869 Aws Glue Jobs - Page 2

Design and implement scalable data processing solutions usingApache SparkandJava. Develop and maintain high-performance backend services and APIs. Collaborate with data scientists, analysts, and other engineers to understand data requirements. Optimize Spark jobs for performance and cost-efficiency. Ensure code quality through unit testing, integration testing, and code reviews. Work with large-scale datasets in distributed environments (e.g., Hadoop, AWS EMR, Databricks). Monitor and troubleshoot production systems and pipelines. Experience in Agile Development Process. Experience in leading a 3-5 member team on the technology front Excellent communication skills, problem solving and debugg...

AWS data developers with 6-10 years experience certified candidates (AWS data engineer associate or AWS solution architect) are preferred Skills required - SQL, AWS Glue, PySpark, Air Flow, CDK, Red shift Good communication skills and can deliver independently Mandatory Competencies Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift Big Data - Big Data - Pyspark Beh - Communication Database - Database Programming - SQL Perks and Benefits for Irisians we offer world-class benefits designed to support the financial, health and well-being needs of our associates to help achieve harmony between their professional and personal growth. From comprehensive health ...

Key Responsibilities: Team Leadership & Technical Mentorship: Lead, manage, and mentor a team of data engineers, fostering a culture of technical excellence and collaborative problem-solving. Conduct code reviews, provide architectural guidance. Hands-On Technical Contribution: Architecting and implementing critical components of the data platform. Expertise with PySpark, Scala, and SQL will be essential. Architectural Ownership: Design and own the roadmap for the data ecosystem. Lead the architecture of scalable and resilient data solutions, including Data Lakehouse , real-time streaming services using Kafka , and large-scale batch processing jobs using Apache Spark . Platform Modernization...

Support enhancements to the MDM and Performance platform Track System Performance Troubleshoot issues Resolve production issues Required Candidate profile 5+ years in Python and advanced SQL including profiling, refactoring Experience with REST API and Hands on AWS Glue EMR etc Experience with Markit EDM or Semarchy or MDM will be plus

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Lead Consultant-Data Engineer, AWS+Python, Spark, Kafka for ETL! Responsibilities Develop, deploy, and manage ETL...

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Lead Consultant-Data Engineer, AWS+Python, Spark, Kafka for ETL! Responsibilities Develop, deploy, and manage ETL...

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Lead Consultant-Data Engineer, AWS+Python, Spark, Kafka for ETL! Responsibilities Develop, deploy, and manage ETL...

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : AWS Glue Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As part of a Data Transformation programme you will be part of the Data Marketplace team. In this team you will be responsible for the design and implementation of dashboard for assessing compliance to controls and policies at various stages of the data product lifecycle, with centralised compliance scoring.Preferable having experience with data product lifecycle.Example sk...

Job Summary We are seeking an experienced ETL Developer with 4+ years of expertise in building scalable data pipelines using AWS Glue, PySpark, and Python . The role involves migrating data from sources like S3 and SQL Server to PostgreSQL , ensuring high performance, data quality, and compliance within a modern AWS-based data ecosystem. Key Responsibilities: * Design, develop, and maintain **ETL pipelines** using **AWS Glue, PySpark, and Python**. * Migrate large-scale datasets from **Amazon S3** or **SQL Server** to **PostgreSQL (RDS/On-Prem/Cloud)**. * Optimize data extraction, transformation, and loading for performance and cost efficiency. * Implement **data validation, reconciliation, ...

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. (Immediate Joiners).

About The Role Location: Bangalore Experience: 6 - 9 Years Role Overview: We are looking for a Data Engineer with strong expertise in Python, PySpark, AWS Glue, and Lambda . The ideal candidate should have experience in data processing, transformation, and cloud-based data workflows . A strong foundation in PL/SQL and PostgreSQL is required, and experience with AWS services such as SNS and Step Functions, along with Java API development, would be a plus . Key Responsibilities: Develop and optimize ETL pipelines using AWS Glue, Lambda, and PySpark . Work with large-scale data processing and transformation using Python and Spark . Design and implement data workflows for structured and unstruct...

