101 to 125 of 840 Permanent Snowflake Jobs

designing scalable,reliableand maintainable data pipelines. Advanced working knowledge of SQL and Python. Experience working with modern cloud data platforms such as Microsoft Fabric, Snowflake, Databricks,RedshiftorBigQuery. Experience within the Microsoft data ecosystem would beadvantageous. Strong understanding of modern engineering practices including source control, CI/CD, automated testing, code ...

track record of designing end-to-end data systems. Technical proficiency: Solid expertise in SQL and Python, experience with cloud data warehouses (e.g., BigQuery, Snowflake, or Redshift), and data transformation tools (such as dbt). Pipeline mastery: Practical experience building and operating batch or streaming pipelines using orchestration tools like ...

. Knowledge of data governance tools, test suites, and cases. Experience in developing data products for data science and machine learning initiatives. Understanding of Snowflake and Azure Data Factory architecture and optimisation. Knowledge of Agile methodologies and data security requirements, including GDPR. Excellent communication, numeracy, and problem-solving skills. Ability ...

tools. Developing and enhancing data collection procedures to include information that is relevant for building analytic systems, utilising tools such as WhereScape, Azure Synapse, Snowflake, AWS Redshift. Monitoring performance and advising any necessary infrastructure changes, utilising BI tools such as Qlik Sense Cloud, Power BI, or Tableau, as well ...

Computer Science, Engineering, or a quantitative discipline (or equivalent experience)Nice to Have: Databricks certifications (Data Engineer, ML, Platform)Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position againstBackground in a data/AI company or cloud providerIndustry domain expertise (Financial Services, Healthcare ...

Computer Science, Engineering, or a quantitative discipline (or equivalent experience)Nice to Have: Databricks certifications (Data Engineer, ML, Platform)Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position againstBackground in a data/AI company or cloud providerIndustry domain expertise (Financial Services, Healthcare ...

capability across a range of technologies, including products from SAP, Oracle, IBM and Microsoft as well as more specialist technology providers such as Snowflake, Databricks, Cloudera and Infoshare. Atos work with a range of large organisations facing an ever-increasing demand to realise greater value from their data ...

Hands-on background in SQL and Python, and fluency with at least one major cloud provider (AWS or Azure) and modern data platforms (e.g. Snowflake, Databricks). System‐level judgement on how data architecture shapes AI outcomes: designing governed sources for RAG, structuring data for retrieval and orchestration, and deciding ...

development experience - Track record supporting opportunity qualification, bid reviews, proposal development, and client-facing sales activitiesNice to have: Multi-platform technology stack - Experience with Snowflake, Databricks, modern ETL/ELT tools, and relevant certifications (SnowPro, AWS/Azure Data)Data governance & compliance - Strong background in security frameworks, regulatory compliance (GDPR ...

similar financial services is preferential. The knowledge, experience and qualifications that'll helpExperience with finance systems, data warehousing, and business intelligence platforms (e.g., Snowflake, Tableau, Power BI).Proficiency in data management technologies and tools (e.g., Collibra).Exposure to data analytics, automation, or AI/ML tools related to dataUnderstanding ...

similar financial services is preferential. The knowledge, experience and qualifications that’ll help Experience with finance systems, data warehousing, and business intelligence platforms (e.g., Snowflake, Tableau, Power BI). Proficiency in data management technologies and tools (e.g., Collibra). Exposure to data analytics, automation, or AI/ML tools related ...

operating ETL/ELT pipelines and large-scale data architectures. Deep hands‐on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential). Collaboration: Ability ...

level practices for reviewing AI-assisted recommendations and escalating uncertain decisions while maintaining resiliency, security, and auditability outcomes. Extensive experience with AWS, Databricks, or Snowflake platform administration and engineering support is a MUST. Experience with monitoring tools, automation frameworks, and CI/CD pipelines. Proficient in Python application program development ...

vendor, SaaS provider, or professional services organisation. Familiarity with Ataccama or similar enterprise data platforms. Exposure to Hadoop/Spark, NoSQL, XSLT, Hive, Kafka, Snowflake, or Databricks. Python or other programming languages. Familiarity with SDLC, code management and upgrades, and Unix/Linux. Perks & Benefits Long-Term Incentive Program ...

Modellers, Analytics Engineers, Data Scientists, Architects and Product Managers to deliver world-class data products Essential Criteria Required: Strong skills in SQL; experience with Snowflake and DBT. Proficiency in SQL and NoSQL databases. Experience with containerization tools like Docker and orchestration tools like Airflow or Astronomer. Familiarity with cloud platforms ...

core language. Strong expertise in SQL and relational databases. Solid experience with Cloud providers such as AWS, Azure or GCP. Solid experience working with Snowflake and dbt. Strong experience working with different data formats, e.g., CSV, JSON and XML. Expert knowledge in building reliable and scalable Data Pipelines. Deep experience ...

Experience working in gaming, digital products, consumer technology, e-commerce or subscription businesses. Familiarity with modern data engineering and analytics tooling such as Databricks, Snowflake, Git and Airflow. Experience with modern business intelligence and data visualisation tools such as Tableau, Domo or Power BI.Experience applying AI tools, including large language ...

your default way of working rather than something you've picked up Substantial experience with a modern lakehouse or warehouse platform — Databricks ideally, or Snowflake/BigQuery — including the performance, cost and governance decisions that come with running one at scale Real production experience with Fivetran, dbt, or equivalent ingestion ...

analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure).We **ENABLE** hybrid cloud transformation – You will design and implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.We **OPTIMISE** and **SECURE** cloud environments – You will ...

language. Excellent experience of SQL and relational databases. Solid experience of Cloud providers such as AWS, Azure or GCP. Solid experience of working with Snowflake and dbt. Strong experience of working with different data formats, e.g., CSV, JSON and XML. Expertise in building reliable Data Pipelines. Experience operating ...

Experience with market data ingestion, metadata extraction, and event-driven architectures. Experience with some of EKS, Lambda, EventBridge, Step Functions, S3, DynamoDB, AWS Glue, Snowflake, Terraform and Transfer Family. Knowledge of streaming technologies (Kafka, Kinesis) and API integrations, and hands-on experience with monitoring tools (e.g. Grafana) and observability practices. ...

data modeling, pipeline design, and tools like dbt, Airflow, Fivetran, and similar Hands-on experience with cloud data warehouses (BigQuery, Redshift, or Snowflake); understanding of performance optimization, partitioning, and data quality patterns Ability to articulate data strategy and complex technical solutions simply to both technical and non-technical audiences ...

stack of SQL and Python, with experience across ETL and ELT, orchestration, streaming and data warehousing, using tools such as Spark, Kafka, Airflow, dbt, Snowflake, BigQuery or Databricks on AWS, GCP or Azure. Some roles focus on hands-on delivery, others on documenting and structuring that work. Commitment 40 hours ...

cyber security, computer science, engineering, data science or a related discipline, or equivalent professional experience. · Professional cloud data engineering certification is desirable. · Databricks, Snowflake or equivalent data platform certification is advantageous. · Security or cloud security certification is desirable. Core behaviours · Strong ownership, analytical thinking and delivery focus. · Ability to collaborate ...

such as Oracle DBMS/SQL Server, Python, SQL, T-SQL/PLSQL, SSIS, SAP Data Services), cloud data platforms (such as Azure, AWS, Snowflake), and data tools (such as Azure Data Factory, Fabric Data Factory, Synapse, Fabric, Spark, Notebooks), source control (Git) and the DevOps methodology. Ability to design ...