2743 Amazon Redshift Jobs - Page 16

Data Engineer AWS | Redshift | Snowflake | AI & Automation Location: Madhapur, Hyderabad Department: Data Engineering / Analytics Employment Type: Full-time About the Role: We are seeking an experienced Data Engineer to join our expanding Data & Analytics team. In this role, you will design and build scalable data pipelines, automate data migration from MySQL RDS (OLTP) to Amazon Redshift or Snowflake (OLAP), and enable AI-driven predictive and generative analytics to power business insights. You’ll work across cloud and AI technologies in the AWS ecosystem, creating intelligent, automated data workflows that reduce manual effort and accelerate data availability for reporting, analytics, and...

About the Role: We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures. The ideal candidate will transform raw data into structured, high-quality datasets to support analytics, reporting, and data-driven decision-making across the organization. Key Responsibilities: 1. Data Pipeline & Architecture Design, develop, and maintain ETL (Extract, Transform, Load) pipelines to process structured and unstructured data. Build scalable and efficient data architectures to support analytics and reporting needs. Optimize data workflows for performance, reliability, and maintainability. 2. Data Integration & Management Integrate data from multiple s...

Proficient in designing, developing and testing code to build data infrastructure and pipeline processes for batch and streaming data in the public (or private) cloud environment such as AWS, Azure, GCP. Familiar with leading practices around large scale data processing, data security and access control. Responsible for developing, provisioning, securing, monitoring and maintaining the data pipelines to support multiple enterprise and consumer applications in various environments such as production, staging, testing and development environments in an automated manner. Collaborate with Engineering teams to determine the infrastructure that is required to support the data pipelines. Monitor he...

Design and develop interactive dashboards, visualizations, and reports using AWS QuickSight. Collaborate with data engineering and business teams to understand requirements and translate them into analytical solutions. Create efficient data models and implement row-level and column-level security in QuickSight. Optimize QuickSight performance through dataset preparation, SPICE optimization, and query tuning. Work with AWS data sources such as Redshift, RDS, S3, and Athena for dashboard integration. Manage and automate QuickSight assets using APIs, SDKs, or AWS CloudFormation. Ensure data accuracy, reliability, and visualization best practices in all deliverables. Develop reusable templates a...

Design develop and maintain scalable data pipelines using Apache Spark on Databricks Write efficient and production ready PySpark or Scala code for data transformation and ETL processes Integrate data from various structured and unstructured sources into a unified platform Implement Delta Lake and manage data versioning updates and schema evolution Optimize data processing workflows for performance scalability and cost efficiency Collaborate with data scientists analysts and business stakeholders to deliver high quality datasets Implement data quality checks validation routines and logging mechanisms Monitor and debug production jobs using Databricks jobs notebooks and clusters Ensure securi...

An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions. This individual should have strong business judgement, excellent written and verbal communication skills. 1. Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc. 2. Improve existing solutions/build solutions to improve scale, quality, IMR efficiency, data availability, consistency & compliance. 3. Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and...

Partner with leadership to identify key opportunities, build financial models, and support strategic decision-making, including ad-hoc analysis and clear communication of financial information across the organization Support and consolidate annual and quarterly budgets, rolling forecasts, and multiyear outlooks for OPEX, CAPEX and P&L costs in collaboration with business unit FP&A teams Collaborate with Business Unit Finance Teams to ensure accuracy and efficiency in all financial processes while fostering a collaborative and outcomes-focused work environment Identify and implement cost-saving opportunities and financial initiatives to drive business growth and profitability Take ownership o...

1) Delivery of standardized performance metrics for global customers (Vendors) and stakeholders (Amazon Private Brands) providing operational bandwidth to Amazon Private Brands teams to focus on business partnering initiatives. 2) Partner with existing BI leader in executing defined roadmap of projects. 3) Provide ad-hoc support to Amazon Private Brands and business services for SQL report creation, modification and optimization. 4) Debug report issues, unblock workflows and communicate with other teams and stakeholders by providing regular status updates. Tools used include: 1 . SQL (Primarily Redshift) 2. ETL tools (internal) 3. Excel 4. Data visualization tools (QuickSight) 5. Report sche...

