Junior AWS Data Engineer

Description :

Role : Junior AWS Data Engineer

Location : Vikroli, Mumbai (The candidate should be staying in Mumbai ((Mira Road to dadar Ulhasnagar to dadar Sion to khaleshwar)

Work mode : 7 days/month WFO

Experience : 2+ years

Notice period : Immediate to 30 days

Schedule : 7 days a month, 10 AM to 7 PM UK time

Role Overview :

As a Junior AWS Data Engineer, you will play a crucial role in building and maintaining our data infrastructure on the AWS cloud. You will work closely with senior data engineers, data scientists, and business analysts to design, develop, and deploy data pipelines that ingest, transform, and store large volumes of data. Your work will directly impact the ability of our clients to gain actionable insights from their data, improve their business processes, and enhance their customer experiences.

Key Responsibilities :

- Design, build, and maintain data ingestion and transformation pipelines using AWS Glue, Python, and SQL.

- Develop, optimize, and maintain datasets and queries across AWS Athena, Redshift, and S3-based data lake zones.

- Work with multi-disciplinary teams to deliver high-quality data solutions aligned with architectural standards.

- Participate in data modelling and implement data quality, validation, and monitoring processes.

- Support the full lifecycle of data solutions from initial design to production deployment.

- Perform triage, root-cause analysis, and resolution of data-related issues.

- Write clean, maintainable Python code and SQL queries following departmental standards.

- Champion best practices in data engineering, including automation, version control, documentation, and testing.

REQUIREMENTS :

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

- Be involved in the application design process, ensuring each system component is well written, performant, and ensuring scalability.

- Be involved in the estimation of work.

- Write code and unit tests adhering to standards and specifications and support others in this.

- Perform triage of defects and track them through to technical resolution.

- Undertake work as required to improve the wider estate.

- Work with colleagues to create solutions that meet requirements.

- Promote solutions and approaches that are in line with agreed strategies.

- Work with Architects to ensure that designs and solutions receive Architectural approval and follow governance.

- Ensure appropriate processes are followed, such as the agreed SDLC and adhere to coding and design standards.

- Be proactive in your approach to the identification and management of risk.

Experience :

- Proven experience delivering data engineering or cloud-based data solutions.

- Hands-on experience with AWS data lake technologies : AWS Glue, Redshift, Athena, S3 data lake patterns (bronze/silver/gold)

- Experience with CI/CD

Skills - Must Have :

- Strong Python programming for data engineering.

- Strong SQL skills (optimised query writing, data modelling, analytical SQL).

- Knowledge of data warehousing concepts and ETL/ELT patterns.

- Version control.

- Understanding of data reliability practices (logging, monitoring, alerting).

Skills - Nice to have :

- Terraform or other IaC tools.

- PowerBI

- Exposure to cloud architecture and design patterns.

- Experience working in asset management or other regulated financial industry.

Education :