126 to 150 of 816 Permanent Snowflake Jobs

platforms and services (AWS, Azure, GCP) Extensive hands‐on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Software development experience with one or more languages (e.g. Python, Java, Scala, Go) Pragmatic approach to solving ...

uphold data governance standard practices. Qualifications & Skills Advanced SQL: Highly proficient in writing optimized, complex queries across large cloud data warehouses (e.g., Snowflake, BigQuery). Programming & Modelling: Strong proficiency in Python for statistical modeling, forecasting, and machine learning. Statistics & Math: Deep understanding of statistical inference, regression analysis, probability theory, decision ...

data architectures (AWS, GCP, or Azure) Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similar 3–10 years total experience, including 2+ years in a customer-facing technical role (Sales Engineering, Solutions Architect, etc.) Strong ...

cloud platforms and services (AWS, Azure, GCP) Hands-on experience with modern data technologies and tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Pragmatic approach to solving problems Nice to haves Keen interest in modern AI/ML techniques Experience ...

Digital twin analytics.* LLM understanding.**Preferred Certifications*** Google Cloud Data Engineer or Machine Learning Engineer.* Azure Data Scientist or AWS Machine Learning certification.* Databricks, Snowflake, or equivalent data platform certification.* TM Forum SID, Open API, or Autonomous Networks training.**Nice-to-Have Qualifications*** Experience with telecom digital twin platforms.* Experience ...

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 against Background in a data/AI company or cloud provider Industry domain expertise (Media ...

automation, or enterprise data architecture.• Knowledge of public cloud platforms such as AWS, Azure, or GCP, and exposure to cloud data platforms such as Snowflake, Databricks, BigQuery, Redshift, or Microsoft Fabric. Relevant certifications are a plus, although not a requirement.• Strong understanding of analytics workflows, data integration, data governance, automation ...

etc. Experience with data pipeline technologies like AWS Glue, Airflow, Kafka, or other cloud based equivalence. Experience with ETL and data warehousing like Databricks, Snowflake, or equivalent. Container-based deployment experience using Docker and Kubernetes. Strong verbal and written communication skills. NICE TO HAVE: Experience working with or data modeling ...

with data orchestration tools: e.g. Apache Airflow, Dagster. Experience with big data storage and processing technologies: e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs (PostgreSQL/MySQL). Knowledge of event‐driven architectures and streaming technologies: e.g. Apache Kafka, Kafka Streams, Apache Flink. Experience with public cloud environments ...

Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricksAbility to think strategically and relate architectural decisions and recommendations to customer needs. Ability to assess traditional and modern data architectural components based ...

techniques to enhance development and productivity. Desirable skills/experience you may have GCP (e.g. IAM, Cloud Run, GKE, Cloud Storage, VPC networking) Snowflake Data Platform Terraform Gitlab CI Familiarity with SQL Docker and Kubernetes Apache Airflow Observability tools – especially those relevant to Data Platforms DBT Informatica. Salary & Benefits ...

healthcare, financial services or similar) - Knowledge of modern cloud data platforms and Spark-based ecosystems, such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, Snowflake or equivalent - Experience supporting domain-oriented lakehouse, warehouse or data-product implementations - Experience with master-data management, shared identifiers and reference-data governance - Working knowledge ...

healthcare, financial services or similar) - Knowledge of modern cloud data platforms and Spark-based ecosystems, such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, Snowflake or equivalent - Experience supporting domain-oriented lakehouse, warehouse or data-product implementations - Experience with master-data management, shared identifiers and reference-data governance - Working knowledge ...

healthcare, financial services or similar) - Knowledge of modern cloud data platforms and Spark-based ecosystems, such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, Snowflake or equivalent - Experience supporting domain-oriented lakehouse, warehouse or data-product implementations - Experience with master-data management, shared identifiers and reference-data governance - Working knowledge ...

healthcare, financial services or similar) - Knowledge of modern cloud data platforms and Spark-based ecosystems, such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, Snowflake or equivalent - Experience supporting domain-oriented lakehouse, warehouse or data-product implementations - Experience with master-data management, shared identifiers and reference-data governance - Working knowledge ...

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 ...

management experience preferred). Proven Python experience, including data processing, APIs, or service-based architecture. Proven SQL experience (PostgreSQL, SQL Server, and/or Snowflake), including performance tuning and ETL workflows. Experience with cloud-native development (AWS) and containerized environments. , Experience with CI/CD, DevOps practices, and automated testing. ...

Your Talents Include the Following? Deep technical expertise within one or more major cloud data ecosystems, including Microsoft Azure and Fabric, Databricks, AWS and Snowflake, or Google Cloud Platform and BigQuery. Proven experience architecting and implementing enterprise-scale data platforms within client environments. Strong knowledge of modern data architecture patterns ...

deliver scalable, secure, and high-performing data solutions across cloud and on-premises environments. The role requires expertise in modern data platforms including Snowflake, Databricks, Microsoft Fabric, Azure, AWS, and Google Cloud, along with strong knowledge of data modeling, governance, data integration, and AI/ML enablement. Key Responsibilities Enterprise … conceptual, logical, and physical data models. Develop enterprise data roadmaps aligned with business strategy. Data Platform Design Architect modern cloud-based data platforms using Snowflake, Databricks, Azure Synapse, Microsoft Fabric, AWS Redshift, and Google BigQuery. Design Lakehouse, Data Warehouse, and Data Mesh architectures. Build scalable ingestion, transformation, and serving layers. ...

Candidates should have hands-on experience with Python, Spark, SQL, PySpark, and PowerBI, and be comfortable working across AWS/Azure/GCP and Snowflake/Data Bricks. SC clearance eligibility is required. #J-18808-Ljbffr ...

Retail/Corporate Banking Risk & Compliance AML/KYC reporting Regulatory reporting Understanding of financial data governance and audit requirements. Preferred Qualifications Experience with Snowflake, Databricks, or Redshift. Knowledge of data governance tools. Exposure to real-time streaming platforms. Banking domain experience Education Bachelor’s or Master’s degree ...

modellingThe Data Engineer Must have: Experience in building complex data pipelines/ETL/ELT scriptsExtensive experience with SQLExperience with Data Warehouse databases like Snowflake/Redshift/BigQueryExperience with PythonPreferably have some knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDSExperience with implementing Rest ...

scriptsExtensive experience with SQLExcellent knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDSExperience with Data Warehouse databases like Snowflake/Redshift/BigQueryExperience with Python/PySparkExperience with implementing Rest APIs. Business Intelligence (BI) knowledge/experienceKnowledge on tools like Terraform, Airflow, DBT and HarnessModern ...

scriptsExtensive experience with SQLExcellent knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDSExperience with Data Warehouse databases like Snowflake/Redshift/BigQueryExperience with Python/PySparkExperience with implementing Rest APIs. Business Intelligence (BI) knowledge/experienceKnowledge on tools like Terraform, Airflow, DBT and HarnessModern ...

/ELT: Experience using ingestion tooling and orchestration platforms to build and manage automated data pipelines. Cloud Data Platforms: Hands-on experience with Snowflake (highly desirable) or similar cloud-based data warehouses (e.g., BigQuery, Redshift).Additional Programming: Knowledge of C# and experience working within a .NET environment. AI Tooling: Experiencing ...