1 to 25 of 334 BigQuery Jobs

critical for structuring data for analysis. Proficiency in cloud platforms, such as AWS and GCP, with hands-on experience in services like Databricks, Redshift, BigQuery, and Snowflake, is highly valued. Advanced Python skills for data manipulation, automation, and scripting, using libraries like Pandas and NumPy, are necessary for effective More ❯

strong analytical and problem-solving skills. Excellent communication and stakeholder engagement skills. Desirable: Experience with cloud data platforms (e.g., Azure Synapse, AWS Redshift, Google BigQuery). Knowledge of data governance frameworks and data quality management. Competence in data modelling and database design techniques. Experience working in agile or hybrid More ❯

needed. Requirements: Strong proficiency in Python for data engineering tasks. Experience with cloud platforms (e.g., AWS, Azure, or GCP), including services like S3, Lambda, BigQuery, or Databricks. Solid understanding of ETL processes , data modeling, and data warehousing. Familiarity with SQL and relational databases. Knowledge of big data technologies , such More ❯

relational databases (e.g., MySQL, PostgreSQL, Oracle). Experience with cloud-based data platforms (AWS, GCP, Azure) and data warehouse solutions (e.g., Amazon Redshift, Google BigQuery, Snowflake). Experience in scripting languages such as Python, Shell, or Bash. Strong understanding of data integration, data transformation, and data quality practices. Familiarity More ❯

and automation. Familiarity with cloud environments (AWS, Azure, or Google Cloud) for data infrastructure management. Hands-on experience with data warehousing solutions (e.g., Snowflake, BigQuery, Redshift). Excellent analytical skills and a problem-solving mindset, with attention to detail. Experience in procurement, sustainability, or finance is highly valued. English More ❯

and automation. Familiarity with cloud environments (AWS, Azure, or Google Cloud) for data infrastructure management. Hands-on experience with data warehousing solutions (e.g., Snowflake, BigQuery, Redshift). Excellent analytical skills and a problem-solving mindset, with attention to detail. Experience in procurement, sustainability, or finance is highly valued. English More ❯

pipelines. Work with Python and SQL for data processing, transformation, and analysis. Leverage a wide range of GCP services including: Cloud Composer (Apache Airflow) BigQuery Cloud Storage Dataflow Pub/Sub Cloud Functions IAM Design and implement data models and ETL processes. Apply infrastructure-as-code practices using tools More ❯

pipelines. Work with Python and SQL for data processing, transformation, and analysis. Leverage a wide range of GCP services including: Cloud Composer (Apache Airflow) BigQuery Cloud Storage Dataflow Pub/Sub Cloud Functions IAM Design and implement data models and ETL processes. Apply infrastructure-as-code practices using tools More ❯

pipelines. Work with Python and SQL for data processing, transformation, and analysis. Leverage a wide range of GCP services including: Cloud Composer (Apache Airflow) BigQuery Cloud Storage Dataflow Pub/Sub Cloud Functions IAM Design and implement data models and ETL processes. Apply infrastructure-as-code practices using tools More ❯

with a solid understanding of statistical methods Proficiency in BI tools such as Power BI, Tableau, or Looker Experience with cloud-based data environments (BigQuery, Snowflake, AWS, or Azure) Excellent problem-solving abilities and a proactive, analytical mindset Strong communication skills in English; knowledge of Dutch or French is More ❯

techniques, including star and snowflake schemas, for efficient data analysis. Familiarity with cloud platforms such as AWS or GCP, including services like Databricks, Redshift, BigQuery, and Snowflake. Strong Python skills for data manipulation, scripting, and automation using libraries like Pandas and NumPy. Experience managing data architecture within data warehouses More ❯

such as Erwin, ER/Studio,SqlDBM or SQL DB-native modeling tools. Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, GCP BigQuery) and modern data storage solutions. Strong SQL skills and good knowledge of data warehousing, lakehouses, and OLTP/OLAP systems. Solid understanding of data More ❯

in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, Google BigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud More ❯

