11527 Redshift Jobs - Page 23

What You Will Do We are seeking a datadriven problemsolver who thrives in ambiguity and excels at translating complex data into decisive action. You will drive the analytical backbone of our digitalsourcing ecosystem by delivering insights, models, and decisionsupport tools that unlock valuecreation opportunities across Amgens global spend. Roles & Responsibilities Data Enablement & Analytics Delivery Design, build, and maintain robust data pipelines that integrate sourcing, supplier, market, and risk data from disparate enterprise systems (SAP, Ariba, SirionLabs, Coupa, etc.). Develop advanced analytics products - dashboards, scorecards, statistical models,and predictive algorithms - to inf...

Description Amazon is a US-based multinational electronic commerce company headquartered in Seattle, Washington. Amazon.com started as an online bookstore, but soon diversified into many other categories, with a vision to be earth's most customer-centric company & to build a place where people can come to find and discover anything they might want to buy online. Amazon's Finance Operations, Accounting & Analysis (FOAA) team is a fast-paced, team- focused, dynamic environment and delivering great experiences for our customers is top priority. We are seeking an exceptional Business Intelligence Engineer to join our Innovations and Automations team. FOAA Innovations and Automations team drives ...

Job Summary We are seeking an experienced Data Architect with expertise in Snowflake, dbt, Apache Airflow, and AWS to design, implement, and optimize scalable data solutions. The ideal candidate will play a critical role in defining data architecture, governance, and best practices while collaborating with cross-functional teams to drive data-driven decision-making. Key Responsibilities Data Architecture & Strategy: Design and implement scalable, high-performance cloud-based data architectures on AWS. Define data modelling standards for structured and semi-structured data in Snowflake. Establish data governance, security, and compliance best practices. Data Warehousing & ETL/ELT Pipelines: D...

Key Responsibilities JOB DESCRIPTION Lead the design and development of scalable, high-performance data architectures on AWS, leveraging services such as S3, EMR, Glue, Redshift, Lambda, and Kinesis. Architect and manage Data Lakes for handling structured, semi-structured, and unstructured data. Design and build complex data pipelines using Apache Spark (Scala & PySpark), Kafka Streams (Java), and cloud-native technologies for batch and real-time data processing. Optimize these pipelines for high performance, scalability, and cost-effectiveness. Develop and optimize real-time data streaming applications using Kafka Streams in Java. Build reliable, low-latency streaming solutions to handle hi...

Experience: 4–8 years Location: Indore / Noida Key Skills: SQL, OLAP (SSAS), any BI tool Good to Have: Cloud, Python Requisition Description: Experience in writing and troubleshooting SQL queries Proficient in database and Data warehousing concepts. Proven hands-on experience in designing, developing, and supporting Database projects for analysis Good written and verbal communication skills. Knowledge and/or experience of the following will be added advantage MDX/ DAX Database design techniques Data modeling SSAS Spark processing Hadoop ecosystem or AWS, Azure, or GCP Cluster and processing Hive Redshift, or Snowflake Linux system Tableau, Micro strategy, Power BI, or any BI tools Programmin...

Intellicus Intellicus is a Big Data BI & Analytics Product company. We simplify the exploration, analysis and visualization of big data for world's largest companies. We are the first company to innovate OLAP on Big Data. Intellicus is a provider of BI and Analytics products to Fortune 500 companies for more than a decade. It has created a footprint of over 12,000+ installations across the world and is growing. More than 60% of the Fortune 500 companies have chosen Intellicus' product over competitors because of its strong emphasis on product engineering and innovation. We want great colleagues with the right mix of aptitude and attitude in this journey of growth. Intellicus thrives on DNA o...

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and d...

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and d...

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and d...

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and d...

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and d...

Employment Type: Contract Job Description Strong experience in o 7 Years in ETL Domain (Mandate) o In 7 Years (3 + years in Talend ETL is (Mandate) o Talend Deployments Development (Mandate) o SQL Queries Writing (Mandate) o Trouble Shooting SQL Queries (Mandate) o DWH (Data Warehouse Concepts) Data Warehouse ETL (Mandate) o Any Cloud database Experience (Mandate) Preferably i.e. Redshift AWS Aurora PostgreSQL Snowflake etc o Dimensional Data Modeling (Optional)

Key Responsibilities: Lead the design and development of scalable, high-performance data architectures on AWS, leveraging services such as S3, EMR, Glue, Redshift, Lambda, and Kinesis. Architect and manage Data Lakes for handling structured, semi-structured, and unstructured data. Design and build complex data pipelines using Apache Spark (Scala & PySpark), Kafka Streams (Java), and cloud-native technologies for batch and real-time data processing. Optimize these pipelines for high performance, scalability, and cost-effectiveness. Develop and optimize real-time data streaming applications using Kafka Streams in Java. Build reliable, low-latency streaming solutions to handle high-throughput d...

DESCRIPTION Our customers have immense faith in our ability to deliver packages timely and as expected. A well planned network seamlessly scales to handle millions of package movements a day. It accurately forecasts the package movements across the network, has monitoring mechanisms that detect failures before they even happen (such as predicting network congestion, operations breakdown). When failures do happen, it has inbuilt redundancies to mitigate impact (such as determine other routes or service providers that can handle the extra load), and avoids relying on single points of failure (service provider, node, or arc). Finally, it is cost optimal, so that customers can be passed the bene...

