At Tata Technologies we make product development dreams a reality by designing, engineering and validating the products of tomorrow for the world’s leading manufacturers. Due to our continued growth we are now recruiting for a AWS Data Engineer to be based at our office/ our customer’s site in Gaydon, Warwick .Our Product Lifecycle Management (PLM) practice helps manufacturers build better products, define better processes, and reduce costs. As an engineering services organization, we use the processes and software we recommend to our clients. We leverage two decades of PLM domain expertise, industry-leading software partnerships, innovative training services, and a laser‑like focus on understanding the product development challenges specific to each of our clients.The Role:The person will be placed as AWS Data Engineer in the PLM Operations Support Group. The primary responsibility is to design, implement, and manage enterprise data migration, integration, and cloud‑based data platforms, ensuring secure, scalable, reliable, and efficient data movement across business applications and cloud environments. The role requires strong hands‑on experience in AWS Data Services, including AWS Glue, Amazon Athena, Amazon Redshift, DynamoDB, Amazon EFS, Amazon FSx, NFS Storage, and expertise in data migration across cloud and on‑premises platforms. The individual will be responsible for facilitating data migration, integration, transformation, validation, and operational support for PLM applications and related enterprise systems. The customer team is responsible for the production operations of the PLM toolset, predominantly the 3DEXPERIENCE 2023x platform, and is adopting Agile methodologies for its operations. In this role, the person will join one of our teams and work closely with teammates and customer stakeholders.Area of ResponsibilityBe responsible for planning, implementation, and execution of data migration and integration activities.Design, develop, and maintain scalable ETL/ELT pipelines for enterprise data movement.Support migration of structured and unstructured data from on‑premises environments to AWS cloud platforms.Manage and support AWS data services including AWS Glue, Athena, Redshift, DynamoDB, S3, EFS, and FSx.Perform data validation, reconciliation, transformation, and quality assurance activities during migration projects.Design and optimize data models, data warehouses, and database structures.Implement automation for data ingestion, transformation, and migration processes.Ensure data security, governance, compliance, backup, and disaster recovery requirements are met.Monitor data pipelines and troubleshoot performance, availability, and operational issues.Support analytics, reporting, and business intelligence data requirements.Recommend process improvements and data architecture enhancements.Troubleshoot and resolve issues across data platforms, databases, and application domains.Create and maintain migration runbooks, technical documentation, and operational procedures.Knowledge / ExperienceStrong experience in Data Engineering, Data Migration, and Cloud Data Platforms.Hands‑on experience with AWS services including AWS Glue, Amazon Athena, Amazon Redshift, DynamoDB, S3, EFS, and FSx.Experience performing large‑scale application and database migration projects.Strong expertise in SQL development, query optimization, and database performance tuning.Experience with relational databases including Oracle, SQL Server, PostgreSQL, MySQL, Aurora, and MariaDB.Experience with NoSQL databases including DynamoDB, MongoDB, Cassandra, DocumentDB, or equivalent technologies.Experience working with file systems and storage technologies including EFS, FSx, NFS, SMB, and enterprise storage platforms.Strong understanding of data warehousing, data modeling, ETL/ELT processes, and integration frameworks.Experience with AWS Database Migration Service (DMS) and cloud migration methodologies.Proficiency in Python, Shell Scripting, SQL scripting, or other automation technologies.Experience using Git, CI/CD pipelines, and DevOps methodologies.Experience with data quality, governance, lineage, metadata management, and compliance practices.Experience troubleshooting distributed systems, databases, and cloud‑based data environments.Strong analytical and problem‑solving capabilities.Ability to work effectively in Agile delivery environments.Strong communication and collaboration skillsIf you are passionate about bringing innovation to the projects you work on and want to join a global company, then this is the place for you.Tata Technologies: Engineering a better world.
Data Engineer employer: Tata Technologies Ltd.
As an Application Architect at our company, you will thrive in a dynamic and innovative work culture that prioritises collaboration and professional growth. We offer competitive benefits, including flexible working arrangements and opportunities for continuous learning, all set within a vibrant location that fosters creativity and teamwork. Join us to make a meaningful impact on the mSuite product portfolio while advancing your career in a supportive environment.
