2165 Amazon Redshift Jobs - Page 8

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....

Job Title: Data Engineer Employment Type: Full Time, Permanent Position Location: Noida/Hyderabad Qualifications: BE/B.Tech/MCA Degree in Computer Science, Engineering, or similar relevant field Total Experience: 8+ years Working Model: Work from Office ABOUT THE ROLE We are seeking a skilled Senior Data Engineer/Lead Engineer to design, build, and maintain robust data infrastructure and pipelines that enable our organization to leverage data for strategic decision- making. The ideal candidate will have strong technical expertise in data engineering, cloud technologies, and data architecture, with a passion for building scalable and efficient data solutions. PRIMARY RESPONSIBILITIES : • Tran...

Number of Openings* 1 Approved ECMS RQ* 542217 Duration of contract* 6 Months (may extends) Total Yrs. of Experience* 7 to 10 Yrs. Relevant Yrs. of experience* 7+ yrs. Detailed JD *(Roles and Responsibilities) Professional Experience: Minimum 7 years in data engineering Integration & Data Warehousing: Proficiency in SnapLogic and Snowflake Design Skills: Strong background in data modeling Programming: Advanced knowledge of Python and SQL Data Transformation/Development: Experience with DBT is preferred AWS Data Engineering: Hands-on expertise with AWS Glue, Amazon Redshift, Amazon S3 (S3 bucket experience is required), Amazon Kinesis, AWS Lambda, and Amazon EMR; deep familiarity with S3 is m...

The opportunity: This role involves managing or performing work across multiple areas of an organizations overall IT Platform/Infrastructure including analysis, development, and administration of IT Systems Software, Hardware, and Databases. How youll make an impact: Oversee the administration, configuration, and maintenance of the applications platform to ensure optimal performance and availability. Collaborates with IS Service Managers, Application Manager, Solution Architect and Specialists to estimate the effort for IS solution/services development, change requests and releases. Is responsible for entire requirements management process. Ensure that the final solution meets business objec...

Educational Requirements Bachelor of Engineering,BTech,BSc,BCA Service Line Cloud & Infrastructure Services Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams...

Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing opti...

Design and develop integration of Snowflake with a cloud platform and platform enhancements, integrations, and performance optimisation. Work on data ingestion using Python, cataloguing, and lineage tracking, Develop and architect ETL workflows. Required Candidate profile 5 years in developing and scaling data platforms centered around Snowflake, with Azure. Hands on Python Understanding of modern data architectures such as Data Mesh, Lakehouse, and ELT.

? Mentor and guide engineering teams in all aspects of the SDLC. ? Lead technical design sessions and translate ideas into robust technical architecture. ? Develop and maintain scalable, high-performance data pipelines and streaming systems. ? Use Python, SQL, Scala, NodeJS, and work with relational databases, NoSQL stores, and Kafka. ? Refactor and optimize legacy codebases for improved performance and scalability. ? Collaborate with product and engineering teams to deliver innovative solutions in an agile environment. ? Support technical support teams with ad-hoc data queries and operational troubleshooting. ? Ensure data pipelines and APIs meet enterprise-grade performance and usability s...

? Design, develop, and maintain scalable data pipelines and streaming systems. ? Work with Python, SQL, Scala, NodeJS, and various data stores (relational, NoSQL, Kafka). ? Analyze healthcare and marketing datasets using SQL. ? Refactor and optimize existing codebases for performance improvements. ? Collaborate closely within an agile team to deliver creative technical solutions. ? Support ad-hoc data requests and assist technical support teams as needed. ? Ensure high performance of data ingestion, transformation, and API consumption layers. ? Follow best practices for coding, testing, CI/CD, and cloud deployments