316 Redshift Aws Jobs - Page 12

- 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...

Job Title: Senior Data Engineer Experience: 9+ Years Location: Whitefield, Bangalore Notice Period: Serving or Immediate joiners. Role & Responsibilities: Design and implement scalable data pipelines for ingesting, transforming, and loading data from diverse sources and tools. Develop robust data models to support analytical and reporting requirements. Automate data engineering processes using appropriate scripting languages and frameworks. Collaborate with engineers, process managers, and data scientists to gather requirements and deliver effective data solutions. Serve as a liaison between engineering and business teams on all data-related initiatives. Automate monitoring and alerting for ...

We are Hiring for IT Professionals , for more details please refer below job descriptions; Job Type: Contractual Location : PAN India Candidates from any city in India are welcome to apply. Client : MNC Position 1 : Oracle DBA with AWS & Redshift Experience Experience Required: 6+ Years Employment Type: Contract Work Mode: Hybrid Location: PAN India Job Summary: We are seeking a highly skilled and experienced Oracle Database Administrator (DBA) with strong expertise in AWS cloud services and Amazon Redshift . The ideal candidate will be responsible for managing, monitoring, and optimizing database environments to ensure high availability, performance, and security in a hybrid cloud setup. Ke...

• Minimum 5 years + working exp as Databricks Developer • Minimum 3 years + working exp on Redshift, Python, PySpark, and AWS • Associate should hold Databrick Certification and willing to join within 30 Days

JOB DESCRIPTION Role Expectations: Design, develop, and maintain robust, scalable, and efficient data pipelines Monitor data workflows and systems to ensure reliability and performance Identify and troubleshoot issues related to data flow and database performance Collaborate with cross-functional teams to understand business requirements and translate them into data solutions Continuously optimize existing data processes and architectures. Qualifications: Programming Languages: Proficient in Python and SQL Databases: Strong experience with Amazon Redshift, Aurora, and MySQL Data Engineering: Solid understanding of data warehousing concepts, ETL/ELT processes, and building scalable data pipel...

JOB DESCRIPTION Role Expectations: Design, develop, and maintain robust, scalable, and efficient data pipelines Monitor data workflows and systems to ensure reliability and performance Identify and troubleshoot issues related to data flow and database performance Collaborate with cross-functional teams to understand business requirements and translate them into data solutions Continuously optimize existing data processes and architectures. Qualifications: Programming Languages: Proficient in Python and SQL Databases: Strong experience with Amazon Redshift, Aurora, and MySQL Data Engineering: Solid understanding of data warehousing concepts, ETL/ELT processes, and building scalable data pipel...

Interested can also apply with sanjeevan.natarajan@careernet.in Role & responsibilities Technical Leadership Lead a team of data engineers and developers; define technical strategy, best practices, and architecture for data platforms. End-to-End Solution Ownership Architect, develop, and manage scalable, secure, and high-performing data solutions on AWS and Databricks. Data Pipeline Strategy Oversee the design and development of robust data pipelines for ingestion, transformation, and storage of large-scale datasets. Data Governance & Quality Enforce data validation, lineage, and quality checks across the data lifecycle. Define standards for metadata, cataloging, and governance. Orchestratio...

Job Title: Data Architect / Engagement Lead Location: Chennai Reports To: CEO About the Company: Ignitho Inc. is a leading AI and data engineering company with a global presence, including US, UK, India, and Costa Rica offices. Visit our website to learn more about our work and culture: www.ignitho.com. Ignitho is a portfolio company of Nuivio Ventures Inc ., a venture builder dedicated to developing Enterprise AI product companies across various domains, including AI, Data Engineering, and IoT. Learn more about Nuivio at: www.nuivio.com. Job Summary: As the Data Architect and Engagement Lead, you will define the data architecture strategy and lead client engagements , ensuring alignment bet...

3 +yrs of exp as Data Engineer Exp in AWS Cloud Services, EC2, S3, IAM Exp on AWS Glue, DMS, RDBMS, MPP Databases like Snowflake, Redshift Knowledge on Data Modelling, ETL Process This role will be 5 days WFO. Plz apply only if you are open to work from office Only immediate joiners required

Role: Data Engineer (ETL Processes, SSIS, AWS) Duration: Fulltime Location: Remote Working hours: 4:30am to 10:30am IST shift timings. Note: We need a ETL engineer for MS SQL Server Integration Service working in 4:30am to 10:30am IST shift timings. Roles & Responsibilities: Design, develop, and maintain ETL processes using SQL Server Integration Services (SSIS). Create and optimize complex SQL queries, stored procedures, and data transformation logic on Oracle and SQL Server databases. Build scalable and reliable data pipelines using AWS services (e.g., S3, Glue, Lambda, RDS, Redshift). Develop and maintain Linux shell scripts to automate data workflows and perform system-level tasks. Sched...

