2746 Amazon Redshift Jobs - Page 21

Role & responsibilities: We are looking for an experienced Data Engineering Manager with strong hands-on expertise in AWS cloud data services, Python, SQL, and PySpark . The ideal candidate will lead the design, development, and deployment of scalable data pipelines, data lakes, and data warehouse solutions using AWS technologies. This role requires strong technical leadership, project management, and stakeholder collaboration to deliver high-quality data solutions for analytics and business intelligence. Preferred candidate profile: Lead and manage a team of data engineers to design, build, and optimize ETL pipelines using AWS Glue, PySpark, and SQL . Develop and maintain data lakes, data m...

Role & responsibilities: We are looking for an experienced Data Engineering Manager with strong hands-on expertise in AWS cloud data services, Python, SQL, and PySpark . The ideal candidate will lead the design, development, and deployment of scalable data pipelines, data lakes, and data warehouse solutions using AWS technologies. This role requires strong technical leadership, project management, and stakeholder collaboration to deliver high-quality data solutions for analytics and business intelligence. Preferred candidate profile: Lead and manage a team of data engineers to design, build, and optimize ETL pipelines using AWS Glue, PySpark, and SQL . Develop and maintain data lakes, data m...

Role: Solutions Architect - AWS Data and Analytics GTM Experience: 8+ Years, Minimum 5 years on AWS Work location: Mumbai/Bangalore/ Trivandrum (Hybrid) Responsibilities Be a trusted technical advisor to customers and solutions for complex Cloud & Data related technical challenges. Be a thought leader in architecture design and development of cloud data analytics solutions. Liaison with internal and external stakeholders to design optimized data analytics solutions on AWS cloud Partner with SMEs and Solutions Architects from leading cloud providers to present solutions to customers Support Quantiphi Sales and GTM teams from a technical perspective in building proposals and SOWs Lead discover...

Role : AWS Data Engineer/AWS Architect Job location : Chennai/Kolkata/Nagpur Notice : Immediate to 30 days

Hi, Greetings from HR Central !! Job Role - Data Engineer Location: Airoli, Navi Mumbai. Notice Period: Immediate /30 days Education / Qualification BE / B. Tech Certification in Cloud Platforms, AWS or GCP Qualifications & Skills Total Experience: 4 to 8 years in Data Engineering. Mandatory: Strong hands-on coding experience in Python . Experience with Big Data tools and cloud platforms (AWS preferred). Work extensively with Big Data cloud platforms such as AWS (Redshift, Glue, Lambda). Proficiency in SQL , Spark , and PySpark . Exposure to data pipeline orchestration tools like Airflow , Luigi , or Azkaban . Strong problem-solving and analytical skills. Excellent communication and teamwork...

Why Ryan? Global Award-Winning Culture Flexible Work Environment Generous Paid Time Off World-Class Benefits and Compensation Rapid Growth Opportunities Company Sponsored Two-Way Transportation Exponential Career Growth We are looking for a Staff Engineer to join our high-performing technology team. This is a deeply technical, hands-on role suited for someone who thrives on solving complex engineering problems, takes ownership of software architecture and coding decisions, and contributes meaningfully across the product lifecycle—from design and integration to testing and CI/CD. As a Staff Engineer, you will serve as a senior individual contributor, expected to independently architect and de...

Lead Data Engineer Must have 5+ years of experience in below mentioned skills. Must Have Big Data Concepts , Python(Core Python- Able to write code), SQL, Shell Scripting, AWS S3 Good to Have Event-driven/AWA SQS, Microservices, API Development, Kafka, Kubernetes, Argo, Amazon Redshift, Amazon Aurora We are seeking an experienced Architect (ATC) to join our team as a Lead Data Engineer. be responsible for designing, developing, and maintaining our data infrastructure. The ideal candidate will have at least 5 years of experience in Big Data Concepts, Python, SQL, Shell Scripting, and AWS S3. As a must-have, you should be proficient in Core Python and able to write code. It is also important t...

We are seeking an experienced Software QA Engineer to take on a Testing role for the quality assurance of a family of our Enterprise products, focusing on the virtualized environment. Required Candidate profile We are looking for a candidate who can join immediately and is willing to attend a face to face interview as soon as possible.

Must have skills: Python/Scala, Pyspark/Pytorch Good to have skills: Redshift Job Summary Youll capture user requirements and translate them into business and digitally enabled solutions across a range of industries. Your responsibilities will include: Roles and Responsibilities Designing, developing, optimizing, and maintaining data pipelines that adhere to ETL principles and business goals Solving complex data problems to deliver insights that helps our business to achieve their goals. Source data (structured unstructured) from various touchpoints, format and organize them into an analyzable format. Creating data products for analytics team members to improve productivity Calling of AI ser...

Solid experience, knowledge and skills in Data Engineering, BI/software development such as ELT/ETL, data extraction and manipulation in Data Lake/Data Warehouse environment. Proven experience in data modelling, analysis, and profiling. Experience of working in diverse data domains. Continuous improvement and performance optimisation practice ensuring high levels of performance, availability and integrity. Proven consulting and mentoring experience. Experience in working within an Agile environment. Experience in applying DevOps practices, SDLC, CI/CD principles to build automated pipelines and deployment. Other capabilities Hands on in SQL and its Big Data variants (Hive-QL, Databricks) Pyt...

