2750 Amazon Redshift Jobs - Page 22

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

Description: 1.Hands on industry experience in design and coding from scratch in AWS Glue-Pyspark with services like S3 DynamoDB StepFunctions etc. 2.Hands on industry experience in design and coding from scratch in Snowflake 3.Experience in Pyspark/Snowflake 1 to 3 years with overall around 5 years of experience in building data/analytics solutions Level Senior Consultant or below 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 :Yes Global Role Family :60236 (P) Software Engineering Local Role Name :6361 Software Engineer Local Skills :593...

Role:Sr Python Developer Must have:Python Spark/Postgres SQL ,Spark / Apache Spark (AWS) Strong development experience using Python and SQL on AWS using Glue, Lambda.

Description: Primary Skill - AWS (Amazon web service) Good knowledge of AWS process like Amazon RDS AWS DMS Amazon S3 Amazon EC3 AWS APIs Containers Kubernetes etc. Having experience on migration projects from on Prem to cloud for both database and Web Apps. Having good knowledge of CI/CD pipelines for code deployment. MS SQL Server Knowledge on SQL Server is required such as taking DB backup replicate database tables and objects replication database from on prem to cloud database. Having knowledge of IIS 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...

Description Skills Required Strong experience working in Cloud-based Engineering teams preferably using AWS. Solid understanding of dimensional modelling. Thorough understanding of Python and SQL for data exploration and transformation ideally within Spark environments (Pyspark SparkSQL) such as within Glue jobs. Strong written and oral communication skills and presentation skills with the ability to translate business needs to system and software/data requirements. Strong analysis and analytical skills with attention to detail within complex systems and datasets particularly on relationships between them. Solid understanding of version control systems specifically Git. Named Job Posting? (i...

Description Responsibilities Must have 1. Strong expertise in SQL Python PySpark. 2. Good knowledge on Data warehousing techniques. 3. Good knowledge on AWS Big Data services and snowflake. Design develop and maintain scalable data pipelines and architectures for data processing and integration. Implement data streaming solutions to handle real-time data ingestion and processing. Utilize Python and PySpark to develop and optimize data workflows. Leverage AWS services such as S3 Redshift Glue Kinesis and Lambda for data storage processing and analytics. Collaborate with data scientists analysts and other stakeholders to understand data requirements and deliver solutions. Ensure data quality i...

Description 1.Hands on industry experience in design and coding from scratch in AWS Glue-Pyspark with services like S3 DynamoDB StepFunctions etc. 2.Hands on industry experience in design and coding from scratch in Snowflake 3.Experience in Pyspark/Snowflake 1 to 3 years with overall around 5 years of experience in building data/analytics solutions Level Senior Consultant or below 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 Yes Global Role Family 60236 (P) Software Engineering Local Role Name 6361 Software Engineer Local Skills 59383 AWS G...

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 Ar...

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 Ar...

Demonstrated considerable experience (minimum 5-7 Years) implementing Data platform/Big data projects on Hyperscalars platform. (Primarily on AWS/Databricks & Google cloud) Extensive working experience on implementing data warehouse, data lake, data mart projects (5-8 years) Strong solution/architect skills in building Data engineering pipelines. (> 5 Years) Hands on experience working in AWS (glue, redshift, s3, athena)/Databricks/Spark (pyspark preferred) /Snowflake/Google cloud (GCS, Big query, dataproc, dataflow, composor). Experience working on Real team data engineering projects Having Data engineering Certifications will be added advantage Good to have Knowledge of AI/ML skills, ML En...

Role Description: We are seeking a highly skilled and detail-oriented Data Engineering Test Automation Engineer to ensure the quality, reliability, and performance of our data pipelines and platforms. The ideal candidate has strong experience in data testing, ETL validation, and automation frameworks, and will work closely with data engineers, analysts, and DevOps to build robust test suites. This role involves designing and executing both manual and automated tests for real-time and batch data pipelines across AWS and Databricks platforms, while applying QA best practices in test planning, defect tracking, and lifecycle management to ensure high-quality data delivery. In addition, the resou...

Join us as a Data Engineering Lead This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences Youll be simplifying the bank through developing innovative data driven solutions, inspiring to be commercially successful through insight, and keeping our customers and the banks data safe and secure Participating actively in the data engineering community, youll deliver opportunities to support our strategic direction while building your network across the bank Were recruiting for multiple roles across a range to levels, up to and including experienced managers What you'll do Well look to you to demonstrat...

The Senior Professional, Data Engineering job designs, builds and maintains complex data systems that enable data analysis and reporting. With minimal supervision, this job ensures that large. Required Candidate profile DATA FORMATS: Examines and resolves appropriate data formats to improve data usability and accessibility across the organization.

