315 Redshift Aws Jobs - Page 11

Job Duties and Responsibilities: We are looking for a self-starter to join our Data Engineering team. You will work in a fast-paced environment where you will get an opportunity to build and contribute to the full lifecycle development and maintenance of the data engineering platform. With the Data Engineering team you will get an opportunity to - Design and implement data engineering solutions that is scalable, reliable and secure on the Cloud environment Understand and translate business needs into data engineering solutions Build large scale data pipelines that can handle big data sets using distributed data processing techniques that supports the efforts of the data science and data appl...

What can you expect in a Director of Data Engineering role with TaskUs: Key Responsibilities: Manage a geographically diverse team of Managers/Senior Manager of Data Engineering responsible for the ETL to process, transform, and derive attributes for all operational data for reporting and analytics use from various transactional systems. Sets and enforces BI standards and architecture. Aligns BI architecture with enterprise architecture. Partner with business leaders, technology leaders, and other stakeholders to champion the strategy, design, development, launch, and management of cloud data engineering related projects and initiatives that can scale and rapidly meet strategic and business ...

As Lead Data Engineer , you'll design and manage scalable ETL pipelines and clean, structured data flows for real-time retail analytics. You'll work closely with ML engineers and business teams to deliver high-quality, ML-ready datasets. Responsibilities: Develop and optimize large-scale ETL pipelines Design schema-aware data flows and dashboard-ready datasets Manage data pipelines on AWS (S3, Glue, Redshift) Work with transactional and retail data for real-time insights

Job Title: DevOps Engineer with Expertise in AWS, Database Management, and Cloud Networking Job Description: We are seeking a highly skilled DevOps Engineer with a minimum of 7 years of experience in Amazon Web Services (AWS) , strong expertise in database management , and a solid understanding of cloud networking . The ideal candidate will play a pivotal role in optimizing, scaling, and maintaining our cloud infrastructure and deployment pipelines. You will work collaboratively with cross-functional teams to ensure seamless integration of cloud solutions and infrastructure with development, operations, and security protocols. Key Responsibilities: 1. AWS Infrastructure Management: Design, d...

4+ YOE as a Data Engineer/Scientist, hands-on experience working on Data Warehousing, Data ingestion, Data processing, Data Lakes Must have strong development experience using Python. and SQL, understanding of data orchestration tools like Airflow Required Candidate profile Experience with data extraction techniques - CDC, batch-based, Debezium, Kafka Connect, AWS DMS, queuing/messaging systems - SQS, RabbitMQ, Kinesis, AWS, Data/ML - AWS Glue, MWAA, Athena, Redshift

Dear Candidates, We are conducting a Walk-In Interview in Hyderabad for the position of Data Engineering on 20th/21st/22nd June 2025 . Position: Data Engineering Job description: Expert knowledge in AWS Data Lake implementation and support (S3, Glue,DMS Athena, Lambda, API Gateway, Redshift) Handling of data related activities such as data parsing, cleansing quality definition data pipelines, storage and ETL scripts Experiences in programming language Python/Pyspark/SQL Experience with data migration with hands-on experience Experiences in consuming rest API using various authentication options with in AWS Lambda architecture orchestrate triggers, debug and schedule batch job using a AWS Glu...

Mandatory skills for Data engineer: Python/Pyspark, Aws Glue, lambda , redshift. Python/Pyspark, Aws Glue, lambda , redshift, SQL. Expert knowledge in AWS Data Lake implementation and support (S3, Glue,DMS Athena, Lambda, API Gateway, Redshift)

Role & responsibilities Total Experience: 7 yrs Relevant experience: 6 yrs Mandatory skills: Hadoop Apache Spark, Hive AWS cloud services including S3, Redshift, EMR etc SQL Nice to have: Good experience in Linux and shell scripting. Experience in Data Pipeline using Apache Airflow / Control-M. Practical experience in Core Java /Python/Scala. Experience with SDLC tools (e.g. Bamboo, JIRA, GIT, Confluence, Bitbucket) Having experience in Data Modelling, Data Quality, Load Assurance. Ability to communicate problems and solutions effectively with both business and technical stakeholders (written and verbal) Added advantages : Scheduling tools - control-m, airflow Monitoring tools : Sumologic, S...

