1844 Aws Glue Jobs - Page 19

Roles and Responsibilities Design, develop, and maintain large-scale data pipelines using AWS services such as S3, Lambda, Step Functions, etc. Develop ETL processes using PySpark and Python to extract insights from structured and unstructured data sources. Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs. Ensure high-quality code by writing unit tests, integrating with CI/CD pipelines, and following best practices for scalability and performance. Troubleshoot issues related to data processing workflows and provide timely resolutions.

Job Title: Lead Data Engineer Location: Mumbai / Pune Experience: 8+ yrs Job Summary: We are seeking a technically strong and delivery-focused Lead Engineer to support and enhance enterprise-grade data and application products under the Durables model. The ideal candidate will act as the primary technical interface for the client, ensuring high system availability, performance, and continuous improvement. This role requires a hands-on technologist with strong team management experience, cloud (AWS) expertise, and excellent communication skills to handle client interactions and drive technical decisions. Key Responsibilities: Support & Enhancement Leadership Act as the primary technical lead ...

As a Data Engineer at our company, you will play a crucial role in designing, developing, and optimizing data pipelines to ensure seamless integration and transformation of data across various systems. Your expertise in Python, SQL, and AWS will be essential in building scalable and secure data solutions. Here is a breakdown of the key responsibilities, required technical skills, and professional attributes for this role: Key Responsibilities: - Design, build, and manage robust and scalable data pipelines for both batch and real-time processing. - Develop ETL processes to acquire, transform, and integrate data from multiple sources. - Build and maintain data warehouses, data lakes, and stora...

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : AWS Glue Good to have skills : Python (Programming Language), Amazon Web Services (AWS), Machine LearningMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutio...

About the Role: We are seeking a skilled AWS Engineer to design, implement, and manage cloud infrastructure on Amazon Web Services (AWS). The ideal candidate will have hands-on experience with AWS services, cloud architecture, and deployment automation. You will work closely with development, operations, and security teams to ensure scalable, reliable, and secure cloud solutions. Key Responsibilities: Design, deploy, and manage scalable AWS infrastructure solutions for applications and services. Configure and manage AWS services including EC2, S3, VPC, RDS, Lambda, CloudFront, CloudWatch, and IAM. Implement infrastructure-as-code using tools such as Terraform, CloudFormation, or AWS CDK . Mo...

Design, develop, and maintain ETL pipelines using AWS Glue, Redshift, and other AWS services. Optimize data models and queries for performance, scalability, and reliability. Collaborate with data architects, analysts, and business teams to understand requirements and deliver data solutions. Implement data quality, governance, and security standards across data pipelines. Automate workflows, monitoring, and performance tuning in AWS environments. Manage data ingestion from multiple structured and unstructured sources. Troubleshoot and resolve data processing issues in production environments. Required Skills: Strong experience in AWS Redshift (performance tuning, schema design, and data wareh...

Data Engineer AWS | Redshift | Snowflake | AI & Automation Location: Madhapur, Hyderabad Department: Data Engineering / Analytics Employment Type: Full-time About the Role: We are seeking an experienced Data Engineer to join our expanding Data & Analytics team. In this role, you will design and build scalable data pipelines, automate data migration from MySQL RDS (OLTP) to Amazon Redshift or Snowflake (OLAP), and enable AI-driven predictive and generative analytics to power business insights. You’ll work across cloud and AI technologies in the AWS ecosystem, creating intelligent, automated data workflows that reduce manual effort and accelerate data availability for reporting, analytics, and...

Dear Candidates, Hiring For Data Engineer NOTE: Wak-IN -20-Nov-25 & 21-Nov-25 Role: Data Engineer Location: Bangalore (Manyata Tech Park) Notice: Immediate -30 days Mandatory skills: -Azure Databricks -AWS, Glue, Python ,Postgresql, MariaDB, Hive ,Spark Required Skills : 7+ years of experience in data engineering or similar roles. Expertise in Azure and AWS cloud ecosystems. Strong programming skills ( Python, PySpark, SQL ). AWS, Glue, Python ,Postgresql, MariaDB, Hive ,Spark Experience with big data tools (Spark, Hadoop, Databricks). Strong understanding of data warehousing , ETL/ELT frameworks, and data modeling. Hands-on experience building data lakes and data warehouses . Experience wit...