You bring extensive experience in DBT, including designing and developing technical architecture, data pipelines, and performance scaling. You have leveraged tools to integrate Talend data and ensure data quality in a big data environment. Your PL/SQL skills are very strong, particularly with queries, procedures, and JOIN operations. You have hands-on experience with Snowflake, including writing SQL queries, developing scripts in Unix and Python to perform extract, load, and transform (ELT) operations. Familiarity with Fivetran and hands-on experience with it is a plus. Candidates who have worked in production support environments are preferred. Your background includes direct experience wit...

Serko is a cutting-edge tech platform in global business travel & expense technology. When you join Serko, you become part of a team of passionate travelers and technologists bringing people together, using the world's leading business travel marketplace. We are proud to be an equal opportunity employer, we embrace the richness of diversity, showing up authentically to create a positive impact. There's an exciting road ahead of us, where travel needs real, impactful change. With offices in New Zealand, Australia, North America, and China, we are thrilled to be expanding our global footprint, landing our new hub in Bengaluru, India. With a rapid growth plan in place for India, we're hiring pe...

Greetings from Tata Consultancy Services (TCS) TCS has always been in the spotlight for being adept in the next big technologies. What we can offer you is a space to explore varied technologies and quench your techie soul. What we are looking for : AWS Data Engineer Location : Hyderabad Interview Mode : Virtual mode (Microsoft Teams) Design, develop and maintain scalable and robust data pipelines using Apache Spark and Java on AWS Implement ETL/ELT processes to ingest, transform, and load large datasets from various sources into data warehouse on AWS(e.g S3, Redshift) Develop and Optimize Spark applications using Java to process and analyze large Java to process and analyze large volume of d...

SUMMARY Job Summary You will own and manage the reliability of large-scale data pipelines and storage platforms. Your goal is to ensure availability, data accuracy, and performance of analytics systems while driving automation and observability. Responsibilities Design and maintain highly available data pipelines in Databricks , Azure Data Factory , or AWS Glue . Automate reliability checks, error handling, and notification systems. Implement Infrastructure as Code (IaC) for data resources using Terraform or CloudFormation . Optimize ETL performance and improve recovery mechanisms. Configure and manage data observability tools (Monte Carlo, Bigeye, or custom monitoring). Participate in incid...

SUMMARY Job Summary As a Data SRE Lead, you will architect and oversee end-to-end reliability strategies for data infrastructure. You’ll work with cloud, data engineering, and analytics teams to ensure that critical data services are secure, automated, observable, and resilient. Responsibilities Lead design and automation of resilient data platforms across multi-cloud environments. Drive data reliability frameworks (SLO/SLI metrics, incident prevention, SLA tracking). Oversee monitoring, logging, and cost optimization for big-data environments. Manage data platform scalability, versioning, and fault tolerance. Build recovery and rollback mechanisms for critical data pipelines. Guide teams in...

Responsibilities: Only 6+ allowed Design, develop & maintain ETL processes using AWS Glue, lambda, Python & SQL Optimize performance with Airflow workflows or Step Functions Sound knowledge on Python, spark & optimisation techniques Knowledge of Redshift Office cab/shuttle

Role Responsibilities Design, develop, and maintain the organization's business intelligence and reporting dashboards. Design, develop, and maintain data models and feeds for report development. Prepare insights based on data and reporting solutions. Collaborate with business stakeholders to understand reporting and analysis needs and translate them into technical requirements. Ensure that data is accurate and easily accessible for reporting and analysis. Develop and maintain persona-based dashboards, management reports and executive views to provide business insights. Experienced in Power BI to understand business needs and deliver technical solutions. Follow, learn, and share best practice...

A Senior Solutions Architect at Amazon Web Services (AWS) designs and implements cloud architectures to help customers solve business challenges. They work with customers to: 18+ Years Experience as AWS Solution Architect Design and Implement AWS Cloud Landing AWS Control Tower Understand their business and technical requirements Translate those requirements into technical solutions Design and develop cloud solutions Migrate existing workloads to the cloud Optimize existing solutions Propose AWS new solutions Ensure solutions comply with industry standards and security Lead the technical solution design and creation of architecture blueprints. Perform systems modelling, simulation, and analy...

About the Role: We are seeking a highly skilled Data Engineer to design, build, and optimize scalable data pipelines and infrastructure. The ideal candidate has a strong background in data architecture, ETL processes, and cloud technologies, with a passion for transforming raw data into actionable insights. Key Responsibilities: Design, develop, and maintain robust, scalable, and efficient data pipelines for collecting, processing, and storing large datasets. Build and manage data infrastructure and data models to support analytics, reporting, and machine learning use cases. Implement ETL/ELT processes to ensure high-quality, reliable, and consistent data. Collaborate with cross-functional t...

