1831 Aws Glue Jobs

AIA-Pune Job Summary We are seeking a Sr. Developer with 6 to 10 years of experience to join our team. The ideal candidate will have expertise in AWS services Python and data optimization. This role involves developing and optimizing cloud-based solutions to enhance our data infrastructure. The position offers a hybrid work model with no travel required focusing on regulatory and compliance domains. Responsibilities Develop and implement scalable cloud-based solutions using AWS Cloud Formation AWS Glue and AWS Lambda to enhance data processing capabilities. Optimize database performance and data modeling techniques to ensure efficient data retrieval and storage. Collaborate with cross-functi...

Role & responsibilities Key Responsibilities Design, build, and maintain scalable, reliable, and secure data pipelines on AWS. Architect and implement data lakes and data warehouses using AWS services. Lead end-to-end ETL/ELT pipeline development for structured and unstructured data. Optimize data ingestion, processing, storage, and retrieval for performance and cost. Work with stakeholders to understand business requirements and translate them into data solutions. Implement data quality, validation, lineage, and monitoring frameworks . Ensure data security, governance, and compliance using IAM, encryption, and best practices. Mentor junior data engineers and provide technical leadership. Pa...

In this role as an SQL ETL Snowflake Developer, you will leverage your expertise in advanced SQL, focusing primarily on Snowflake. Your responsibilities will revolve around working in data integration, utilizing ETL tools like Datastage, Informatica, or Snaplogic. It will be crucial to translate technical requirements into data collection queries. Your role also involves collaborating with business and IT teams to convert requirements into queries and having a strong grasp of ETL architecture and design. Your key responsibilities will include: - Utilizing advanced SQL skills with a specialization in Snowflake for data integration tasks - Working with ETL tools like Datastage, Informatica, or...

As a Data Engineer at Tredence, you will be responsible for working with various AWS technologies like Glue, Redshift, S3 Tables, and PySpark to build and maintain data pipelines. Your expertise in AWS services will be crucial in ensuring smooth data processing and analysis for the organization. - Utilize AWS Glue and Glue catalogue for data extraction, transformation, and loading processes. - Work with AWS Redshift/Redshift Spectrum to manage and optimize data warehousing solutions. - Implement Managed Airflow/Step Function for orchestrating data workflows efficiently. - Create and manage AWS S3 Tables/Iceberg/Athena for storing and querying large datasets. - Develop data processing tasks u...

Strong experience in Python for data processing Hands-on with Apache Airflow for workflow orchestration Experience with Apache Spark / PySpark Snowflake data warehousing Good understanding of AWS services (S3, EC2, Lambda, Glue, Redshift)

Strong AWS(Glue,Lambda, SQS, SNS) and ETL development experience of >5 years Good experience in end-to-end implementation of AWS Development projects, especially Glue and Lambda Services Good experience in ETL tool preferably Matillion Knowledge on DBT tool and Snowflake is must Very strong in English communication -written and verbal Strong SQL Skills Good Understanding of ServiceNow and JIRA Ticketing tools.

Strong AWS(Glue,Lambda, SQS, SNS) and ETL development experience of >5 years Good experience in end-to-end implementation of AWS Development projects, especially Glue and Lambda Services Good experience in ETL tool preferably Matillion Knowledge on DBT tool and Snowflake is must Very strong in English communication -written and verbal Strong SQL Skills Good Understanding of ServiceNow and JIRA Ticketing tools.

Strong AWS(Glue,Lambda, SQS, SNS) and ETL development experience of >5 years Good experience in end-to-end implementation of AWS Development projects, especially Glue and Lambda Services Good experience in ETL tool preferably Matillion Knowledge on DBT tool and Snowflake is must Very strong in English communication -written and verbal Strong SQL Skills Good Understanding of ServiceNow and JIRA Ticketing tools.

Strong AWS(Glue,Lambda, SQS, SNS) and ETL development experience of >5 years Good experience in end-to-end implementation of AWS Development projects, especially Glue and Lambda Services Good experience in ETL tool preferably Matillion Knowledge on DBT tool and Snowflake is must Very strong in English communication -written and verbal Strong SQL Skills Good Understanding of ServiceNow and JIRA Ticketing tools.

Strong AWS(Glue,Lambda, SQS, SNS) and ETL development experience of >5 years Good experience in end-to-end implementation of AWS Development projects, especially Glue and Lambda Services Good experience in ETL tool preferably Matillion Knowledge on DBT tool and Snowflake is must Very strong in English communication -written and verbal Strong SQL Skills Good Understanding of ServiceNow and JIRA Ticketing tools.

Strong AWS(Glue,Lambda, SQS, SNS) and ETL development experience of >5 years Good experience in end-to-end implementation of AWS Development projects, especially Glue and Lambda Services Good experience in ETL tool preferably Matillion Knowledge on DBT tool and Snowflake is must Very strong in English communication -written and verbal Strong SQL Skills Good Understanding of ServiceNow and JIRA Ticketing tools.

Seeking AWS & MuleSoft devs (ETL, APIs, Glue, Lambda, SNS/SQS, RDS) for cloud/event-based design. Must work NA hours & manage vendor interaction. Strong integration skills required.

Seeking AWS & MuleSoft devs (ETL, APIs, Glue, Lambda, SNS/SQS, RDS) for cloud/event-based design. Must work NA hours & manage vendor interaction. Strong integration skills required.

