovate to solve difficult problems
- Takes ownership of their work and consistently delivers results in a fast-paced environment
- Troubleshoot production issues by reviewing logs, metrics, data pipelines, and system health to pinpoint specific problems and then resolve them
- Identify root causes and identify learnings to improve both development processes and system design
- Provide guidance on design, coding, and operational best practices for data engineering
- Mentor junior engineers, overseeing their designs, code quality, and integration into a team.
Requirements
What you’ll need- Proficient in Python and/or Scala/Java with 5-9 years of total experience in data engineering or related fields
- Strong experience with distributed data processing frameworks such as Apache Spark, Flink, or similar technologies
- Deep understanding of data pipeline orchestration tools like Apache Airflow, Dagster, or Prefect
- Experience with cloud data platforms (AWS, GCP, or Azure) including services like S3, Redshift, BigQuery, Databricks, or Snowflake
- Hands-on experience with real-time streaming technologies such as Apache Kafka, Kinesis
- Experience with data lake/lakehouse architectures and formats like Parquet, Avro, Delta Lake, or Iceberg
- Strong understanding of SQL and database technologies including PostgreSQL, NoSQL databases like DynamoDB or Cassandra
- Experience with containerization (Docker) and orchestration (Kubernetes) in data engineering contexts
- Familiarity with infrastructure-as-code tools like Terraform or CloudFormation
- Ability to implement comprehensive monitoring, alerting, and observability using tools like Prometheus, Grafana, CloudWatch, or Datadog
- Strong understanding of data modeling, ETL/ELT patterns, and data warehouse design principles
- Experience with CI/CD pipelines and version control systems (Git).
Benefits
Comp & perks- A Great Place to work
- Equal opportunity employer
- Fast track growth opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonScalaJavaApache SparkApache FlinkApache AirflowAWSGCPAzureSQL
Soft Skills
result-drivencreative thinkerownershipmentorshipgood judgmentinnovationdata-driven decision-makingcuriositytroubleshootingguidance