965 Aws Glue jobs in India

Educational Requirements

Bachelor of Engineering

Service Line

Data & Analytics Unit

Responsibilities

A day in the life of an Infoscion- As 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 optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes.
- You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for youIf you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you

Technical and Professional Requirements:

• Primary skills: Technology->Cloud Platform->AWS Data Analytics->AWS Glue DataBrew

Preferred Skills:

Technology->Cloud Platform->AWS Data Analytics->AWS Glue DataBrew

Educational Requirements

Bachelor of Engineering

Service Line

Data & Analytics Unit

Responsibilities

A day in the life of an Infoscion- As part of the Infosys consulting team, your primary role would be to lead the engagement effort of providing high-quality and value-adding consulting solutions to customers at different stages- from problem definition to diagnosis to solution design, development and deployment.
- You will review the proposals prepared by consultants, provide guidance, and analyze the solutions defined for the client business problems to identify any potential risks and issues.
- You will identify change Management requirements and propose a structured approach to client for managing the change using multiple communication mechanisms.
- You will also coach and create a vision for the team, provide subject matter training for your focus areas, motivate and inspire team members through effective and timely feedback and recognition for high performance.
- You would be a key contributor in unit-level and organizational initiatives with an objective of providing high-quality, value-adding consulting solutions to customers adhering to the guidelines and processes of the organization. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you

Technical and Professional Requirements:

• Primary skills: Technology->Cloud Platform->AWS Data Analytics->AWS Glue DataBrew

Preferred Skills:

Technology->Cloud Platform->AWS Data Analytics->AWS Glue DataBrew

Pyspark SparkSQL SQL and Glue. ii. AWS cloud experience iii. Good understanding of dimensional modelling iv. Good understanding DevOps CloudOps DataOps CI/CD & with a SRE mindset v. Understanding of Lakehouse and DW architecture vi. strong analysis and analytical skills vii. understanding of version control systems specifically Git viii. strong in software engineering APIs Microservices etc. Soft skills i. written and oral communication skills ii. ability to translate business needs to system.

Location - Hyderabad,Kolkata,Peth,Pune

Perficient is the global AI-first consultancy. Our team of strategists, designers, technologists, and engineers partners with the worlds most innovative enterprises and admired brands to deliver real business results through the transformative power of AI. As part of our AI-First strategy, we empower every employee to build AI fluency and actively engage with AI tools to drive innovation and efficiency. We break boundaries, obsess over outcomes, and shape the future for our clients. Join a company where bold ideas and brilliant minds converge to redefine whats possible - while building a career filled with growth, balance, and purpose

AWS Glue Data Engineer

Location: Chennai | Bangalore | Hyderabad

Experience: 5 10 Years

Employment Type: Full-Time

Are you passionate about building scalable, efficient data pipelines on AWS? Were looking for an experienced AWS Glue Data Engineer to join our growing data team

In this role, youll work with modern data architecture, build complex ETL pipelines, and collaborate with cross-functional teams to deliver reliable data solutions at scale.

What You'll Do:

Design and develop robust ETL pipelines using AWS Glue (PySpark, Glue Studio)

Work with various data sources (RDBMS, S3, APIs) to ingest, transform, and load data

Optimize Glue jobs for performance and cost-efficiency

Collaborate with Data Scientists, Analysts, and other Engineers

Implement data governance and security best practices

Use AWS services like S3, Redshift, Athena, Lambda, and Step Functions effectively

What We're Looking For:

5–10 years of overall data engineering experience

Minimum 3+ years hands-on with AWS Glue and PySpark

Proficiency in SQL, Python, and AWS data tools

Strong understanding of data lake architecture

Good communication and problem-solving skills

Bonus Points For:

Experience with AWS Lake Formation

Familiarity with CI/CD, Terraform, or CloudFormation

AWS Certifications (Data Analytics, Solutions Architect)

Job Description

Job Title: Vanguard AWS Glue Developer

Location: Pune

Experience: Years

Employment Type: Contract

Work Mode: Onsite

About the Role:

We are seeking an experienced AWS Glue Developer with strong expertise in building scalable ETL pipelines and data integration solutions on AWS cloud platform. The ideal candidate will have hands-on experience with Vanguard applications and AWS Glue ecosystem, capable of designing, developing, and optimizing large-scale data workflows.

Key Responsibilities:

Design, develop, and maintain ETL pipelines using AWS Glue for data ingestion, transformation, and loading

Build and optimize Glue jobs using Python/PySpark for processing large-scale datasets

Develop data integration solutions connecting multiple data sources to AWS data lakes and warehouses Implement data quality checks, validation rules, and error handling mechanisms in ETL workflows Work with Glue Data Catalog for metadata management and schema evolution

Optimize Glue job performance through partitioning, bucketing, and resource tuning

Collaborate with data engineers, architects, and business teams to understand data requirements Implement data security best practices including encryption, IAM policies, and access controls Troubleshoot and resolve production issues in ETL pipelines

Create technical documentation for ETL processes and data lineage Participate in code reviews and ensure adherence to coding standards

Monitor and maintain data pipeline health using CloudWatch and other AWS monitoring tools

Must-Have Skills:

Technical Skills (Mandatory):

