2165 Amazon Redshift Jobs - Page 4

About The Role Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : Python (Programming Language) Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. Your typical day will involve collaborating with various stakeholders to gather and analyze requirements, creating design specifications, and ensuring that the applications ...

About The Role 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 : PySpark Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementi...

AWS data developers with 8-10 years experience certified candidates (AWS data engineer associate or AWS solution architect) are preferred Skills required - SQL, AWS Glue, PySpark, Air Flow, CDK, Red shift Good communication skills and can deliver independently Mandatory Competencies Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift Beh - Communication Big Data - Big Data - Pyspark Database - Database Programming - SQL Programming Language - Python - Apache Airflow

Responsibilities Data Architecture: Develop and maintain the overall data architecture, ensuring scalability, performance, and data quality. AWS Data Services: Expertise in using AWS data services such as AWS Glue, S3, SNS, SES, Dynamo DB, Redshift, Cloud formation, Cloud watch, IAM, DMS, Event bridge scheduler etc. Data Warehousing: Design and implement data warehouses on AWS, leveraging AWS Redshift or other suitable options. Data Lakes: Build and manage data lakes on AWS using AWS S3 and other relevant services. Data Pipelines: Design and develop efficient data pipelines to extract, transform, and load data from various sources. Data Quality: Implement data quality frameworks and best pra...

Analyze complex data sets using R and SAS tools to identify trends and patterns.Develop and maintain databases, data systems, and computer models to support business operations.Collaborate with cross-functional teams Required Candidate profile Strong proficiency in R and SAS programming languages. Experience working with large datasets and complex data systems. Excellent analytical, problem-solving, and communication skills.

Core Technical Skills: Strong ability to create and optimize complex queries for analysis using Amazon Redshift or similar database services. Skilled in Python scripting to develop and maintain automation scripts, monitoring tools, and alerts. Ability to translate business needs to technical specifications, understand the requirements thoroughly and work closely with internal stakeholders to ensure the deliverability on time with great quality. Ability to create and manage database tables, maintain data integrity, and generate reports for ongoing monitoring and analysis. Ability to analyse and monitor the automated reports and be proactive in capturing any issues. Ability to interpret data a...

Strong understanding of data integration concepts and ETL/ELT processes.Solid understanding of SQL and relational databases. Bachelor's degree in Computer Science, Engineering, or a related field. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes to support data integration from various sources. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs. Optimize and improve existing data systems for performance, reliability, and scalability. Implement data quality and validation processes to ensure data integrity and accuracy. Manage and monitor data environments, ...

We are seeking an experienced Senior SAP BTP Dynamic Forms Consultant to drive the creation, configuration, and management of dynamic forms using SAP Business Technology Platform (BTP). The ideal candidate will have hands-on expertise with BTP Build Apps, Workzone, and dynamic forms design, along with workflow integration and accessibility configurations. Key Responsibilities : Dynamic Forms Design & Implementation : - Design and implement dynamic forms using low-code/no-code form designers. - Configure and manage form controls, including static images, text fields, dropdown menus, calculated fields, and attachments. - Create and edit form definitions to meet complex business requirements. -...

We are looking for a skilled Data Engineer with expertise in PySpark, AWS, and SQL to support data processing and analytical initiatives. This role involves working closely with data engineering and data science teams to build, maintain, and optimize large-scale data pipelines and integrations on AWS. The ideal candidate will be proficient in ETL processes using PySpark and SQL, with a deep understanding of cloud data infrastructure, specifically within the AWS ecosystem. Key Responsibilities : Data Pipeline Development : - Design, build, and optimize ETL pipelines using PySpark for data ingestion, transformation, and storage on AWS. - Collaborate with stakeholders to understand data require...

Grade Level (for internal use): 10 The Role: Senior Data Engineer The Team: The MI Sustainability team is dedicated to driving sustainable business practices through innovative data solutions. We are a diverse group of passionate individuals committed to leveraging technology to promote environmental and social responsibility. Our team values collaboration, creativity, and a global mindset, striving to make a positive impact within our organization and the broader community. The Impact: This role contributes significantly to the business by developing and maintaining scalable data pipelines that support the increasing complexity of data. The successful candidate will enable cross-functional ...