Data Engineering and Data Warehousing Strong experience in SQL and MySQL Expertise in Azure Data Factory ADF and Snowflake Understanding of Medallion Architecture Hands on with ETL and ELT pipeline testing Cloud Computing and Fundamentals Knowledge of Microsoft Azure Fundamentals Data Quality and Testing Experience with automated testing and validation frameworks Python and SODA Skills in data profiling cleansing and anomaly detection Ability to perform root cause analysis and data reconciliation

The Supply Chain & Manufacturing team at ZS is dedicated to optimizing and transforming supply chain operations for our clients across various industries. Out team offers a comprehensive range of services from stragegy and advanced analytics to planning and technology, aimed at optimizing resource deployment while maintaining high customer service levels. We are committed to driving innvotation and efficiency through cutting-edge solutions that address the complex challenges of supply chain and manufacturing operations. What youll do: Lead the technical team consisting of Developers, Senior Engineers, etc. to solve the business problems and lead end to end technical delivery in collaboration...

Design, develop new features for a large-scale cloud data platform using Databricks, snowflake and Fabric, Deeply understand legacy data platforms, and drive their modernization, Provide production support Design data pipelines and data warehouse. Required Candidate profile 5 years in developing and scaling data platforms using Snowflake, databricks, Fabric, Strong Python and SQL Intermediate C# Understanding of modern data architectures such as Data Mesh, Lakehouse

Atleast 4 years of overall experience with solid understanding of software engineering concepts, including programming methodologies and the software development lifecycle. more than 2 years of experience writing SQL queries to analyze and report on data.2plus years of experience writing Python code.Experience on use of git and Jenkins, Docker, Kubernetes, and cloud-based services from providers such as Amazon Web Services.Experience with TDD, automated testing, or writing tests to prove your code does what its supposed to do.

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.

Data Engineer Must have 5+ years of experience in below mentioned skills Must Have Big Data Concepts , Python(Core Python- Able to write code), SQL, Shell Scripting, AWS S3 Good to Have Event-driven/AWA SQS, Microservices, API Development, Kafka, Kubernetes, Argo, Amazon Redshift, Amazon Aurora

Have a passion for design, technology, analysis, collaboration, agility, and planning, along with a drive for continuous improvement and innovation. Exhibit expertise in managing high-volume data projects that leverage Cloud Platforms, Data Warehouse reporting and BI Tools, and the development of relational databases. Research, identify, and internally market enabling data management technologies based on business and end-user requirements. Seek ways to apply new technology to business processes with a focus on modernizing the approach to data management. Consult with technical subject matter experts and develop alternative technical solutions. Advise on options, risks, costs versus benefits...

AWS Data Engineer 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. SkillProficiency Level expected AWS Data Engineer - AWS Glue, Amazon Redshift, S3 ETL Process , SQl, Databricks

Design and build scalable data pipelines using AWS services like AWS Glue, Amazon Redshift, and QS/SNS/Cloudwatch/Step function/CDK. Develop efficient ETL processes for data extraction, transformation, and loading into data warehouses and lakes. Create and manage applications using Python, Pyspark, SQL, Databricks, and various AWS technologies. Automate repetitive tasks and build reusable frameworks to improve efficiency. Involved in Arch Design and Review, Team Leadership Skills, Management Skills, Involved in Code Review & Sign-Off SQL - Expert (Must have) AWS (Redshift / Lambda / Glue / SQS / SNS / Cloudwatch / Step function/CDK)) - Expert (Must have) Pyspark -Expert Python - Intermediate...

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 design, build and deploy highly secure and performant data engineering solutions You will analyze the requirements and specifications to understand the client requirements in a detailed manner and translate them into production grade data applications that meet the client requirements. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey If you think you fit righ...

We are looking for an experienced *Software Engineer - Informatica* with 4 to 6 years of hands-on expertise* in designing, developing, and optimizing large-scale *ETL solutions* using *Informatica PowerCenter*. The ideal candidate will lead ETL projects, mentor junior developers, and ensure high-performance data integration across enterprise systems. About The Role In this role as Software Engineer, you will: - Analyze business and functional requirements to design and implement scalable data integration solutions - Understand and interpret High-Level Design (HLD) documents and convert them into detailed Low-Level Design (LLD) - Develop robust, reusable, and optimized Informatica mappings, s...

We await your innovation at TCS: Hiring | AWS Data Lake Admin| Greetings from TCS!! We are Hiring for AWS Data Lake Admin Required Experience: 7-12 years Work location: Bangalore, Hyderabad Job Description : We are seeking a highly skilled AWS Data Lake Administrator to manage and optimize our data lake architecture on AWS. The ideal candidate will have strong experience with AWS data services such as S3, Lake Formation, Glue Catalog, Redshift Spectrum, and extensive SQL knowledge. The role involves managing data ingestion, security, and performance of the data lake, ensuring efficient and secure access to data for analytics and reporting. Key Responsibilities : Administer and manage the AWS...

Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities A day in the life of an InfoscionAs 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 optimize...

Education : B.tech or M.Tech Location : India - SEZ - Hyderabad, India Required Skill Set : AWS Cloud, aws data engineer Roles and responsibilities Design AWS architectures based on business requirements. Create architectural diagrams and documentation. Present cloud solutions to stakeholders. Skills and Qualifications: Design, develop, and maintain scalable ETL/ELT pipelines using AWS services like Glue, Lambda, and Step Functions. Work with batch and real-time data processing using AWS Glue, Kinesis, Kafka, or Apache Spark. Optimize data pipelines for performance, scalability, and cost-effectiveness. Identify bottlenecks and optimize query performance on Redshift, Athena, and Glue. Strong ...

AWS Data Engineer 8-11 years AWS Data Engineer, Python Python, S3, RDS, Glue, Lambda, IAM, SNS, SQL , Quicksight