Exp in Python programming for data tasks. Exp in AWS data technologies, including AWS Data Lakehouse, S3, Redshift, Athena etc and exposure to equivalent Azure technologies Exp in working with applications built on microservices architecture Required Candidate profile Extensive experience with ETL and Data Engineering tools and processes, particularly within the AWS ecosystem including AWS Glue, Athena, AWS Data Pipeline, AWS Lambda etc.

Experience with data visualization using Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, , QuickSight, , PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language e.g., Python , 3+ years of analyzing and interpreting data with Redshift, NoSQL etc. experience

Key Responsibilities: Develop, design, and maintain dashboards and reports using Tableau and Power BI to support business decision-making. Write and optimize complex SQL queries to extract, manipulate, and analyze data from multiple sources. Collaborate with cross-functional teams to understand business needs and translate them into effective data solutions. Work with AWS Redshift and Databricks for data extraction, transformation, and loading (ETL) processes. Proactively identify and resolve data issues, acting as a solution finder to overcome challenges and drive improvements. Work independently, taking ownership of tasks and ensuring high-quality deliverables within deadlines. Be a strong...

*Seeking a Data Architect to design scalable data models, build pipelines, ensure governance & security, and optimize performance across cloud/data platforms. Collaborate with teams, drive innovation, lead data strategy & mentor others.

Business Data Analyst - HealthCare Position Description Job Summary We are seeking an experienced and results-driven Business Data Analyst with 5+ years of hands-on experience in data analytics, visualization, and business insight generation. This role is ideal for someone who thrives at the intersection of business and datatranslating complex data sets into compelling insights, dashboards, and strategies that support decision-making across the organization. You will collaborate closely with stakeholders across departments to identify business needs, design and build analytical solutions, and tell compelling data stories using advanced visualization tools. Key Responsibilities Data Analytics...

Were Hiring! | Senior Data Engineer (Remote) Location: Remote | Shift: US - CST Time | Department: Data Engineering Are you a data powerhouse who thrives on solving complex data challenges? Do you love working with Python, AWS, and cutting-edge data tools? If yes, Atidiv wants YOU! Were looking for a Senior Data Engineer to build and scale data pipelines, transform how we manage data lakes and warehouses, and power real-time data experiences across our products. What Youll Do: Architect and develop robust, scalable data pipelines using Python & PySpark Drive real-time & batch data ingestion from diverse data sources Build and manage data lakes and data warehouses using AWS (S3, Glue, Redshif...

**URGENT hiring** Note: This is work from office opportunity. Apply only of your okay with it Must have Skills: MySQL, PostgreSQL, NoSQL, and Redshift Location: Bangalore/Hyderabad Years of experience: 5+ Years Notice period: immediate to 15 days Role Overview: The Database Engineer (DBE) is responsible for the design, implementation, maintenance, and optimization of databases to ensure high availability, security, and performance. The role involves working with relational and NoSQL databases, managing backups, monitoring performance, and ensuring data integrity. Key Responsibilities: Database Administration & Maintenance • Install, configure, and maintain database management systems (DBMS) ...

Job Description: We are looking for a talented and motivated Data Analyst / BI Developer with 3-6 years of experience to join our team. The ideal candidate will have a strong background in SQL, experience with dashboard creation using Tableau, and hands-on knowledge of AWS Redshift and Databricks. A problem-solver with excellent solution-finding abilities and a proactive, independent work ethic is essential. As a key contributor to the team, you will work with various stakeholders to deliver actionable insights, and drive data-driven decision-making within the organization. A strong understanding of US healthcare is a plus. Key Responsibilities: Develop, design, and maintain dashboards and r...

AWS Data Engineer with Glue, Terraform, Business Intelligence (Tableau) development * Design, develop & maintain AWS data pipelines using Glue, Lambda & Redshift * Collaborate with BI team on ETL processes & dashboard creation with Tableau

Must-Have Qualifications: AWS Expertise: Strong hands-on experience with AWS data services including Glue, Redshift, Athena, S3, Lake Formation, Kinesis, Lambda, Step Functions, EMR , and CloudWatch . ETL/ELT Engineering: Deep proficiency in designing robust ETL/ELT pipelines with AWS Glue (PySpark/Scala), Python, dbt , or other automation frameworks. Data Modeling: Advanced knowledge of dimensional (Star/Snowflake) and normalised data modeling, optimised for Redshift and S3-based lakehouses . Programming Skills: Proficient in Python, SQL, and PySpark , with automation and scripting skills for data workflows. Architecture Leadership: Demonstrated experience leading large-scale AWS data engin...