Build and optimize large-scale data platforms on AWS. Must have strong skills in PySpark, AWS Glue, Redshift, S3, and Lambda. Design robust ETL/ELT pipelines in a fast-paced environment. Apply now recruiter2@rankskills.in Perks and benefits Mediclaim policy & Personal Accident Policy

Experience: 6-8 years of hands-on experience in data engineering and architecture. Demonstrated expertise with: Palantir Foundry (Quiver pipelines, Ontology modeling, Workshop) AWS data services (S3, Glue, Redshift, Lambda, IAM, Athena) Snowflake (warehouse design, query tuning, secure sharing) Key Responsibilities Design and maintain an integrated data architecture connecting Palantir Foundry , AWS services , and Snowflake for secure and scalable data access. Drive performance optimization strategies including partitioning , clustering , caching , and materialized views . Ensure interoperability across Foundry (Quiver, Workshop, Ontology) , Snowflake schemas , and AWS S3-based data lakes . ...

Experience building on AWS using S3, EC2, Redshift, Glue, EMR, DynamoDB, Lambda, Quick Sight, etc. Experience in Pyspark/Spark / Scala Experience using software version control tools (Git, Jenkins, Apache Subversion) AWS certifications or other related professional technical certifications Experience with cloud or on-premises middleware and other enterprise integration technologies. Experience in writing MapReduce and/or Spark jobs. Demonstrated strength in architecting data warehouse solutions and integrating technical components. Good analytical skills with excellent knowledge of SQL. 8+ years of work experience with very large data warehousing environment Excellent communication skills, b...

About the Role: We are looking for a skilled QA Engineer to join our agile development team and take ownership of quality across core components and cloud data warehouse platforms. If you're passionate about testing, automation, and data reliability , this is a great opportunity to work with modern technologies and complex systems. Experience with cloud data platforms like Snowflake, Redshift, Databricks, or BigQuery will be a strong plus. Youll work closely with data engineers and platform teams to build robust automated test frameworks that help us ensure scalable, reliable, and accurate systems . What Youll Do: Develop and implement test strategies for core services and data pipelines. Bu...

We are looking for a skilled QA Engineer to join our agile development team and take ownership of quality across core components and cloud data warehouse platforms. If you're passionate about testing, automation, and data reliability , this is a great opportunity to work with modern technologies and complex systems. Experience with cloud data platforms like Snowflake, Redshift, Databricks, or BigQuery will be a strong plus. Youll work closely with data engineers and platform teams to build robust automated test frameworks that help us ensure scalable, reliable, and accurate systems . What Youll Do: Develop and implement test strategies for core services and data pipelines. Build and execute ...

We are looking for a skilled QA Engineer to join our agile development team and take ownership of quality across core components and cloud data warehouse platforms. If you're passionate about testing, automation, and data reliability , this is a great opportunity to work with modern technologies and complex systems. Experience with cloud data platforms like Snowflake, Redshift, Databricks, or BigQuery will be a strong plus. Youll work closely with data engineers and platform teams to build robust automated test frameworks that help us ensure scalable, reliable, and accurate systems . What Youll Do: Develop and implement test strategies for core services and data pipelines. Build and execute ...

Must-Have Skills: Expertise in AWS CDK, Services(Lambda, ECS, S3) and PostgreSQL DB management. Strong understanding serverless architecture and event-driven design(SNS, SQS). Nice to have: Knowledge of multi-account AWS Setups and Security best practices (IAM, VPC, etc.), Experience in cost optimization strategies in AWS. AWS Redshift, Aurora, AWS Glue, AWS Lambda, etc. Extensive experience with Data gathering and ingestion (from multiple sources), and manipulation, orchestration and optimization on AWS Cloud Experience with SQL PySpark Python Developing RESTful APIs Skilled in using ETL tools Proven track record of leading multi-shore teams on sizable Cloud + Data initiatives Working in an...

