4186 Bigquery Jobs - Page 33

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key SkillsSQL,Python,data warehousing,etl,amazon redshift,bigquery,data engineering,AWS,machine learning,real-time data processing,Java,spring boot,microservices,spark,Kafka,Cassandra,Scala,NoSQL,mongodb,Redis,data architecture*

Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred Mandatory Key Skillspython,data warehousing,etl,amazon redshift,bigquery,data engineering,data architecture,aws,machine learning,data flow,etl pipelines,real-time data processing,java,spring boot,microservices,spark,kafka,cassandra,scala,nosql,mongodb,rest...

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key SkillsData analytics,ETL,SQL,Python,Google Big Query,AWS Redshift,Data architecture*

Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred Mandatory Key SkillsPython,AWS Redshift,Google BigQuery,ETL pipelines,data warehousing,data architectures,SQL*

Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred Mandatory Key SkillsETL pipelines,data warehouses,SQL,Python,AWS Redshift,Google BigQuery,ETL*

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key Skills Data analytics,ETL,SQL,Python,Google Big Query,AWS Redshift,Data architecture*

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key Skills - sql,python,data warehousing,etl,amazon redshift,Data Engineering.

Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred Mandatory Key Skillspython,data warehousing,etl,amazon redshift,bigquery,data engineering,data architecture,aws,machine learning,data flow,etl pipelines,real-time data processing,java,spring boot,microservices,spark,kafka,cassandra,scala,nosql,mongodb,rest...

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key Skills ETL pipelines,data warehouses,SQL,Python,cloud data platforms,AWS Redshift,Google BigQuery,machine learning models,Data Engineering

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key Skills ETL pipelines,data warehouses,SQL,Python,cloud data platforms,AWS Redshift,Google BigQuery,machine learning models,Data Engineering.

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key Skills SQL,Python,AWS Redshift,Google BigQuery,machine learning models,ETL,data architectures,Data engineering.

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key Skills Data analytics,ETL,SQL,Python,Google Big Query,AWS Redshift,Data architecture

Job DescriptionDesign and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred.KeywordsSQL,Python,AWS Redshift,Google BigQuery,machine learning models,ETL,data architectures,Data engineering*

Job Description Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred KeywordsPython,AWS Redshift,Google BigQuery,ETL pipelines,data warehousing,data architectures,SQL*

Job DescriptionDesign and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred.Keywordssql,python,data warehousing,etl,amazon redshift,Data Engineering*

Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred Keywords python,data warehousing,etl,amazon redshift,bigquery,data engineering,data architecture,aws,machine learning,data flow,etl pipelines,real-time data processing,java,spring boot,microservices,spark,kafka,cassandra,scala,nosql,mongodb,rest,redis,SQL*

Role : Snowflake Data engineer Work Time : 2:00pm to 11:00pm IST Location : Bangalore, India (Onsite)Only Mode of work: WFO, India. Interview : 3 rounds + online assessment. All candidates will have to go through an online assessment prior to submission. KEY RESPONSIBILITIES: • Designing, implementing, managing scalable data solutions using Snowflake environment for optimized data storage and processing. • Migrate existing data domains/flows from relational data store to cloud data store (Snowflake). • Identify and optimize new/existing data workflows. • Identify and implement data integrity practices. • Integrate data governance and data science tools with Snowflake ecosystem as per practic...

As Senior Scientific Officer -Ensure execution of Formulation, Filling activity of Line-1 and Line -2 and Lyophilizer activity in Line-I in different shifts. 2. To review SOPs, validation protocols, Preventive maintenance schedule, log books, calibration schedules and regulatory guidelines. 3. Ensure: Timely availability of resources and infrastructure. Equipment and facility are to be maintained in optimal operational conditions. On Time in Full (OTIF). Regulatory Compliance Successful adherence to GMP, GDP of the Plant compliance. Provide a culture of continuous improvement in Production. o Create cohesive and peak performance for Production team o Consolidates inputs from all subordinates...

