1 to 25 of 206 BigQuery Jobs

Data Engineer, with a strong focus on Google Cloud Platform. In-depth knowledge and hands-on experience with core GCP data services such as: BigQuery: For data warehousing, querying, and analytics. Cloud Dataflow: For batch and stream data processing. Cloud Pub/Sub: For real-time messaging and event ...

enterprise data systems. Preferred Skills• Experience supporting federal government or healthcare data systems . • Familiarity with data warehousing platforms such as Snowflake, Redshift, or BigQuery . • Experience with workflow orchestration tools such as Apache Airflow . • Exposure to data governance, compliance, and security practices in regulated environments . SteerBridge ...

Experience with cloud platforms such as AWS, Azure, or GCP. Exposure to data warehousing concepts and modern data stack tools (e.g., dbt, Snowflake, Redshift, BigQuery). Experience with real-time or stream-processing systems. Background working with higher education data or in a consulting environment. Familiarity with data governance ...

Required 7+ years of software engineering experience, with 3+ years focused on data engineering Deep experience with cloud data platforms, such as Snowflake and BigQuery Proficiency with data pipeline orchestration tools (Airflow, Dagster, or similar) Strong SQL skills and experience with data modeling and warehouse design Experience with data ...

cloud data build tools such as DBT and Azure services. Cloud data engineering experience. Hands-on experience with cloud data platforms such as Snowflake, BigQuery, or Redshift. Familiarity with AWS or Azure. Strong SQL skills. 2+ years of Power BI experience including Report Builder, Desktop, and Service (preferred). ...

tools like Apache Airflow, Spark, or similar Programming experience in Python, Java, or Scala Preferred Qualifications Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) Familiarity with big data technologies (e.g., Hadoop, Kafka) Knowledge of containerization and orchestration (Docker, Kubernetes) Experience with CI/CD pipelines and DevOps practices ...

consistency verification, and rollback strategies Cross-platform optimisation: Knowledge of leveraging PostgreSQL features to improve performance during migration scenarios Proficiency in data warehousing (Redshift, BigQuery) Strong communication and collaboration skills, with the ability to work effectively in a team environment. Proficiency in oral and written English You might also ...

Apache Airflow, Spark, dbt, Kafka, Databricks, or Flink. • Tech Stack & Tools: Strong skills in SQL, Python or Scala, and working with data warehouses (Snowflake, BigQuery, Redshift) and data lakes (e.g., Delta Lake, Lakehouse architecture). • Infrastructure & Ops: Familiar with cloud platforms (AWS, GCP, Azure), containerization (Docker/Kubernetes ...

based data architectures (GCP experience essential) Proficiency in Python, SQL, (epsoure to Java, Kotlin, Bash) Hands-on experience with modern data tools such as BigQuery, Dataflow, Pub/Sub, dbt, Kubernetes, or similar Experience building and maintaining data pipelines Familiarity with CI/CD, Git, Terraform, and modern engineering ...

datastores such as Redshift (preferred), Snowflake, SQL Server, etc. Experience working with Cloud warehousing solutions such as AWS Glue (preferred), Azure Data Factor, GCP BigQuery, etc. Experience with BI and reporting tools such as QuickSight (preferred), Tableau, or PowerBI. Proficiency in at least one modern programming language (e.g., Python ...

Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus) Data & Engineering Excellence Lead the evolution of modern data platforms (Databricks, Snowflake, Synapse, BigQuery) Ensure robust data engineering practices (Airflow, dbt, Prefect) and governance (Collibra, Purview) Drive scalable lakehouse architectures (Delta Lake, Iceberg, Hudi) Cloud, Infrastructure & MLOps Champion ...

write efficient, scalable, and well-structured queries for analytics and data transformation. Hands-on experience with modern cloud data warehouses (e.g., Snowflake, Redshift, BigQuery). Experience designing, building, and maintaining dbt projects, including staging, transformation, and analytics layers. Proven experience developing and maintaining Tableau dashboards and reporting solutions. Experience ...

neural networks, MLOps practices and model deployment. Data Platforms: relational and NoSQL databases, time‐series stores, cloud data services (AWS Redshift, Azure Synapse, Google BigQuery) and distributed computing frameworks. Analytics & BI: Tableau, Power BI, matplotlib/Plotly, Excel or similar tools for data storytelling. AI Ethics & Security: bias detection ...