Your Role IT experience with a minimum of 5+ years of experience in creating data warehouses, data lakes, ETL/ELT, data pipelines on cloud. Has data pipeline implementation experience with any of these cloud providers - AWS, Azure, GCP. preferably - Life Sciences Domain Experience with cloud storage, cloud database, cloud Data ware housing and Data Lake solutions like Snowflake, Big query, AWS Redshift, ADLS, S3. Experience with cloud storage, cloud database, cloud Data ware housing and Data Lake solutions like Snowflake, Big query, AWS Redshift, ADLS, S3. Experience in using cloud data integration services for structured, semi structured and unstructured data such as Azure Databricks, Azure...

This is 100% WFO opportunity at our Whitefield, Bengaluru office. Please don't apply if you can't comply. Position Overview: We seek a highly skilled and experienced Data Engineering Lead to join our team. This role demands deep technical expertise in Apache Spark, Hive, Trino (formerly Presto), Python, AWS Glue, and the broader AWS ecosystem. The ideal candidate will possess strong hands-on skills and the ability to design and implement scalable data solutions, optimise performance, and lead a high-performing team to deliver data-driven insights. Key Responsibilities: Technical Leadership Lead and mentor a team of data engineers, fostering best practices in coding, design, and delivery. Dri...

As a Senior Developer in AWS Data Engineering, you will have the opportunity to design, build, and optimize large-scale data pipelines on AWS, enabling high-performance analytics and AI-ready data platforms. **Key Responsibilities:** - Build & manage data pipelines using Glue, Spark & S3 - Optimize Redshift queries, schema & performance - Support large-scale data ingestion & transformation - Integrate with upstream APIs & external platforms - Ensure data reliability, observability & monitoring **Qualifications Required:** - Strong expertise in AWS Glue, S3 & Redshift - Proficiency in Python, SQL & Spark - Solid understanding of data warehouse & lake concepts - Experience with incremental pip...

As a Senior Data Engineer at our company, you will play a crucial role in leading the design, development, and optimization of scalable, secure, and high-performance data solutions in Databricks. Your responsibilities will include: - Leading Data Architecture & Development by designing and optimizing data solutions in Databricks - Building and maintaining ETL/ELT pipelines, integrating Databricks with Azure Data Factory or AWS Glue - Implementing machine learning models and AI-powered solutions for business innovation - Collaborating with data scientists, analysts, and business teams to translate requirements into technical designs - Enforcing data validation, governance, and security best p...

Job Duties: Wyndham Group of Hotels is advancing its modern data platform on Databricks (AWS) and is seeking a senior offshore data engineering lead to build high-performance, production-grade data pipelines. This role is not migration-focused initially but will evolve into one. The current mandate is to ingest semi-structured JSON data dropped via SFTP to S3, transform and validate it using Databricks, and deliver curated datasets into Amazon Redshift. This is a player-coach role, ideal for a technically hands-on leader capable of delivering pipelines while mentoring junior engineers and ensuring best practices across the offshore team. Initial Scope and Responsibilities:Develop high-perfor...

Job Duties: Migrate ETL workflows from SAP BODS to AWS Glue/dbt/Talend. Develop and maintain scalable ETL pipelines in AWS. Write PySpark scripts for large-scale data processing. Optimize SQL queries and transformations for AWS PostgreSQL. Work with Cloud Engineers to ensure smooth deployment and performance tuning. Integrate data pipelines with existing Unix systems. Document ETL processes and migration steps. Minimum Skills Required: Strong hands-on experience with SAP BODS. Proficiency in PySpark and Python scripting. Experience with AWS PostgreSQL (schema design, performance tuning, migration). Strong SQL and data modelling skills. Experience with Unix/Linux and shell scripting. Knowledg...

