251 to 275 of 2,514 Permanent Snowflake Jobs

migrate from current to cloud based databases Developing optimization plan and automated solutions for post migration environments Certified in AWS Pro Solutions Architect/Snowflake SnowPro, and/or GCP Pro Cert. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and More ❯

most or all of the following: Technical Mastery: Expertise in cloud data platforms (AWS, Azure, GCP) and enterprise data solutions (e.g., Microsoft Fabric, Databricks, Snowflake). Proficiency in programming languages like Python, R, or SQL and experience with Power Platform applications. Strong knowledge of generative AI tools, geospatial analytics, and More ❯

Python. Experience building scalable, high-quality data models that serve complex business use cases. Knowledge of dbt and experience with cloud data warehouses (BigQuery, Snowflake, Databricks, Azure Synapse etc). Proficiency in building BI dashboards and self-service capabilities using tools like Tableau and Looker. Experience communicating with business stakeholders More ❯

Azure Cloud infrastructure, data stores connections, cloud functions concepts. • Experience in programming languages like Python, Java, or C#. • Experience in cloud data platforms like Snowflake, Databricks or Azure Synapse. • Good understanding of Data Modelling techniques. Ideally, you'll also have • Relevant academic background • Participation in the opensource community • Expertise in More ❯

. • Proficiency 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 More ❯

. • Proficiency 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 More ❯

. • Proficiency 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 More ❯

. • Proficiency 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 More ❯

maintaining bash scripts Experience writing concise and illustrative documentation Experience Microsoft Azure and Google Cloud Experience with Data Engineering and Analytics products such as Snowflake, Redshift, Google Analytics, Segment, ELK Stack Qualifications Bachelor's degree in computer science or equivalent experience combined with theoretical knowledge What's in it For More ❯

Power Automate. Copilot Studio experience also desirable. Programming language (Python, R or SQL) Hands-on experience with tools such as Microsoft Fabric, Databricks, or Snowflake Consulting Experience: Current experience in a major consulting firm and/or significant consulting background with evidence of effective stakeholder management to address business challenges More ❯

to AI infrastructure Building reliable, scalable, and flexible systems. Influence Opinion and decision-making across AI and ML Skills Python SQL/Pandas/Snowflake/Elasticsearch Docker/Kubernetes Airflow/Spark Familiarity with GenAI models/libraries Requirements 6+ years of relevant software engineering experience post-graduation A More ❯

to AI infrastructure Building reliable, scalable, and flexible systems. Influence Opinion and decision-making across AI and ML Skills Python SQL/Pandas/Snowflake/Elasticsearch Docker/Kubernetes Airflow/Spark Familiarity with GenAI models/libraries Requirements 6+ years of relevant software engineering experience post-graduation A More ❯

to AI infrastructure Building reliable, scalable, and flexible systems. Influence Opinion and decision-making across AI and ML Skills Python SQL/Pandas/Snowflake/Elasticsearch Docker/Kubernetes Airflow/Spark Familiarity with GenAI models/libraries Requirements 6+ years of relevant software engineering experience post-graduation A More ❯

to AI infrastructure Building reliable, scalable, and flexible systems. Influence Opinion and decision-making across AI and ML Skills Python SQL/Pandas/Snowflake/Elasticsearch Docker/Kubernetes Airflow/Spark Familiarity with GenAI models/libraries Requirements 6+ years of relevant software engineering experience post-graduation A More ❯

Responsibilities : 16–18 years' experience in DWBI, Big Data, and Cloud Technologies. Hands-on expertise in at least 2 Cloud platforms (Azure, AWS, GCP, Snowflake, Databricks) and Big Data processing (e.g., Apache Spark, Beam). Proficiency in key technologies like BigQuery, Redshift, Synapse, Pub/Sub, Kinesis, Event Hubs, Kafka More ❯

data platforms ( AWS/Azure/GCP ) ✔️ Experience with ETL processes, data lakes, and data warehouse architectures ✔️ Knowledge of big data technologies (Spark, Kafka, Snowflake, etc.) ✔️ Excellent stakeholder management and ability to translate business needs into scalable solutions What They Offer: 💰 Up to ~£95K DOE 🏡 Hybrid flexibility 📈 Career growth - Join More ❯

data platforms ( AWS/Azure/GCP ) ✔️ Experience with ETL processes, data lakes, and data warehouse architectures ✔️ Knowledge of big data technologies (Spark, Kafka, Snowflake, etc.) ✔️ Excellent stakeholder management and ability to translate business needs into scalable solutions What They Offer: 💰 Up to ~£95K DOE 🏡 Hybrid flexibility 📈 Career growth - Join More ❯

data platforms ( AWS/Azure/GCP ) ✔️ Experience with ETL processes, data lakes, and data warehouse architectures ✔️ Knowledge of big data technologies (Spark, Kafka, Snowflake, etc.) ✔️ Excellent stakeholder management and ability to translate business needs into scalable solutions What They Offer: 💰 Up to ~£95K DOE 🏡 Hybrid flexibility 📈 Career growth - Join More ❯

data platforms ( AWS/Azure/GCP ) ✔️ Experience with ETL processes, data lakes, and data warehouse architectures ✔️ Knowledge of big data technologies (Spark, Kafka, Snowflake, etc.) ✔️ Excellent stakeholder management and ability to translate business needs into scalable solutions What They Offer: 💰 Up to ~£95K DOE 🏡 Hybrid flexibility 📈 Career growth - Join More ❯

and attention to detail. Strong communication and collaborative skills. Qualifications: Computer Science, Engineering, Mathematics, Statistics, Physics Degrees are welcome. Business Intelligence, Analytics Masters, DBT, Snowflake and Data Vault certifications as well. More ❯

commercial data engineering or related role Skilled in SQL and data modeling Proficient in data warehouse technologies (such as Amazon Redshift, Google BigQuery, or Snowflake) Hands-on experience with ETL tools and frameworks, including Apache Airflow, Talend, or dbt Strong programming ability in Python or another data-focused language Knowledgeable More ❯

commercial data engineering or related role Skilled in SQL and data modeling Proficient in data warehouse technologies (such as Amazon Redshift, Google BigQuery, or Snowflake) Hands-on experience with ETL tools and frameworks, including Apache Airflow, Talend, or dbt Strong programming ability in Python or another data-focused language Knowledgeable More ❯

commercial data engineering or related role Skilled in SQL and data modeling Proficient in data warehouse technologies (such as Amazon Redshift, Google BigQuery, or Snowflake) Hands-on experience with ETL tools and frameworks, including Apache Airflow, Talend, or dbt Strong programming ability in Python or another data-focused language Knowledgeable More ❯

commercial data engineering or related role Skilled in SQL and data modeling Proficient in data warehouse technologies (such as Amazon Redshift, Google BigQuery, or Snowflake) Hands-on experience with ETL tools and frameworks, including Apache Airflow, Talend, or dbt Strong programming ability in Python or another data-focused language Knowledgeable More ❯

Responsibilities : 16–18 years' experience in DWBI, Big Data, and Cloud Technologies. Hands-on expertise in at least 2 Cloud platforms (Azure, AWS, GCP, Snowflake, Databricks) and Big Data processing (e.g., Apache Spark, Beam). Proficiency in key technologies like BigQuery, Redshift, Synapse, Pub/Sub, Kinesis, Event Hubs, Kafka More ❯