Demonstrated considerable experience (minimum 5-7 Years) implementing Data platform/Big data projects on Hyperscalars platform. (Primarily on AWS/Databricks & Google cloud) Extensive working experience on implementing data warehouse, data lake, data mart projects (5-8 years) Strong solution/architect skills in building Data engineering pipelines. (> 5 Years) Hands on experience working in AWS (glue, redshift, s3, athena)/Databricks/Spark (pyspark preferred) /Snowflake/Google cloud (GCS, Bigquery, dataproc, dataflow, composor) Experience working on Real team data engineering projects Having Data engineering Certifications will be added advantage Good to have Knowledge of AI/ML skills, ML Engi...

Experienced Data Engineer with 5+ years of hands-on development using Python (preferred), along with strong proficiency in Scala, Java, or C#. Skilled in designing and building high-performance, scalable data pipelines and architectures. Specialized in working with PySpark on Databricks, and experienced across a range of data engineering tools including Snowflake, BigQuery, Apache Spark, Hive, Hadoop, Cloudera, and Redshift. Key Competencies: Programming & Development: 5+ years of experience developing data-centric applications using Python (preferred), with additional expertise in Scala, Java, or C#. Big Data & Cloud Platforms: Deep experience with cloud-based and on-premise data platforms ...

Position Summary The Solutions Architect for the Data & Analytics (D&A) portfolio will lead the design, development, and governance of scalable, high-performance data solutions that empower business insights and decision-making. This role will serve as the bridge between business stakeholders, data engineers, platform teams, and enterprise architects to ensure that data-driven systems align with Prologis' technology strategy and D&A roadmap. The architect will also play a strategic role in leveraging emerging technologies such as Generative AI (GenAI) to accelerate modernization and data value realization across the enterprise. Key Responsibilities 1. Solution Architecture & Design Develop e...

Role Proficiency: This role requires proficiency in developing data pipelines including coding and testing for ingesting wrangling transforming and joining data from various sources. The ideal candidate should be adept in ETL tools like Informatica Glue Databricks and DataProc with strong coding skills in Python PySpark and SQL. This position demands independence and proficiency across various data domains. Expertise in data warehousing solutions such as Snowflake BigQuery Lakehouse and Delta Lake is essential including the ability to calculate processing costs and address performance issues. A solid understanding of DevOps and infrastructure needs is also required. Outcomes: Act creatively ...

Role Proficiency: This role requires proficiency in data pipeline development including coding and testing data pipelines for ingesting wrangling transforming and joining data from various sources. Must be adept at using ETL tools such as Informatica Glue Databricks and DataProc with coding skills in Python PySpark and SQL. Works independently and demonstrates proficiency in at least one domain related to data with a solid understanding of SCD concepts and data warehousing principles. Outcomes: Collaborate closely with data analysts data scientists and other stakeholders to ensure data accessibility quality and security across various data sources.rnDesign develop and maintain data pipelines...

What can you expect in a VP, Data Engineering & Architecture role with TaskUs: We are seeking a hands-on Vice President of Data Engineering and Architecture to lead the strategy, design, and implementation of our enterprise data ecosystem. This person will define how data is structured, stored, and leveraged to drive analytics, automation, and AI initiatives across the organization. The ideal candidate will have deep expertise in architecting large-scale data warehouses and data lakes , with a strong command of OLAP and OLTP concepts. Key Responsibilities Data Architecture Leadership:Design and implement scalable, high-performance data architectures including data warehouses (AWS Redshift, S...

Build, maintain, and troubleshoot HR databases and data systems. Manage, pre-process, and analyze large datasets to support HR initiatives. Design and implement ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) processes to move HR data efficiently. Utilize SQL, Python, or other programming languages to analyze HR data, identify trends, and generate insights. Integrate various systems and databases to streamline data flow and accessibility. Work with the team and take the lead in updating existing datasets and implementing organizational changes to reflect in our datasets and, eventually, in our People Insight inventory of metrics and visuals. Collaborate with HR and other dep...

Design, develop, and maintain scalable data pipelines and ETL/ELT processes to process structured and unstructured data. Implement robust data models, data lakes, and data warehouses that enable analytics and machine learning use cases. Collaborate with software engineers, data scientists, and business stakeholders to deliver high-quality, production-ready data solutions. Ensure data quality, governance, and lineage tracking across all data assets. Drive operational excellence through automation, monitoring, and alerting for data systems. Apply engineering best practices (CI/CD, testing frameworks, code reviews, performance optimization) to ensure reliability and maintainability of data work...

As a Consultant & Senior Consultant in our Consulting team, you ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations. You ll: We are 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. Key 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. Build and maintain data lakes using S3 and Delta Lake ...