2227 Amazon Redshift Jobs - Page 30

Hiring: Database Expert SQL & NoSQL Location: Pune (Preferred) / Bangalore Experience: 5+ Years Max Salary: 16 LPA Notice Period: Immediate joiners or 30 days preferred Apply: hr3@venpastaffing.com We are seeking a Database Expert with strong experience in SQL & NoSQL to work on large-scale data environments. Key Skills: Advanced SQL & NoSQL database development and optimization Hands-on expertise with Amazon Redshift, MySQL, MongoDB, Flyway Strong knowledge of data warehousing & performance tuning Experience with AWS-managed database services (3+ years) Proficiency in Python or Scala for data processing & automation Familiarity with Power BI or similar BI/reporting tools Responsibilities: D...

We are looking forward to hireSnowflake Professionals in the following areas : JD for Senior Snowflake developer as below Snowflake SnowSQL, PL/SQL Any ETL Tool Job Description: 4-5 years of IT experience in Analysis, Design, Development and unit testing of Data warehousing applications using industry accepted methodologies and procedures. Write complex SQL queries to implement ETL (Extract, Transform, Load) processes and for Business Intelligence reporting. Strong experience with Snowpipe execustion, snowflake Datawarehouse, deep understanding of snowflake architecture and Processing, Creating and managing automated data pipelines for both batch and streaming data using DBT. Designing and i...

We are looking forward to hireAWS Professionals in the following areas : Module Lead in AWS Skillset JD as below: Primary skillsets :AWS services including Glue, Pyspark, SQL, Databricks, Python Secondary skillset- Any ETL Tool, Github, DevOPs(CI-CD) Experience: 6-7yrs Degree in computer science, engineering, or similar fields Mandatory Skill Set: Python, PySpark , SQL, AWS with Designing , developing, testing and supporting data pipelines and applications. Strong understanding and hands-on experience with AWS services like EC2, S3, EMR, Glue, Redshift. Strong in developing and maintaining applications using Python and PySpark for data manipulation, transformation, and analysis. Design and i...

iSource Services is hiring for one of their client for the position of AWS. AWS experience (not Azure or GCP), with 12-15 years of experience, and hands-on expertise in design and implementation. Design and Develop Data Solutions, Design and implement efficient data processing pipelines using AWS services like AWS Glue, AWS Lambda, Amazon S3, and Amazon Redshift. Candidates should possess exceptional communication skills to engage effectively with US clients. The ideal candidate must be hands-on with significant practical experience. Availability to work overlapping US hours is essential. The contract duration is 6 months. For this role, we're looking for candidates with 12 to 15 years of ex...

We are looking forward to hireAWS Professionals in the following areas : AWS Data Engineer JD as below: Primary skillsets :AWS services including Glue, Pyspark, SQL, Databricks, Python Secondary skillset- Any ETL Tool, Github, DevOPs(CI-CD) Experience: 3-4yrs Degree in computer science, engineering, or similar fields Mandatory Skill Set: Python, PySpark , SQL, AWS with Designing , developing, testing and supporting data pipelines and applications. 3+ years working experience in data integration and pipeline development. 3+ years of Experience with AWS Cloud on data integration with a mix of Apache Spark, Glue, Kafka, Kinesis, and Lambda in S3 Redshift, RDS, MongoDB/DynamoDB ecosystems Databr...

We are seeking a highly skilled AWS Data Engineer to design, build, and maintain scalable data pipelines and cloud-native data platforms. The ideal candidate has hands-on experience with Amazon Web Services (AWS) , ETL/ELT , data modeling , and working with big data technologies. Key Responsibilities Design and implement scalable data pipelines using AWS services (e.g., Glue, Lambda, Step Functions, S3, Redshift) Build, maintain, and optimize data lakes and data warehouses Develop and deploy ETL/ELT jobs for data ingestion, transformation, and enrichment Ensure data quality , lineage , and governance are in place Collaborate with data analysts, scientists, and business stakeholders to unders...