About the Role: We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures. The ideal candidate will transform raw data into structured, high-quality datasets to support analytics, reporting, and data-driven decision-making across the organization. Key Responsibilities: 1. Data Pipeline & Architecture Design, develop, and maintain ETL (Extract, Transform, Load) pipelines to process structured and unstructured data. Build scalable and efficient data architectures to support analytics and reporting needs. Optimize data workflows for performance, reliability, and maintainability. 2. Data Integration & Management Integrate data from multiple s...

So, what’s the role all about? Within Actimize, the AI and Analytics Team is developing the next generation advanced analytical cloud platform that will harness the power of data to provide maximum accuracy for our clients’ Financial Crime programs. As part of the PaaS/SaaS development group, you will be responsible for developing this platform for Actimize cloud-based solutions and to work with cutting edge cloud technologies. How will you make an impact? NICE Actimize is the largest and broadest provider of financial crime, risk and compliance solutions for regional and global financial institutions & has been consistently ranked as number one in the space At NICE Actimize, we recognize th...

Role & responsibilities • A hands-on engineer with deep experience working with a variety of AWS services for ingestion, curation, storage, orchestration, data management, analytics and distribution. • Good knowledge of data modelling and how to structure data within a data warehousing environment, while following best practice data management standards. • Solid data product architecture and solution design experience with a good working knowledge of DevSecOps practices to achieve high levels of automation across complex data pipelines. • Experience in real time streaming using Confluence Kafka and AWS services. • Experience with Airflow, AWS Glue, Apache Iceberg, Athena, RedShift and DataZo...

We are looking for an experienced Data Engineering Manager with a strong foundation in Python, SQL, and Spark , and hands-on expertise in AWS, Databricks . In this role, you will build and maintain scalable data pipelines and architecture to support analytics, data science, and business intelligence initiatives. Youll work closely with cross-functional teams to drive data reliability, quality, and performance. Responsibilities: Design, develop, and optimize scalable data pipelines using Databricks in AWS such as Glue, S3, Lambda, EMR, Databricks notebooks, workflows and jobs. Building data lake in WS Databricks. Build and maintain robust ETL/ELT workflows using Python and SQL to handle struc...

Proficient in designing, developing and testing code to build data infrastructure and pipeline processes for batch and streaming data in the public (or private) cloud environment such as AWS, Azure, GCP. Familiar with leading practices around large scale data processing, data security and access control. Responsible for developing, provisioning, securing, monitoring and maintaining the data pipelines to support multiple enterprise and consumer applications in various environments such as production, staging, testing and development environments in an automated manner. Collaborate with Engineering teams to determine the infrastructure that is required to support the data pipelines. Monitor he...

Lead and manage data engineering and analytics projects from initiation to deployment. Work closely with stakeholders to define project scope, deliverables, timelines, and resources. Collaborate with data engineers, architects, and analysts to ensure technical feasibility and quality outcomes. Oversee data pipeline development, ETL/ELT processes, and cloud data platform implementation. Track and manage project risks, dependencies, and budgets. Ensure alignment with data governance, quality, and security standards. Conduct regular status reviews, stakeholder updates, and team stand-ups. Identify opportunities for process automation, optimization, and best practice adoption. Manage vendor coor...

Seeking a Data Engineer skilled in Python & AWS. Build and optimize data pipelines, models, and architectures using Lambda, Redshift, Glue, etc. Strong SQL/NoSQL, monitoring (CloudWatch/Grafana), and data governance expertise required.

Responsibilities Design and develop main and sub-contact flows in Amazon Connect. Configure call routing logic, contact attributes, queues, and hours of operation. Implement dynamic IVR menus and integrate AWS Lambda for ServiceNow API calls. Incorporate GDPR-compliant call recording and tagging. Troubleshoot and optimize call flow performance. Collaborate with Lex developers for LEX Bot NLP integration. Qualifications Strong hands-on experience with Amazon Connect and AWS Contact Flow Builder. Proficiency in dynamic routing, DTMF menus, and hours-of-operation logic. Advanced AWS Lambda and JSON-based API integration knowledge. Good Knowledge of Python or Node.js for Lambda function developm...