Seeking AWS & MuleSoft devs (ETL, APIs, Glue, Lambda, SNS/SQS, RDS) for cloud/event-based design. Must work NA hours & manage vendor interaction. Strong integration skills required.

Seeking AWS & MuleSoft devs (ETL, APIs, Glue, Lambda, SNS/SQS, RDS) for cloud/event-based design. Must work NA hours & manage vendor interaction. Strong integration skills required.

Data Engineer Name:Data Engineer Role:Data EngineerIndustry:Software/ ITLocation:Udaipur (Rajasthan)Job Type:Full TimeExperience:3- 6yearsSkills:Data Engineer,ETL/ELT processes,data ingestion, cloud platforms,big data tools,CI/CD pipelinesSalary:Best in the industryEducation:BTech (CS/IT/EC), BCA, MCA Description: 3+ years of experience in a data engineering or related role, managing complex data workflows and large-scale datasets. Expertise in SQL, with the ability to write, optimize, and troubleshoot complex queries for relational databases like MySQL, PostgreSQL, Oracle, or Snowflake. Proficiency in Python, including libraries like Pandas, PySpark, and others used for data manipulation an...

Skill: AWS Glue + PySpark Experience : 6 to 13 Years Location : AIA - Pune Key Responsibilities: Design, develop, and optimize AWS Glue ETL jobs using PySpark. Integrate data from multiple sources (S3, RDS, Redshift, DynamoDB, etc.) into a centralized data lake or warehouse. Implement data transformations, cleansing, and enrichment logic in PySpark. Configure and manage AWS Glue Crawlers for schema inference and Data Catalog updates. Optimize job performance by tuning Spark configurations and partitioning strategies. Implement error handling, logging, and monitoring for Glue jobs. Collaborate with data engineers and analysts to define data requirements and transformation rules. Ensure data q...

RDS,DynamoDB,Aurora(must have)AWS Code,AWS CodeBuild,AWS CodeDeploy,AWS CodePipeline(must have)EC2 ,Lambda,ElasticBeanstalk ECS, EKS (must have)AWS AppFlow,AWS DataSync Amazon API Gateway Amazon SQS,Amazon SNS,Amazon MQ Amazon Event Bridge AWS Glue,

RDS,DynamoDB,Aurora(must have)AWS Code,AWS CodeBuild,AWS CodeDeploy,AWS CodePipeline(must have)EC2 ,Lambda,ElasticBeanstalk ECS, EKS (must have)AWS AppFlow,AWS DataSync Amazon API Gateway Amazon SQS,Amazon SNS,Amazon MQ Amazon Event Bridge AWS Glue,

RDS,DynamoDB,Aurora(must have)AWS Code,AWS CodeBuild,AWS CodeDeploy,AWS CodePipeline(must have)EC2 ,Lambda,ElasticBeanstalk ECS, EKS (must have)AWS AppFlow,AWS DataSync Amazon API Gateway Amazon SQS,Amazon SNS,Amazon MQ Amazon Event Bridge AWS Glue,

RDS,DynamoDB,Aurora(must have)AWS Code,AWS CodeBuild,AWS CodeDeploy,AWS CodePipeline(must have)EC2 ,Lambda,ElasticBeanstalk ECS, EKS (must have)AWS AppFlow,AWS DataSync Amazon API Gateway Amazon SQS,Amazon SNS,Amazon MQ Amazon Event Bridge AWS Glue,

Strong AWS(Glue,Lambda, SQS, SNS) and ETL development experience of >5 years Good experience in end-to-end implementation of AWS Development projects, especially Glue and Lambda Services Good experience in ETL tool preferably Matillion Knowledge on DBT tool and Snowflake is must Very strong in English communication -written and verbal Strong SQL Skills Good Understanding of ServiceNow and JIRA Ticketing tools.

Strong exp with AWS Glue (Jobs, Crawlers, Workflows) • Hands-on knowledge of AWS Glue Data Catalog • Exp building AWS data pipelines and VPC, IAM, and security best practices • Proficiency in Python (PySpark) • Exp with S3-based data lakes

Roles and Responsibilities Location - Bangalore Exp - 6 - 10 Design, develop, test, deploy, and maintain large-scale data pipelines using AWS services such as S3, Glue, Lambda, EMR, etc. Collaborate with cross-functional teams to gather requirements and design solutions that meet business needs. Develop complex SQL queries to extract insights from massive datasets stored in Amazon Redshift. Troubleshoot issues related to data processing workflows and provide timely resolutions. Ensure high availability and scalability of the system by implementing monitoring tools like CloudWatch.

Data Engineer NameData Engineer RoleData EngineerIndustrySoftware/ ITLocationUdaipur (Rajasthan)Job TypeFull TimeExperience3- 6years Skills: Data Engineer,ETL/ELT processes,data ingestion, cloud platforms,big data tools,CI/CD pipelinesSalaryBest in the industryEducationBTech (CS/IT/EC), BCA, MCA Description: 3+ years of experience in a data engineering or related role, managing complex data workflows and large-scale datasets. Expertise in SQL, with the ability to write, optimize, and troubleshoot complex queries for relational databases like MySQL, PostgreSQL, Oracle, or Snowflake. Proficiency in Python, including libraries like Pandas, PySpark, and others used for data manipulation and proc...