Python for data analysis, statistical modeling, and machine learning (e.g., pandas or polars, scikit-learn, statsmodels) Strong SQL and data warehouses (e.g., Redshift, Snowflake, BigQuery) skills. We use Redshift Experience using tools and best practices for reproducible research (e.g., version-controlled analysis, environment management, documented workflows) Strong foundation ...

metrics for platform health, developer productivity, and ML/AI adoption . What You Will Do: Own end-to-end analytical data modeling in BigQuery using dbt . Build reliable data pipelines utilizing SQL, Python, and distributed processing frameworks (Apache Spark, Scio, Beam, or Flink). Develop clear, story ...

experience in data engineering, analytics, or a similar role Working knowledge of SQL and data modelling principles Experience with cloud data warehouses (e.g. Snowflake, BigQuery, Redshift) Dashboarding experience using tools such as Power BI, Tableau, or Looker Strong analytical thinking and problem-solving skills Comfortable working with non-technical ...

Hands-on experience with at least one major BI tool (e.g. Tableau, Power BI, Looker, etc.) Experience working with cloud data platforms (e.g. Snowflake, BigQuery, Redshift, Databricks) Understanding of ETL/ELT processes and data transformation workflows Experience working with non-technical stakeholders and translating requirements Nice to Have ...

computing framework like Apache Spark (using PySpark). Familiarity with cloud data services ( AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud Storage ). Exposure to workflow orchestration tools ( Apache Airflow, Prefect, or Dagster ). Bachelor's degree in Computer Science, Engineering, Information Technology ...

includes: Multi-channel marketing Lead generation Consumer research Digital data analysis Experience with SQL/Python Utilisation of cloud data storage such as Google BigQuery, Azure, AWS Experience working with CDPs Experience working with AI resources Why Join Us You'll join a collaborative, insight-driven team where data ...

includes: Multi-channel marketing Lead generation Consumer research Digital data analysis Experience with SQL/Python Utilisation of cloud data storage such as Google BigQuery, Azure, AWS Experience working with CDPs Experience working with AI resources Why Join Us You'll join a collaborative, insight-driven team where data ...

building out monitoring dashboards and alerting systems. Design, build, and maintain reliable ETL pipelines using Python and SQL to ingest new data sources to BigQuery environment. Partner with internal teams to identify, automate, and streamline recurring data workflows. Stay up-to-date on modern trends and solutions ...

HealthTech, MedTech, or related sectors preferred) Strong SQL and Python (or similar programming languages) Hands-on experience with modern data platforms (e.g. Snowflake, Databricks, BigQuery, Redshift) Experience working with cloud technologies (AWS, Azure, or GCP) Solid understanding of data modelling, warehousing, and pipeline development Experience handling sensitive or regulated ...

understanding of data modernization, management, and value realization Familiarity with AI, BI, and analytics ecosystems Experience with cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery, Redshift) Experience with BI tools (Power BI, Tableau, Looker) Track record of closing £500K–£3M deals Comfortable selling consulting, implementation, and managed services Ability ...

machine learning workflows or MLOps for deploying and monitoring models in production. • Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). • Knowledge of network protocols and programming around HTTP(s), SSH, TCP and UDP • Development experience within secure or classified environments particularly where ...

machine learning workflows or MLOps for deploying and monitoring models in production. • Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). • Knowledge of network protocols and programming around HTTP(s), SSH, TCP and UDP • Development experience within secure or classified environments particularly where ...