AI/ML, AWS-based solutions. Amazon SageMaker, Python and ML libraries, data engineering on AWS, AI/ML algorithms &model deployment strategies.CI/CD, Cloud Formation, Terraform). AWS Certified Machine Learning. generative AI, real-time inference &edge

Greetings from tsworks Technologies India Pvt . We are hiring for Sr. Data Engineer - Snowflake with AWS If you are interested, please share your CV to mohan.kumar@tsworks.io Position: Senior Data Engineer Experience: 9+ Years Location: Bengaluru, India (Hybrid) Mandatory Required Qualification Strong proficiency in AWS data services such as S3 buckets, Glue and Glue Catalog, EMR, Athena, Redshift, DynamoDB, Quick Sight, etc. Strong hands-on experience building Data Lake-House solutions on Snowflake, and using features such as streams, tasks, dynamic tables, data masking, data exchange etc. Hands-on experience using scheduling tools such as Apache Airflow, DBT, AWS Step Functions and data go...

Position: Experienced Data Engineer We are seeking a skilled and experienced Data Engineer to join our fast-paced and innovative Data Science team. This role involves building and maintaining data pipelines across multiple cloud-based data platforms. Requirements: A minimum of 5 years of total experience, with at least 3-4 years specifically in Data Engineering on a cloud platform. Key Skills & Experience: Proficiency with AWS services such as Glue, Redshift, S3, Lambda, RDS , Amazon Aurora ,DynamoDB ,EMR, Athena, Data Pipeline , Batch Job. Strong expertise in: SQL and Python DBT and Snowflake OpenSearch, Apache NiFi, and Apache Kafka In-depth knowledge of ETL data patterns and Spark-based E...

Job Title: Senior Data Engineer Location: Remote Job Type: Fulltime Experience Level: 7+ years About the Role: We are seeking a highly skilled Senior Data Engineer to join our team in building a modern data platform on AWS. You will play a key role in transitioning from legacy systems to a scalable, cloud-native architecture using technologies like Apache Iceberg, AWS Glue, Redshift, and Atlan for governance. This role requires hands-on experience across both legacy (e.g., Siebel, Talend, Informatica) and modern data stacks. Responsibilities: Design, develop, and optimize data pipelines and ETL/ELT workflows on AWS. Migrate legacy data solutions (Siebel, Talend, Informatica) to modern AWS-na...

Role & responsibilities Key Responsibilities: Design, develop, and maintain data pipelines and ETL workflows on AWS platform Work with AWS services like S3, Glue, Lambda, Redshift, EMR, and Athena for data ingestion, transformation, and analytics Collaborate with Data Scientists, Analysts, and Business teams to understand data requirements Optimize data workflows for performance, scalability, and reliability Troubleshoot data issues, monitor jobs, and ensure data quality and integrity Write efficient SQL queries and automate data processing tasks Implement data security and compliance best practices Maintain technical documentation and data pipeline monitoring dashboards Required Skills: 3 t...

Role & responsibilities Job Role- AWS Data Engineer(L3) Experience-7+ years Location-Nagpur 5+ years of microservices development experience in two of these: Python, Java, Scala 5+ years of experience building data pipelines, CICD pipelines, and fit for purpose data stores 5+ years of experience with Big Data Technologies: Apache Spark, Hadoop, or Kafka 3+ years of experience with Relational & Non-relational Databases: Postgres, MySQL, NoSQL (DynamoDB or MongoDB) 3+ years of experience working with data consumption patterns 3+ years of experience working with automated build and continuous integration systems 3+ years of experience working with data consumption patterns 2+ years of experienc...

Role & responsibilities Requirements: Data Modeling (Conceptual, Logical, Physical)- Minimum 5 years Database Technologies (SQL Server, Oracle, PostgreSQL, NoSQL)- Minimum 5 years Cloud Platforms (AWS, Azure, GCP) - Minimum 3 Years ETL Tools (Informatica, Talend, Apache Nifi) - Minimum 3 Years Big Data Technologies (Hadoop, Spark, Kafka) - Minimum 5 Years Data Governance & Compliance (GDPR, HIPAA) - Minimum 3 years Master Data Management (MDM) - Minimum 3 years Data Warehousing (Snowflake, Redshift, BigQuery)- Minimum 3 years API Integration & Data Pipelines - Good to have. Performance Tuning & Optimization - Minimum 3 years business Intelligence (Power BI, Tableau)- Minimum 3 years Job Desc...