We are looking for an experienced Data Engineer to join our team and support the Data Analytics Platform. This role focuses on building and maintaining scalable, secure, and high-performance data infrastructure using AWS services.

Expertise in Tableau Experience integrating with Redshift or other DWH Platforms and understanding DWH concepts. Python or similar scripting languages Experience with AWS Glue, Athena, or other AWS data services.Strong SQL skills, AWS QuickSight

Senior Data Engineer - Cloud Data Platform Position Overview We are seeking a highly skilled Senior Data Engineer to join our data platform team, responsible for designing and implementing scalable, cloud-native data solutions. This role focuses on building modern data infrastructure using AWS and Azure services to support our growing analytics and machine learning initiatives. Key Responsibilities Business Translation : Collaborate with business stakeholders to understand requirements and translate them into scalable data models, architectures, and robust end-to-end data pipelines ETL/ELT Implementation : Design, develop, and maintain high-performance batch and real-time data pipelines usin...

Position Overview: We seek a highly skilled and experienced Data Engineering Lead to join our team. This role demands deep technical expertise in Apache Spark, Hive, Trino (formerly Presto), Python, AWS Glue, and the broader AWS ecosystem. The ideal candidate will possess strong hands-on skills and the ability to design and implement scalable data solutions, optimise performance, and lead a high-performing team to deliver data-driven insights. Key Responsibilities: Technical Leadership Lead and mentor a team of data engineers, fostering best practices in coding, design, and delivery. Drive the adoption of modern data engineering frameworks, tools, and methodologies to ensure high-quality and...

Role Overview: We are looking for a hands-on Senior Data Engineer experienced in migrating and building large-scale data pipelines on Databricks using Azure or AWS platforms. The role will focus on implementing batch and streaming pipelines, applying the bronze-silver-gold data lakehouse model, and ensuring scalable and reliable data solutions. Required Skills and Experience: 6+ years of hands-on data engineering experience, with 2+ years specifically working on Databricks in Azure or AWS. Proficiency in building and optimizing Spark pipelines (batch and streaming). Strong experience implementing bronze/silver/gold data models. Working knowledge of cloud storage systems (ADLS, S3) and comput...

Role Overview: We are seeking an experienced Data Architect specializing in Databricks to lead the architecture, design, and migration of enterprise data workloads from on-premises systems (e.g., Oracle, Exadata, Hadoop) to Databricks on Azure or AWS . The role involves designing scalable, secure, and high-performing data platforms based on the medallion architecture (bronze, silver, gold layers), supporting large-scale ingestion, transformation, and publishing of data. Required Skills and Experience: 8+ years of experience in data architecture or engineering roles, with at least 3+ years specializing in cloud-based big data solutions. Hands-on expertise with Databricks on Azure or AWS . Dee...

Design and implement scalable data processing solutions usingApache SparkandJava. Develop and maintain high-performance backend services and APIs. Collaborate with data scientists, analysts, and other engineers to understand data requirements. Optimize Spark jobs for performance and cost-efficiency. Ensure code quality through unit testing, integration testing, and code reviews. Work with large-scale datasets in distributed environments (e.g., Hadoop, AWS EMR, Databricks). Monitor and troubleshoot production systems and pipelines. Experience in Agile Development Process. Experience in leading a 3-5 member team on the technology front Excellent communication skills, problem solving and debugg...

Design and implement scalable data processing solutions usingApache SparkandJava. Develop and maintain high-performance backend services and APIs. Collaborate with data scientists, analysts, and other engineers to understand data requirements. Optimize Spark jobs for performance and cost-efficiency. Ensure code quality through unit testing, integration testing, and code reviews. Work with large-scale datasets in distributed environments (e.g., Hadoop, AWS EMR, Databricks). Monitor and troubleshoot production systems and pipelines. Experience in Agile Development Process. Excellent communication skills, problem solving and debugging and troubleshooting Skills. Mandatory Competencies Architect...