Roles and Responsibilities Architect and incorporate an effective Data framework enabling end to end Data Solution. Understand business needs, use cases and drivers for insights and translate them into detailed technical specifications. Create epics, features and user stories with clear acceptance criteria for execution and delivery by the data engineering team. Create scalable and robust data solution designs that incorporate governance, security and compliance aspects. Develop and maintain logical and physical data models and work closely with data engineers, data analysts and data testers for successful implementation of them. Analyze, assess and design data integration strategies across ...

Location: Hyderabad (Hybrid) Key Responsibilities: 1. Data Engineering (AWS Glue & AWS Services): Design, develop, and optimize ETL pipelines using AWS Glue (PySpark). Manage and transform structured and unstructured data from multiple sources into AWS S3, Redshift, or Snowflake. Work with AWS Lambda, S3, Athena, Redshift for data orchestration. Implement data lake and data warehouse solutions in AWS. 2. Infrastructure as Code (Terraform & AWS Services): Design and deploy AWS infrastructure using Terraform. Automate resource provisioning and manage Infrastructure as Code. Monitor and optimize cloud costs, security, and compliance. Maintain and improve CI/CD pipelines for deploying data appli...

We are seeking an experienced AWS Architect with a strong background in designing and implementing cloud-native data platforms. The ideal candidate should possess deep expertise in AWS services such as S3, Redshift, Aurora, Glue, and Lambda, along with hands-on experience in data engineering and orchestration tools. Strong communication and stakeholder management skills are essential for this role. Key Responsibilities Design and implement end-to-end data platforms leveraging AWS services. Lead architecture discussions and ensure scalability, reliability, and cost-effectiveness. Develop and optimize solutions using Redshift, including stored procedures, federated queries, and Redshift Data A...

Cloud and AWS Expertise: In-depth knowledge of AWS services related to data engineering: EC2, S3, RDS, DynamoDB, Redshift, Glue, Lambda, Step Functions, Kinesis, Iceberg, EMR, and Athena. Strong understanding of cloud architecture and best practices for high availability and fault tolerance. Data Engineering Concepts: Expertise in ETL/ELT processes, data modeling, and data warehousing. Knowledge of data lakes, data warehouses, and big data processing frameworks like Apache Hadoop and Spark. Proficiency in handling structured and unstructured data. Programming and Scripting: Proficiency in Python, Pyspark and SQL for data manipulation and pipeline development. Expertise in working with data w...

To Apply - Submit Details via Google Form - https://forms.gle/8SUxUV2cikzjvKzD9 As a Senior Consultant in our Consulting team, youll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations Seeking experienced AWS Data Engineers to design, implement, and maintain robust data pipelines and analytics solutions using AWS services. The ideal candidate will have a strong background in AWS data services, big data technologies, and programming languages. Role & responsibilities 1. Design and implement scalable, high-performance data pipelines using AWS services 2. Develop and optimize ETL processes using AWS Glue, EMR, and Lambda 3. Bu...

To Apply - Submit Details via Google Form - https://forms.gle/8SUxUV2cikzjvKzD9 As a Senior Consultant in our Consulting team, youll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations Seeking experienced AWS Data Engineers to design, implement, and maintain robust data pipelines and analytics solutions using AWS services. The ideal candidate will have a strong background in AWS data services, big data technologies, and programming languages. Role & responsibilities 1. Design and implement scalable, high-performance data pipelines using AWS services 2. Develop and optimize ETL processes using AWS Glue, EMR, and Lambda 3. Bu...

- Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform. Design/ implement, and maintain the data architecture for all AWS data services - A strong understanding of data modelling, data structures, databases (Redshift), and ETL processes - Work with stakeholders to identify business needs and requirements for data-related projects - Strong SQL and/or Python or PySpark knowledge - Creating data models that can be used to extract information from various sources & store it in a usable format - Optimize data models for performance and efficiency - Write SQL queries to support data analysis and reporting - Monitor and troubleshoot data pipelines - Collabora...