As a Google AI Architect, your role will involve leading the design, development, and deployment of advanced AI/ML solutions utilizing Google Cloud Platform (GCP) and Vertex AI. You should have a strong background in enterprise architecture and cloud-native AI/ML systems, with proven experience in driving end-to-end AI transformation initiatives across various industries. Key Responsibilities: - Define and drive AI/ML architecture strategies using GCP services such as Vertex AI, BigQuery ML, TensorFlow, and Generative AI Studio. - Lead the design and implementation of AI solutions across enterprise applications, data platforms, and customer-facing products. - Architect and deploy scalable, s...

Role Overview: You are a skilled Looker Developer with 6 to 9 years of experience, having a strong background in Google Cloud Platform (GCP). Your primary responsibility will be to design, build, and optimize scalable data models, dashboards, and analytics solutions. Your expertise in LookML, data visualization, and GCP data services such as BigQuery, Cloud Storage, and Dataflow will be crucial for this role. Key Responsibilities: - Develop and maintain Looker dashboards, Looks, and Explores to provide valuable business insights. - Create and optimize LookML models, views, and derived tables. - Collaborate with business and data engineering teams to understand reporting needs and transform t...

Role Overview: You will be responsible for building end-to-end data applications by integrating backend APIs with analytical front-ends. With over 3 years of IT experience, you are expected to have a good understanding of analytics tools for effective data analysis. Your ability to learn new tools and technologies will be crucial for this role. You should have prior experience working with at least one Structural (SQL/Oracle/Postgres) and one NoSQL database. A strong understanding of Data Warehouse (DW), Data Mart, and Data Modelling concepts is essential, and you should have been part of a Data Warehouse design team in at least one project. Key Responsibilities: - Develop high performance a...

Job Title: SQL Developer Cloud Data Platforms (Redshift / BigQuery) Job Description: Design, develop, and optimize SQL queries, procedures, and ETL workflows for large-scale datasets. Work with cloud-based data warehouses such as Amazon Redshift , Google BigQuery , or Snowflake . Build and maintain data pipelines ensuring high performance and reliability. Collaborate with data engineers and analysts to support reporting and analytics requirements. Implement data modeling, partitioning, and performance tuning strategies. Manage data integration from multiple sources (APIs, flat files, and databases). Ensure data quality, accuracy, and compliance with best practices. Support migration of on-pr...

Role Overview: At Network Science, you will play a crucial role as a Database Architect in the AI Platform Engineering team. Your main responsibility will be to ensure the integrity, availability, and scalability of data on our AI platforms and SaaS products. By designing and optimizing enterprise-grade databases, you will contribute significantly to the success of our high-performance applications and secure global deployments. Key Responsibilities: - Design, develop, and optimize databases for AI-enabled platforms and SaaS products - Build scalable, secure, and high-performance data architectures using relational and NoSQL technologies - Collaborate with product, AI, and engineering teams ...

As a Senior Product Manager at our company, you will play a crucial role in accelerating the development of our data platform stack. You will be responsible for driving our enterprise-wide strategy to enhance the end-to-end user experience in our data landscape. Working closely with technical and non-technical stakeholders, you will develop a platform that addresses Wayfair's pain points, business KPIs, and technical gaps to deliver a seamless data journey that delights our customers and suppliers. **Key Responsibilities:** - Serve as the subject matter expert and owner of your products and the Wayfair data experience - Prioritize feature requests by evaluating business value, impact, risks,...

GCP Data Engineer We are seeking a skilled GCP Data Engineer with 5 to 10 years of experience in cloud-based data engineering, including minimum 5+ years of hands-on work with GCP services such as BigQuery, Dataflow, Airflow , and Python . Key Responsibilities Design, develop, and deploy scalable IoT data pipelines using GCP services. Build and optimize data workflows using BigQuery , Dataflow , and Airflow . Write clean, reusable, and maintainable Python code for data processing tasks. Monitor and troubleshoot data ingestion and transformation processes to ensure reliability. Collaborate with cross-functional teams to integrate IoT data with analytics and monitoring platforms. Implement sec...