Role & responsibilities • Strong hands-on experience in Python programming and PySpark • Experience using AWS services (RedShift, Glue, EMR, S3 & Lambda) • Experience working with Apache Spark and Hadoop ecosystem. • Experience in writing and optimizing SQL for data manipulations • Good Exposure to scheduling tools. Airflow is preferable. • Must Have Data Warehouse Experience with AWS Redshift or Hive • Experience in implementing security measures for data protection. • Expertise to build/test complex data pipelines for ETL processes (batch and near real time) • Readable documentation of all the components being developed. • Knowledge of Database technologies for OLTP and OLAP workloads Good...

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 knowledge of AWS services: EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation, CloudWatch, etc. Experience with serverless ar...

Big Data Engineer AWS S3, DMS, Glue, Lambda, Redshift, Python, SQL, Git, CI/CD, Agile delivery Key Responsibilities Develop and maintain ETL/ELT pipelines using AWS Glue Integrate data from source systems into Bronze and Silver layers • Build metadata-driven ingestion and processing workflows Write clean, efficient, and testable code Required Skills & Tech Stack AWS Glue (PySpark), DMS, S3, Redshift, Glue Catalog Python, SQL Git, CI/CD, Agile delivery Certifications & Other Requirements • AWS Certified Developer / Data Engineer (Associate level) • 46 years of experience Follow engineering best practices Experience working in security-compliant and time-sensitive environments Share your resum...

Key Responsibilities 1-2 years exp into Bigeye Tool exp Data Quality Monitoring: Use Bigeyes data observability platform to monitor and ensure data quality across pipelines. Data Cataloging: Leverage Alation to understand data relationships and lineage. Trust Flags & Tagging: Apply trust indicators and tags to data assets for transparency and traceability. Data Profiling: Assess usability and integrity of datasets. Rule Definition: Create and manage data quality rules and plans to validate data during ETL processes. Modeling Leadership: Lead data modeling efforts, including logical and physical model creation and optimization. Collaboration: Work closely with Business Analysts and Technical ...

Common Skils - SQL, GCP BQ, ETL pipelines using Pythin/Airflow,Experience on Spark/Hive/HDFS,Data modeling for Data conversion Resources Prior experience working on a conv/migration HR project is additional skill needed along with above mentioned skillsCommon Skils - SQL, GCP BQ, ETL pipelines using Pythin/Airflow Experience on Spark/Hive/HDFS,Data modeling for Data conversion Resources Prior experience working on a conv/migration HR project is additional skill needed along with above mentioned skills Data Engineer - Knows HR Knowledge , all other requirement from Functional Area given by UBER

Introduction to the Role: Are you passionate about unlocking the power of data to drive innovation and transform business outcomes? Join our cutting-edge Data Engineering team and be a key player in delivering scalable, secure, and high-performing data solutions across the enterprise. As aData Engineer, you will play a central role in designing and developing modern data pipelines and platforms that support data-driven decision-making and AI-powered products. With a focus onPython,SQL,AWS,PySpark, andDatabricks, you'll enable the transformation of raw data into valuable insights by applying engineering best practices in a cloud-first environment. We are looking for a highly motivated profess...

Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred Keywords python,data warehousing,etl,amazon redshift,bigquery,data engineering,data architecture,aws,machine learning,data flow,etl pipelines,real-time data processing,java,spring boot,microservices,spark,kafka,cassandra,scala,nosql,mongodb,rest,redis,SQL*

Lead Software Engineer Req number: R6225 Employment type: Full time Worksite flexibility: Remote Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary Job Description Summary As a Lead Software Engineer, you will be resp...

Job Title: Data Analytics Lead Experience: 7 to 8 Years Location: Hyderabad Role Type: Individual Contributor About the Role: We are seeking a skilled and experienced Data Analytics Specialist to join our team in Hyderabad. This is an individual contributor role focused on driving data quality, governance, and advanced analytics across a cloud-native environment. The ideal candidate should have strong technical expertise across modern data stacks, excellent problem-solving skills, and a proactive approach to managing enterprisegrade data platforms. Key Responsibilities: Design, develop, maintain data pipelines, data transformation ETL using AWS Glue, AWS EMR, AWS Kinesis, AWS Redshift, Amazo...