• AWS Glue: 3+ years of hands-on experience in AWS Glue ETL development
• Python/PySpark: Strong programming skills in Python and PySpark for data transformation
• AWS Services: Proficiency in S3, Redshift, Athena, Lambda, and EMR
• Data Formats: Experience with Parquet, Avro, JSON, CSV, and ORC file formats
• SQL: Advanced SQL skills for data querying and transformation
• ETL Concepts: Deep understanding of ETL/ELT design patterns and best practices
• Data Modeling: Knowledge of dimensional modeling, star/snowflake schemas
• Version Control: Experience with Git/Bitbucket for code management

Preferred Skills:

• Experience with Vanguard platform or financial services domain Knowledge of AWS Step Functions for workflow orchestration Familiarity with Apache Spark optimization techniques
• Experience with data lake architectures and Delta Lake
• AWS certifications (Solutions Architect, Data Analytics, Developer) Experience with CI/CD pipelines for data workflows
• Knowledge of data governance and compliance frameworks
• Exposure to Terraform or CloudFormation for infrastructure as code

Soft Skills:

• Strong analytical and problem-solving abilities
• Excellent communication skills for stakeholder interaction Ability to work independently and in team environments

Proactive approach to identifying and resolving issues Strong documentation skills

Educational Qualification:

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field Relevant AWS certifications are a plus

Job Title: AWS Glue Developer 

Location: Remote 
Employment Type: (Full-Time/Contract) 
Experience Level: 5 to 12 years 
 

Job Summary:  

We are seeking a skilled and experienced AWS Glue Developer to join our dynamic team. The ideal candidate will have a strong background in data integration, ETL (Extract, Transform, Load) processes, and cloud-based data solutions. As an AWS Glue Developer, you will be responsible for designing, developing, and maintaining data pipelines using AWS Glue, ensuring efficient data processing and integration across various data sources. You will work closely with data engineers, data scientists, and other stakeholders to deliver scalable and reliable data solutions. 

Key Responsibilities:  

• Design and Development:  

• Design, develop, and maintain ETL pipelines using AWS Glue to extract, transform, and load data from various sources (e.g., S3, RDS, Redshift, etc.). 

• Implement data integration solutions to support business requirements and data analytics needs. 

• Optimize and tune AWS Glue jobs for performance and cost-efficiency. 

• Data Processing:  

• Develop and maintain data processing workflows using AWS Glue, PySpark, and other relevant technologies. 

• Handle large-scale data processing tasks, ensuring data quality and integrity. 

• Implement data transformation logic using Python, Scala, or SQL. 

• Data Cataloging:  

• Manage and maintain the AWS Glue Data Catalog, including metadata management and schema definitions. 

• Ensure data is properly cataloged and accessible for querying and analysis. 

• Collaboration:  

• Work closely with data engineers, data scientists, and business analysts to understand data requirements and deliver solutions. 

• Collaborate with cross-functional teams to integrate data pipelines with other systems and applications. 

• Monitoring and Troubleshooting:  

• Monitor AWS Glue jobs and data pipelines for performance, errors, and data quality issues. 

• Troubleshoot and resolve issues related to data processing and integration. 

• Documentation:  

• Document data pipelines, workflows, and processes for future reference and knowledge sharing. 

• Maintain up-to-date documentation on data architecture, ETL processes, and AWS Glue configurations. 

• Security and Compliance:  

• Ensure data security and compliance with company policies and industry regulations. 

• Implement data encryption, access controls, and other security measures as needed. 

Qualifications:  

• Education:  

• Bachelor's degree in Computer Science, Information Technology, or a related field. 

• Experience:  

• Proven experience as an AWS Glue Developer or in a similar role. 

• Strong experience with AWS services, particularly AWS Glue, S3, Redshift, RDS, Lambda, and IAM. 

• Hands-on experience with ETL processes, data integration, and data pipeline development. 

• Proficiency in programming languages such as Python, Scala, or Java. 

• Experience with big data technologies like Apache Spark, Hadoop, or similar. 

• Familiarity with SQL and database management systems (e.g., MySQL, PostgreSQL, etc.). 

• Experience with data warehousing solutions (e.g., Amazon Redshift, Snowflake, etc.) is a plus. 

• Skills:  

• Strong understanding of data modeling, data architecture, and data governance. 

• Excellent problem-solving skills and attention to detail. 

• Ability to work independently and as part of a team. 

• Strong communication and collaboration skills. 

• Certifications (Preferred):  

• AWS Certified Data Analytics – Specialty. 

• AWS Certified Solutions Architect – Associate/Professional. 

• Other relevant AWS certifications. 

Preferred Qualifications:  

• Experience with CI/CD pipelines and version control systems (e.g., Git, Jenkins, etc.). 

• Knowledge of data visualization tools (e.g., Tableau, Power BI, etc.). 

• Familiarity with machine learning and data science workflows. 

• Experience with containerization technologies (e.g., Docker, Kubernetes). 

What We Offer:  

• Competitive salary and benefits package. 

• Opportunities for professional growth and development. 

• A collaborative and innovative work environment. 

• Flexible working hours and remote work options. 

• Access to cutting-edge technologies and tools.