• Building and maintaining data pipelines and workflows using Cloud Composer • Designing and implementing data models, database schemas, and ETL processes using core GCP data services like BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Functions • Collaborating with cross-functional teams to understand business requirements and develop solutions • Ensuring data quality and reliability by monitoring and debugging data pipelines • Maintaining and improving our existing data infrastructure and processes • Staying up-to-date with industry trends and best practices in data engineering.

• architect and develop scalable data pipelines and models using Snowflake and dbt • design and operate orchestration using Airflow, Dagster, Prefect, or similar • define modeling standards, storage patterns, and performance strategies • collaborate on backend APIs, services, integration layers, and limited frontend interfaces supporting data-driven features • contribute to CI/CD, environment management, and automated pipeline delivery • implement quality checks, lineage, SLAs, and observability • mentor engineers and drive architectural best practices • participate in system design and multi-team architectural planning

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Design, build, and manage advanced data systems that turn raw player data into actionable insights, powering personalized gaming experiences, fraud detection, and revenue optimization for our platform. - Develop batch and real-time data pipelines on our GCP platform - Develop APIs to share our data with other teams and consumers - Build CI/CD pipelines for automated deployments - Develop Terraform IAC for deploying our team's core infrastructure - Use Datastream to ingest CDC data to our data lake - Use Dataform and dbt to build a medallion data architecture - Optimize our BigQuery and ClickHouse data models - Build Airflow DAG pipelines for data imports and exports - Implement monitoring and alerting policies for data accuracy, consistency, and integrity across platforms - Uphold GDPR/CCPA compliance and data governance standards Qualifications - Good Bash, Git, SQL and Python - these are a must - Terraform IAC experience - Docker and K8s - Strong GCP experience (BigQuery, Dataform, Airflow, Datastream); API development and data modelling expertise - Real-time processing - Kafka, Pyspark, Flink - Proven ETL/CI-CD skills - Bachelor's in Computer Science, Data Science, Information Systems, or equivalent - Google Cloud certifications (Professional Data Engineer, Cloud Architect) a plus - Passion for gaming and collaborative mindset Benefits - Enjoy autonomy with cutting-edge GCP tech - Mentorship from a global team - Real impact on products - Flexible remote options - Professional development budgets - A culture celebrating diverse ideas Equal Opportunities We hire for skills, drive, and fresh perspectives—regardless of background, gender, age, race, ethnicity, disability, sexual orientation, religion, neurodiversity, or career journey. Diverse teams drive our success; bring your unique view to thrive here.

Object Computing, Inc. (OCI) OCI is seeking experienced Data Engineers to design, develop, and manage data infrastructure for internal and client projects within our AI/ML & Data Insights team. About OCI We provide a collaborative environment focused on innovation, leveraging open-source software and strategic partnerships with Amazon and Google to build transformative technology solutions. Job Responsibilities Design, build, and optimize large-scale data pipelines (Azure, AWS, GCP) Develop data ingestion and storage solutions. Implement scalable APIs and ensure system performance. Manage big data infrastructure and cloud deployments. Collaborate with developers, designers, and data scientists. Work in an Agile/DevOps environment. Core Competencies ETL data engineering (Databricks, SQL Server, Snowflake, BigQuery, Apache Spark). Proficiency in Go, Java, Python, or Scala. Proficiency in CI/CD pipelines and Infrastructure as Code (IaC) (Terraform, CDK, Ansible). Hands-on experience with event-driven architectures (Kafka, Pulsar). Strong knowledge of data warehousing, SQL/NoSQL databases, and cloud platforms. Experience with distributed computing, DevOps tools, and data governance. Familiarity with Delta Lake, Unity Catalog, Delta Sharing, and DLT. Preferred Qualifications