We are looking for an experienced Data Engineer with 4+ years of expertise in building scalable data pipelines on AWS . The ideal candidate should have strong knowledge of ETL processes , data modeling , and modern data platforms like Snowflake and Redshift . Key Skills Required: Strong hands-on experience with AWS services : EC2, S3, IAM, Glue, DMS Experience with RDBMS and MPP databases like Snowflake/Redshift Knowledge of ETL workflows and data modeling Proficiency in SQL (Python/PySpark is a plus) Good understanding of cloud-based data architecture Nice to Have: AWS certification Experience with data lake or CI/CD setup We are looking for immediate joiners only

About the role: Your responsibility as a MYSQL database administrator (DBA) will be the performance, integrity and security of a database. You''ll be involved in the planning and development of the database, as well as in troubleshooting any issues on behalf of the users. Requirement : - 3 to 6 Years Experience - MySQL, AWS RDS, AWS AURORA working knowledge is Must - Replication - AWS Admin - User Management - Machine Creation (Manual or by Terraform) - AMI creation - Backup and restoration

7+ years of experience in data engineering or equivalent technical role. 5+ years of hands-on experience with AWS Cloud Development and DevOps. Strong expertise in SQL , data modeling , and ETL/ELT pipelines . Deep experience with Oracle (PL/SQL, performance tuning, data extraction). Proficiency in Python and/or Scala for data processing tasks. Strong knowledge of cloud infrastructure (networking, security, cost optimization). Experience with infrastructure as code (Terraform). Familiarity with CI/CD pipelines and DevOps tooling (e.g., Jenkins, GitHub Actions). Roles and Responsibilities Data Engineering & Architecture Design, build, and maintain scalable data pipelines and data products. De...

Project description Support one of Australia''s leading banks in modernizing their customer entitlements platform and Identity and Access Management. The current landscape includes multiple data sources, databases, and hundreds of Oracle Stored Procedures fronted by web services. The goal is to re-architect these into a single, unified platform. This is an engineering role (not a BA), requiring hands-on data modeling, manifest-driven mapping, and delivery of working solutions. Candidates are expected to be in the office 50% of the time (Sydney-based hybrid model). Responsibilities Map the current target state using a manifest-driven approach; propose and implement schema changes. Design and ...

Project description Support one of the top Australian banks as they seek to modernise their data and analytics platform. You will be working directly with IT and business stakeholders in Data and Platform team to implement banks data strategy to become the best AI bank of the world. Responsibilities Create technology blueprints and engineering roadmaps for multi-year data transformational programs. knowledgeable of architectural patterns, cloud-native solutions on AWS, microservices architecture, solutions integration, and containerisation. Extensive knowledge of AWS services, particularly those related to data storage and processing, including S3, RDS, Redshift, DataZone, and Glue. Expert i...

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

We are looking for AWS Data Engineer Permanent Role. Experience : 5 to10 Years Location : Hyderabad / Chennai/Noida/Pune NP-Immediate - Skills: Expertise in Data warehousing and ETL Design and implementation Hands on experience with Programming language like Python Good understanding of Spark architecture along with internals Hand on experience using AWS services like Glue (Pyspark), Lambda, S3, Athena, Experience on Snowflake is good to have Hands on experience on implementing different loading strategies like SCD1 and SCD2, Table/ partition refresh, insert update, Swap Partitions, Experience in Parallel Loading and Dependencies orchestrations Awareness of scheduling and orchestration tools...

Job DescriptionDesign and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred.Keywordssql,python,data warehousing,etl,amazon redshift,Data Engineering*

Job Description Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred KeywordsPython,AWS Redshift,Google BigQuery,ETL pipelines,data warehousing,data architectures,SQL*

Description:Hands-on experience with AWS services including S3, Lambda,Glue, API Gateway, and SQS.Strong skills in data engineering on AWS, with proficiency in Python ,pyspark & SQL.Experience with batch job scheduling and managing data dependencies.Knowledge of data processing tools like Spark and Airflow.Automate repetitive tasks and build reusable frameworks to improve efficiency.Provide Run/DevOps support and manage the ongoing operation of data services. Location - Bangalore, Mumbai, Pune, Chennai, Kolkata, Hyderabad