CACI International Inc is an American multinational professional services and information technology company headquartered in Northern Virginia. CACI provides expertise and technology to enterprise and mission customers in support of national security missions and government transformation for defense, intelligence, and civilian customers. CACI has approximately 23,000 employees worldwide. Headquartered in London, CACI Ltd is a wholly owned subsidiary of CACI International Inc., a publicly listed company on the NYSE with annual revenue in excess of US $6.2bn. Founded in 2022, CACI India is an exciting, growing and progressive business unit of CACI Ltd. CACI Ltd currently has over 2000 intell...

Responsibilities: * Design, develop & maintain cloud data pipelines using Python, Glue & Redshift. * Optimize performance through stored procedures & CI/CD practices.

Role & responsibilities We are looking for an AWS Data Engineer to build and manage scalable data pipelines that support our multi-cloud cost analytics and FinOps initiatives . You will design ETL workflows, develop data models, and collaborate with analytics teams to deliver insights on cloud usage and cost efficiency. Key Skills: AWS Glue, Athena, Redshift, S3, Lake Formation, Python/PySpark, SQL, Terraform, and familiarity with FinOps or cost analytics. Nice to Have: Databricks, Snowflake, or multi-cloud experience.

Description: strong data analyst (with knowledge on SQL and AWS data engineering knowledge). good analytical and strong SQL writing skills Year of experience :7-8yrs Named Job Posting? (if Yes - needs to be approved by SCSC) Additional Details Global Grade :C Level :To Be Defined Named Job Posting? (if Yes - needs to be approved by SCSC) :No Remote work possibility :No Global Role Family :60242 (P) Data Management Local Role Name :60326 AI and Analytics Specialist Local Skills :6170 SQL Languages Required::English Role Rarity :To Be Defined

Description: Primary/Mandatory Experience: - Experience building data pipeline in Python along with AWS services (S3 SNS CloudWatch Lambda Step Function etc) - Proficient in AWS Server less technologies - Technical knowledge of Extract/Transform/Load (ETL) solutions for running analytic projects on the cloud - Candidate must have hands-on technical experience on the AWS cloud native technologies along with traditional ETL tools -Snowflake & DWH experience is a plus Daily Activity: Excellent written and verbal communication skills and be able to lead meetings with technical peers and clients regarding the solution designs. Ability to communicate with the Business Analysts Data Modellers Cloud...

Description: Skills required:Primary:GCP data engineer Big Query SQL Python Talend ETL Programmer GCP or Any Cloud technology. About The Role :: Experienced in GCP data engineer Big Query SQL Python Talend ETL Programmer GCP or Any Cloud technology. Good experience in building the pipeline of GCP Components to load the data into Big Query and to cloud storage buckets. Excellent Data Analysis skills. Good written and oral communication skills Self-motivated able to work independently. Named Job Posting? (if Yes - needs to be approved by SCSC) Additional Details Global Grade :C Level :To Be Defined Named Job Posting? (if Yes - needs to be approved by SCSC) :No Remote work possibility :No Globa...

Data Engineer-29064 Position:FTE, remote, IndiaAvailability-Immediate-1 weekMax rate:28-30 LPAOverlap:4 hours with PST(Pacific Standard Time)Candidate proficiency level:Senior(8+)Requirements:Bachelor's degree or higher in Computer Science, Engineering, or a related field.5+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure.Proficient in SQL and Python, with the ability to translate complexity into efficient code.Experience with data workflow development and management tools (dbt, Airflow).Solid understanding of distributed computing principles and experience with cloud-based data platforms such as AWS, GCP, or Azure.Stro...

About The Role :: As a Data Engineer with AWS experience at [Your Company Name], you will play a crucial role in the design, development, and maintenance of our data infrastructure. Your work will empower data-driven decision-making and contribute to the success of our data-driven initiatives. Key Responsibilities: Data Integration:Develop and maintain data pipelines to extract, transform, and load (ETL) data from various sources into AWS data stores for both batch and streaming data ingestion. AWS Expertise:Utilize your expertise in AWS services such as Amazon EMR , S3, AWS Glue, Amazon Redshift, AWS Lambda, and more to build and optimize data solutions. Data Modeling:Design and implement d...