AWS Data Engineer

ITC Infotech; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

ITC Infotech in Bengaluru is seeking a Senior Data Engineer to lead scalable data engineering solutions for asset management analytics, risk reporting, and regulatory compliance. You will drive end-to-end ETL/ELT pipelines using AWS services, ensuring performance and reliability while mentoring a team of engineers.

You will collaborate with stakeholders and clients to translate requirements into robust data architectures, governance standards, and secure data practices in a fast-paced

Qualifications

• Proficient in SQL with complex query optimization and data modeling.
• Hands-on experience with AWS data services (Athena, Lambda, Step Functions, EMR, Glue, QuickSight).
• Experience building and managing ETL/ELT pipelines and large-scale data processing systems.
• Strong understanding of data warehousing, data lakes and distributed processing.

Responsibilities

• Lead design and implementation of scalable data engineering solutions for asset management analytics, risk reporting, and compliance.
• Drive end-to-end data pipeline development using AWS services ensuring performance, scalability, and reliability.
• Collaborate with business stakeholders, product owners, and clients to translate requirements into technical solutions.
• Mentor and manage a team of data engineers, ensuring code quality and timely delivery.
• Oversee data integration, transformations, and orchestration across multiple sources.

Skills

SQL

AWS data services

ETL/ELT pipelines

Data modeling

Data warehousing

Databricks

Leadership

Tools

Databricks

AWS

Job description

Key Responsibilities

Lead the design and implementation of scalable data engineering solutions to support asset management use cases such as portfolio analytics, risk reporting, and regulatory compliance. Drive end-to-end data pipeline development using AWS services ensuring performance, scalability, and reliability. Collaborate closely with business stakeholders, product owners, and clients to gather requirements and translate them into technical solutions. Manage and mentor a team of data engineers, ensuring best practices, code quality, and timely delivery. Oversee data integration, transformation, and orchestration processes across multiple data sources. Ensure data governance, security, and compliance standards are adhered to. Provide technical leadership in architecture discussions, solution design, and decision‑making processes. Act as the primary point of contact for customer interactions on technical deliverables and escalations.

Required Technical Skills

Must have strong proficiency in SQL with experience in complex query optimization and data modeling. Hands‑on experience with AWS data services, including:

• AWS Athena
• AWS Lambda
• AWS Step Functions
• AWS EMR
• AWS Glue
• Amazon QuickSight
• Databricks

Experience in building and managing ETL/ELT pipelines and large-scale data processing systems. Strong understanding of data warehousing concepts, data lakes, and distributed processing.

Leadership

Stakeholder management: Proven experience in team management, including mentoring, task allocation, and performance management. Strong customer management skills, with experience in handling client communication, expectations, and escalations. Ability to work in a fast‑paced environment and manage multiple priorities effectively.

Preferred Qualifications

Experience in the asset management financial services domain. Understanding of financial data such as portfolios, securities, pricing, and risk metrics. Familiarity with Agile delivery models and tools like Jira and Confluence. Certifications in AWS or data engineering technologies are a plus.

Soft Skills

Excellent problem‑solving and analytical skills. Strong communication and interpersonal skills. Ability to translate business requirements into technical solutions. Proactive and ownership‑driven mindset.