DBA Role: Expertise in writing and optimizing queries for performance, including but not limited to Redshift/Postgres/SQL/Big Query and using query plans. Expertise in database permissions, including but not limited to Redshift/BigQuery /Postgres/ SQL / Windows AD Knowledge of database design/ ability to work with data architects and other IT specialists to set up, maintain and monitor data networks/ storage / metrics. Expertise in backup and recovery, including AWS Redshift snapshot restores. Redshift (provisioned and serverless) configuration and creation. Redshift Workload Management, Redshift table statistics. Experience working with third party vendors, being able to coordinate with thi...

AWS Data Engineer To Apply, use the below link: https://career.infosys.com/jobdesc?jobReferenceCode=INFSYS-EXTERNAL-210775&rc=0 JOB Profile: Significant 5 to 9 years of experience in designing and implementing scalable data engineering solutions on AWS. Strong proficiency in Python programming language. Expertise in serverless architecture and AWS services such as Lambda, Glue, Redshift, Kinesis, SNS, SQS, and CloudFormation. Experience with Infrastructure as Code (IaC) using AWS CDK for defining and provisioning AWS resources. Proven leadership skills with the ability to mentor and guide junior team members. Excellent understanding of data modeling concepts and experience with tools like ER...

To complement the existing cross-functional team, Zensar is looking for a Data Engineer who will assist in designing and also implement scalable and robust processes to support the data engineering capability. This role will be responsible for implementing and supporting large-scale data ecosystems across the Group. This incumbent will use best practices in cloud engineering, data management and data storage to continue our drive to optimize the way that data is stored, consumed and ultimately democratized. The incumbent will also engage with stakeholders across the organization with use of the Data Engineering practices to facilitate the improvement in the way that data is stored and consum...

Job Description: 1. Candidate should have good experience in all the functionalities of Dataiku 2. Should have previous exposure handling large data sets using Dataiku and preparing and calculating data. 3. Should be able to write queries to extract and connect from RDBSM/Data lake and any other manual datasets 4. Most importantly, should be able to understand existing developments and take over with minimal handover. 5. Must be expert in Excel as well given all of the information produced in mostly furnished in excel at the right level of detail to the stakeholders for validation and discussions 6. Must have a eye for accuracy ensuring the flows are robust. 7. Banking process knowledge is a...

AWS Data Engineer with hands-on experience in Amazon Redshift and EMR, responsible for building scalable data pipelines and managing big data processing workloads. The role requires strong skills in Spark, Hive, S3 on AWS cloud infrastructure.

Name of Organization: Jarus Technologies (India) Pvt. Ltd. Organization Website: www.jarustech.com Position: Senior Software Engineer - Data warehouse Domain Knowledge: Insurance (Mandatory) Job Type: Permanent Location: Hyderabad - IDA Cherlapally, ECIL and Divyasree Trinity, Hi-Tech City. Experience: 3+ years Education: B. E. / B. Tech. / M. C. A. Resource Availability: Immediately or a maximum period of 30 days. Technical Skills: • Strong knowledge of data warehousing concepts and technologies. • Proficiency in SQL and other database languages. • Experience with ETL tools (e.g., Informatica, Talend, SSIS). • Familiarity with data modelling techniques. • Experience in building dimensional ...

Title: Looker Developer Team: Data Engineering Work Mode: Remote Shift Time: 3:00 PM - 12:00AM IST Contract: 12 months Key Responsibilities Collaborate closely with engineers, architects, business analysts, product owners, and other team members to understand the requirements and develop test strategies. LookML Proficiency: LookML is Looker's proprietary language for defining data models. Looker developers need to be able to write, debug, and maintain LookML code to create and manage data models, explores, and dashboards. Data Modeling Expertise:Understanding how to structure and organize data within Looker is essential. This involves mapping database schemas to LookML, creating views, and d...

Key Responsibilities: Develop & Optimize Data Pipelines Architect, build, and enhance scalable data pipelines for high-performance processing. Troubleshoot & Sustain Identify, diagnose, and resolve data pipeline issues to ensure operational efficiency. Data Architecture & Storage Design efficient data storage and retrieval strategies using Postgres, Redshift, and other databases. CI/CD Pipeline Management Implement and maintain continuous integration and deployment strategies for smooth workflow automation. Scalability & Performance Tuning Ensure the robustness of data solutions while optimizing performance at scale. Collaboration & Leadership Work closely with cross-functional teams to ensu...