Expertise in data architecture, data modelling, data analysis, and data migration. Strong knowledge of SQL, NoSQL, cloud-based databases (e.g., AWS Redshift, Snowflake, Google BigQuery, Azure Synapse). Experience in ETL development, data pipeline automation, and data integration strategies. Familiarity with AI-driven analytics Strong understanding of data governance More ❯

attention to detail and commitment to data accuracy. Preferred Skills:• Experience with cloud-based Data Warehouse solutions (e.g., Oracle FDIP, Snowflake, Amazon Redshift, Google BigQuery).• Relevant certifications in data management or ETL tools are a plus. Min Citizenship Status Required: Must be a U.S. Citizen or Work Visa More ❯

e.g., Spark, Kafka). Strong experience with cloud data platforms (e.g., AWS, GCP, Azure). Hands-on experience with data warehousing tools (e.g., Snowflake, BigQuery, Redshift). Comfortable with infrastructure-as-code tools and modern DevOps practices. Strong understanding of data governance, security, and compliance. Excellent communication and leadership More ❯

and Drive. What will I be doing? Design, build, and maintain scalable and reliable data pipelines. Manage Zeelo's serverless centralized data architecture (Fivetran, BigQuery, dbt, and other tools) that supports analytical functions across the business. Design, build, and maintain ETL, ELT and other data pipelines for purposes to More ❯

designing, building, and maintaining scalable data pipelines and ETL processes. Proficiency in SQL and experience working with relational and non-relational databases (e.g. Snowflake, BigQuery, PostgreSQL, MySQL, MongoDB). Hands-on experience with big data technologies such as Apache Spark, Kafka, Hive, or Hadoop. Proficient in at least one More ❯

understanding of data security, GDPR, access control, and encryption best practices. Nice-to-Have Skills Exposure to AWS Redshift, Glue, or Snowflake. Familiarity with BigQuery and Google Analytics APIs. Proficiency in Python, PySpark, or dbt for data transformations. Background in insurance, especially in pricing analytics or actuarial data. Click More ❯

in theTask Order• Excellent communication skills Preferred Skills:• Experience with cloud-based Data Warehouse platforms and solutions (e.g., Oracle FDIP, Snowflake, Amazon Redshift, Google BigQuery).• Relevant certifications in data management or ETL tools are a plus Experience with one or more of the following systems: Maximo, PeopleSoft FSCM More ❯

/ELT pipelines and database technologies like PostgreSQL and MongoDB Familiar with major cloud platforms and tools, ideally Amazon Web Services and Snowflake or BigQuery Solid understanding of data transformation, advanced analytics, and API-based data delivery Ability to work across departments with a collaborative, problem-solving mindset and More ❯

/ELT pipelines and database technologies like PostgreSQL and MongoDB Familiar with major cloud platforms and tools, ideally Amazon Web Services and Snowflake or BigQuery Solid understanding of data transformation, advanced analytics, and API-based data delivery Ability to work across departments with a collaborative, problem-solving mindset and More ❯

data from diverse sources. Strong knowledge of SQL/NoSQL databases and cloud data warehouse technology such as Snowflake/Databricks/Redshift/BigQuery, including performance tuning and optimisation. Understanding of best practices for designing scalable and efficient data models, leveraging dbt for transformations. Familiarity with CircleCI, Terraform More ❯

tools such as Tableau • Experience working with APIs • Experience working with large-scale spatial datasets (billions of rows) and performing geospatial at scale using BigQuery GIS or similar tools • Experience with advanced analytical modelling techniques, including statistical analysis and predictive modelling, particularly applying these to large-scale datasets to More ❯

standards to ensure alignment across teams Experience Experience in a similar analytics engineeringrole Strong SQL skills and experience with data warehouses (e.g., Redshift, Snowflake, BigQuery) Proficiency with dbt or similar data transformation tools Experience with BI tools (e.g., Tableau, Looker) for creating reports and dashboards Knowledge of data governance More ❯