2198 Amazon Redshift Jobs - Page 9

About The Role Project Role Software Development Engineer Project Role Description Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills AWS Redshift Good to have skills AWS Relational Database Service (RDS) Minimum 3 year(s) of experience is required Educational Qualification 15 years full time education Summary As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code for multiple clients. Your day will involve collaborating with team members to ensure the succes...

What you will do In this vital role you will be designing, developing, and maintaining Reporting, Datahub, and System Interfaces applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable software solutions and automating operations, monitoring system health, and responding to incidents to minimize downtime. Youll work as part of a collaborative team and learn from experienced engineers. You will be part of a team specifically focusing on enterprise Revenue Management capabilities integrated with...

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...

Responsibilities: * Design, develop & maintain cloud data pipelines using AWS/Azure & Python. * Optimize ETL processes with PySpark, SQL & DataBricks. * Collaborate on data warehouse architecture & implementation.

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...

Senior AWS Data Engineer (PySpark & Airflow) Location: Bangalore Experience: 3+ Years About the Role We are seeking an experienced AWS Data Engineer with strong expertise in PySpark and Airflow to design, build, and manage large-scale data pipelines on AWS. The ideal candidate will have hands-on experience with cloud-native data engineering, data warehousing, and orchestration, along with a strong understanding of modern data architectures. Key Responsibilities Design, develop, and maintain ETL/ELT data pipelines using PySpark on AWS. Implement and manage workflow orchestration with Airflow . Work with AWS-native services for data storage, processing, and transformation. Build and optimize d...

About the Role: We are looking for a Salesforce Data Cloud Specialist to help us build and optimize our customer data ecosystem using Salesforce Data Cloud, AWS Redshift, and Marketing Cloud. The ideal candidate will have 3+ years of experience working with Salesforce data platforms and exposure to AWS Redshift , data modeling , and marketing automation . This role is instrumental in driving our data-driven personalization initiatives while ensuring all practices are aligned with CIMETs ISO 27001 information security management objectives and data governance standards . Key Responsibilities: Salesforce Data Cloud Management Configure, maintain, and optimize Salesforce Data Cloud components s...

The MLE will design, build, test, and deploy scalable machine learning systems,optimizing model accuracy and efficiency Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs. Required Candidate profile Aws,Aws Cloud,Amazon Redshift,Eks NP : Immediate – 30 Days

Main Purpose • We are recruiting an experienced Senior Software Engineer to develop core frameworks and services that power advanced data and analytics platform on AWS. • Spearhead the architectural design and engineering of innovative solutions that drive the evolution of platform’s core capabilities. • Implementation of shared libraries, frameworks, APIs, SDKs, microservices. • Collaboration with cloud platform engineers, data engineers, data scientists and other software engineers. Knowledge, Skills and Abilities Technical Skillsets: Strong data and software engineering experience: Python, Java, PySpark Proficiency in designing, developing and maintaining APIs, client SDKs, microservices....