Job Title: Senior Data Engineer

Location: Remote

Experience: 5â8 Years

Employment Type: Full time

About the Role

Aptus Data Labs is looking for a talented and proactive Senior Data Engineer to help build the backbone of our enterprise data and AI initiatives. Youâll work on up-to-date data lake architectures and high-performance pipelines in AWS, enabling real-time insights and scalable analytics.

This role reports to the Head â Data Platform and AI Lead, offering a unique prospect to be part of a cross-functional team shaping the future of data-driven innovation.

Key Responsibilities

Data Engineering & Pipeline Development
Design and develop reliable, reusable ETL/ELT pipelines using AWS Glue, Python, and Spark.
Process structured and semi-structured data (e.g., JSON, Parquet, CSV) efficiently for analytics and AI workloads.
Build automation and orchestration workflows using Airflow or AWS Step Functions.

Data Lake Architecture & Integration
Implement AWS-native data lake/lakehouse architectures using S3, Redshift, Glue Catalog, and Lake Formation.




Consolidate data from APIs, on-prem systems, and third-party sources into a centralized platform.
Optimize data models and partitioning strategies for high-performance queries.

Security, IAM & Governance Support
Ensure secure data architecture practices across AWS components using encryption, access control, and policy enforcement.
Implement and manage AWS IAM roles and policies to control data access across services and users.
Collaborate with platform and security teams to maintain compliance and audit readiness (e.g., HIPAA, GxP).
Apply best practices in data security, privacy, and identity management in cloud environments.

DevOps & Observability
Automate deployment of data infrastructure using CI/CD pipelines (GitHub Actions, Jenkins, or AWS CodePipeline).
Create Docker-based containers and manage workloads using ECS or EKS.
Monitor pipeline health, failures, and performance using

📌 Sr Data Engineer Bengaluru
🏢 Aptus Data LAbs
📍 Bengaluru