Dear Candidate, This is with reference to your profile on the job portal and Screen Select Deloitte India Consulting has an immediate requirement for the following role. Job Notice period: Looking for immediate 4 Weeks (Max) Location : Any Location Is fine Job Description Job Summary: We are seeking a highly skilled and experienced Data Engineer with strong expertise in AWS services, PySpark, EMR, Snowflake, and PostgreSQL. The ideal candidate will be responsible for designing, developing, and optimizing data pipelines and analytics solutions in a cloud-native environment. Key Responsibilities: • Design and implement scalable data pipelines using AWS services (EMR, S3, Lambda, Glue, etc.) • ...

Job Purpose The Senior Data Engineer will be responsible for designing, building, and maintaining scalable and efficient data pipelines and architectures for the Enterprise Data Platform. This role will focus on enabling high-quality, reliable, and timely data access for analytics, reporting, and business decision-making. Working closely with business analysts, data scientists, and architects, the Senior Data Engineer will ensure data solutions meet business needs and adhere to best practices and governance standards Duties and Responsibilities Design and implement robust, scalable, and high-performance data pipelines and ETL/ELT processes. Develop, optimize, and maintain data architectures ...

Are you excited by the prospect of wrangling data, helping develop information systems/sources/tools, and shaping the way businesses make decisions? The Go-To-Markets Data Analytics team is looking for a skilled Senior Data Engineer who is motivated to deliver top notch data-engineering solutions to support business intelligence, data science, and self-service data solutions. About the Role: In this role as a Senior Data Engineer, you will: Design, develop, optimize, and automate data pipelines that blend and transform data across different sources to help drive business intelligence, data science, and self-service data solutions. Work closely with data scientists and data visualization team...

Are you excited by the prospect of wrangling data, helping develop information systems/sources/tools, and shaping the way businesses make decisions? The Go-To-Markets Data Analytics team is looking for a skilled Data Engineer / Senior Data Engineer who is motivated to deliver top notch data-engineering solutions to support business intelligence, data science, and self-service data solutions. About the Role: In this role as a Data Engineer / Senior Data Engineer, you will: Design, develop, optimize, and automate data pipelines that blend and transform data across different sources to help drive business intelligence, data science, and self-service data solutions. Work closely with data scient...

AWS data developers with 6-10 years experience certified candidates (AWS data engineer associate or AWS solution architect) are preferred Skills required - SQL, AWS Glue, PySpark, Air Flow, CDK, Red shift Good communication skills and can deliver independently Mandatory Competencies Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift Big Data - Big Data - Pyspark Beh - Communication Database - Database Programming - SQL

AWS data developers with 8-10 years experience certified candidates (AWS data engineer associate or AWS solution architect) are preferred Skills required - SQL, AWS Glue, PySpark, Air Flow, CDK, Red shift Good communication skills and can deliver independently Mandatory Competencies Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift Beh - Communication Big Data - Big Data - Pyspark Database - Database Programming - SQL Programming Language - Python - Apache Airflow

Responsibilities Data Architecture: Develop and maintain the overall data architecture, ensuring scalability, performance, and data quality. AWS Data Services: Expertise in using AWS data services such as AWS Glue, S3, SNS, SES, Dynamo DB, Redshift, Cloud formation, Cloud watch, IAM, DMS, Event bridge scheduler etc. Data Warehousing: Design and implement data warehouses on AWS, leveraging AWS Redshift or other suitable options. Data Lakes: Build and manage data lakes on AWS using AWS S3 and other relevant services. Data Pipelines: Design and develop efficient data pipelines to extract, transform, and load data from various sources. Data Quality: Implement data quality frameworks and best pra...

We are looking for a highly skilled and experienced Business Intelligent Engineer II to join our team in the IT Services & Consulting industry, specifically with Amazon Shipping. The ideal candidate will have a strong background in business intelligence and analytics, with experience working on Amazon projects. Roles and Responsibility Design and develop business intelligence solutions using various tools and technologies. Collaborate with cross-functional teams to identify business requirements and develop solutions. Analyze data and provide insights to stakeholders through reports and dashboards. Develop and maintain databases and data systems to support business intelligence initiatives. ...