Responsibilities: Only 6+ allowed Design, develop & maintain ETL processes using AWS Glue, lambda, Python & SQL Optimize performance with Airflow workflows or Step Functions Sound knowledge on Python, spark & optimisation techniques Knowledge of Redshift Office cab/shuttle

Role & responsibilities We are looking for a Data Engineer with strong skills in AWS and data engineering tools to support and monitor our data pipelines and systems. The candidate will be responsible for monitoring, troubleshooting, and ensuring smooth execution of ETL/ELT workflows. Key Responsibilities Monitor and maintain AWS services like Redshift, S3, RDS, CloudWatch, AppFlow, EMR, Glue, and DMS. Monitor, schedule, and troubleshoot data workflows in Airflow. Ensure smooth execution of ETL/ELT jobs. Work with SQL and Python for data validation and troubleshooting. Raise alerts and coordinate with teams in case of failures. Required Skills Hands-on experience with AWS (Redshift, S3, RDS,...

About the Role: We are seeking a highly skilled Data Engineer to design, build, and optimize scalable data pipelines and infrastructure. The ideal candidate has a strong background in data architecture, ETL processes, and cloud technologies, with a passion for transforming raw data into actionable insights. Key Responsibilities: Design, develop, and maintain robust, scalable, and efficient data pipelines for collecting, processing, and storing large datasets. Build and manage data infrastructure and data models to support analytics, reporting, and machine learning use cases. Implement ETL/ELT processes to ensure high-quality, reliable, and consistent data. Collaborate with cross-functional t...

We are seeking a Junior Data Engineer who is enthusiastic about working with data, quick to learn new technologies, and ready to take on challenges in a collaborative environment. If youre a team player with a positive attitude and a drive to grow, we encourage you to apply! Roles and Responsibilities: Assist in building and maintaining data ingestion, processing, and analytical pipelines using AWS services (ETL/ELT preferred) Support the design of data models for performance and reliability Work with big data, relational databases, NoSQL, and data warehouse solutions under guidance Collaborate with senior engineers on developing, monitoring, and maintaining data pipelines Handle moderate da...

CACI International Inc is an American multinational professional services and information technology company headquartered in Northern Virginia. CACI provides expertise and technology to enterprise and mission customers in support of national security missions and government transformation for defense, intelligence, and civilian customers. CACI has approximately 23,000 employees worldwide. Headquartered in London, CACI Ltd is a wholly owned subsidiary of CACI International Inc., a publicly listed company on the NYSE with annual revenue in excess of US $6.2bn. Founded in 2022, CACI India is an exciting, growing and progressive business unit of CACI Ltd. CACI Ltd currently has over 2000 intell...

Role & responsibilities We are looking for an AWS Data Engineer to build and manage scalable data pipelines that support our multi-cloud cost analytics and FinOps initiatives . You will design ETL workflows, develop data models, and collaborate with analytics teams to deliver insights on cloud usage and cost efficiency. Key Skills: AWS Glue, Athena, Redshift, S3, Lake Formation, Python/PySpark, SQL, Terraform, and familiarity with FinOps or cost analytics. Nice to Have: Databricks, Snowflake, or multi-cloud experience.

Data Analyst | Power BI, SQL, Python, Azure - Job Description Data Analyst | Power BI, SQL, Python, Azure 1. Job Purpose The Senior Data Analytics Analyst will play a key role in delivering hands-on analytics solutions across the UK and Ireland. This role focuses on bespoke report building, dashboard development, and advanced data analysis using technologies such as Power BI, Microsoft Fabric, Snowflake, Azure, AWS, Python, SQL, and R. Experience in data science is highly advantageous, including the application of machine learning and predictive modelling to solve business problems. 2. Accountabilities & Activities Design and build interactive dashboards and reports using Power BI and Micros...

Description: Server Side Integration Services (SSIS) is a Microsoft data integration tool that allows developers to extract transform and load (ETL) data between different relational databases and file formats. It's a powerful tool for data warehousing data migration and data cleansing. About The Role : for an SSIS Developer: An SSIS developer is responsible for designing developing and maintaining data integration solutions using SSIS. They work closely with business analysts data architects and database administrators to understand data requirements and create efficient ETL processes. Key Responsibilities: Data Analysis:Analyze source and target data systems to understand data structures r...

Description: Responsibilities : Design and implement scalable data pipelines using AWS Glue for ETL processes. Develop data processing applications with Python ensuring data integrity and efficiency. Utilize AWS Lambda to create serverless solutions that automate data workflows. Monitor data pipelines and implement best practices for data governance and security. Document architecture processes and workflows for future reference and compliance. Must-Have Qualifications: Strong experience as a Data Engineer with a focus on AWS services. Proficiency in AWS Glue for building ETL workflows. Advanced programming skills in Python with experience in data manipulation libraries (e.g. Pandas NumPy). ...