DESCRIPTION Our customers have immense faith in our ability to deliver packages timely and as expected. A well planned network seamlessly scales to handle millions of package movements a day. It accurately forecasts the package movements across the network, has monitoring mechanisms that detect failures before they even happen (such as predicting network congestion, operations breakdown). When failures do happen, it has inbuilt redundancies to mitigate impact (such as determine other routes or service providers that can handle the extra load), and avoids relying on single points of failure (service provider, node, or arc). Finally, it is cost optimal, so that customers can be passed the bene...

Architecting and designing analytics platform solution for clients Identifying data sources and defining data pipeline, segmentation, and performance engineering for scale Managing team of Data Analyst/ Data Engineers assigning work and reviewing quality of deliverables. Experience in building business reports and dashboards with latest data warehousing and BI tools such as Snowflake/ Cognos/ Tableau/Superset/PowerBI Strong understanding of data modeling, data warehousing concepts and various analytical data models Familiarity with business domains such as healthcare Migration experience highly preferred Azure Cloud experience highly preferred Perform research with new technologies and third...

SQL DBA with Azure PaaS Hands-on experience designing, implementing and maintaining on-premise and Azure PaaS SQL databases required. Experience managing Postgres, CosmosDB and Redshift preferred. Strong scripting and automation skills required Experience auditing environments and making/implementing recommendations Experience supporting a 24/7/365 production environment including On-Call support Ability to work independently without a high level of Subway intervention or management

JOB DESCRIPTION Embark on a dynamic career in tech support, where your skills contribute to maintaining world-class technology solutions to ensure a seamless user experience. As a Technology Support I team member in Commercial and Investment Bank's Markets Tech Team, you will ensure the operational stability, availability, and performance of our production application flows. Be part of the team responsible for troubleshooting, maintaining, identifying, escalating, and resolving production service interruptions for all internally and externally developed systems, ensuring a seamless user experience. Job responsibilities Provide Level 3 (L3) support for production systems, addressing complex i...

Job Description Introduction: Millennium is a global, diversified alternative investment firm, founded in 1989, which manages $84 billion in assets. Defined by evolution, innovation and focus, Millennium's mission is to deliver high-quality returns for our investors. Millennium seeks to empower talented professionals with the sophisticated expertise, resources and technology to pursue a diverse range of investment strategies across industry sectors, asset classes and geographies. Overview: The role involves gathering and running data analytics to improve middle office/operational processes, identify any gaps/risks in procedures and ensure accuracy of regulatory reports. Successful candidate ...

Full-time Job Description The Engineer, Database Administration is technical role within IT Infrastructure. This position is primarily a hands-on resource for building and supporting databases but also contributes to design and planning activities. This role will support ConnectiveRx initiatives by collaborating across teams to provide innovative, efficient, and secure database solutions. Knowledge (concepts of the discipline) Extensive working knowledge of database systems, reporting and data warehouse, integration services, analysis services, performance tuning, SQL tuning, troubleshooting, monitoring, Maintenance Skills (level of measurable proficiencies) Experience with Microsoft SQL Ser...

Country/Region: IN Requisition ID: 31966 Work Model: Position Type: Salary Range: Location: INDIA - NOIDA- BIRLASOFT OFFICE Title: Technical Lead-Data Engg Description: Area(s) of responsibility Roles & Responsibilities for AWS RUN LEAD Technical Leadership & Strategy: Lead the design, deployment, and operation of AWS-managed database services (RDS, Aurora, DynamoDB, Redshift, etc.) ensuring high availability, security, and scalability. Define and implement best practices for database management, monitoring, and troubleshooting in AWS environments. Drive continuous improvement initiatives for run operations, including automation, patching, backups, and disaster recovery. Establish database r...

AWS Data Engineer WorkMode :Hybrid Work Location : Chennai / Hyderabad / Bangalore / Pune /Gurgaon / Mumbai Work Timing : 2 PM to 11 PM Primary : AWS Data Engineer AWS Glue, Redshift, Python, ETL. Design and build scalable data pipelines using AWS services like AWS Glue, Amazon Redshift, and S3. Develop efficient ETL processes for data extraction, transformation, and loading into data warehouses and lakes. Create and manage applications using Python, SQL, Databricks, and various AWS technologies. Automate repetitive tasks and build reusable frameworks to improve efficiency. Skill Proficiency Level expected AWS Data Engineer - AWS Glue, Amazon Redshift, S3 Expert with 8.5 to 10+ years of hand...

DESCRIPTION Whole Foods Market is seeking a Data Engineer to join a team responsible for the operational ownership and technical evolution of a mission-critical enterprise data platform powering WFM's core business operations across Finance, Merchandising, Pricing, Supply Chain, and Marketing. As a Data Engineer, you will be responsible for developing, maintaining, and optimizing business-critical applications and data pipelines that serve 1,600+ active users. You'll work on a complex ERP system built on AWS services, managing everything from data ingestion and ETL processing to report generation and application development. Your work directly impacts WFM's ability to close their books month...

Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : AWS Redshift Good to have skills : Data Engineering Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, d...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Amazon Web Services (AWS) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will play a pivotal role in integrating, and maintaining the infrastructure needed to support data processing and analysis within the client ecosystem. You will collaborate with data scientists, analyst...