Aptus Data Labs | Full time

Sr Data Engineer-AWS

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Job Information

• Number of Positions 1

• Date Opened 06/20/2025

• Job Type Full time

• Industry IT Services

• Work Experience 5-8 years

• Last Activity Time 01/08/2026 13:53

• City bangalore

• State/Province Karnataka

• Country India

• Zip/Postal Code 560002

Job Description

Job Title: Senior Data Engineer

Location: Remote

Experience: 5–8 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. You’ll work on modern data lake
architectures and high-performance pipelines in AWS, enabling real-time
insights and scalable analytics.

This role reports to the Head – Data Platform and AI
Lead, offering a unique opportunity 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 CloudWatch and custom
logs.

Collaboration & Communication

• Partner
with the Data Platform Lead and AI Lead to align engineering efforts with
AI product goals.

• Engage
with analysts, data scientists, and business teams to gather requirements
and deliver data assets.

• Contribute
to documentation, code reviews, and architectural discussions with clarity
and confidence.

Required Qualifications

• Bachelor’s
degree in Computer Science, Engineering, or equivalent.

• 5–8
years of experience in data engineering, preferably in AWS cloud
environments.

• Proficient
in Python, SQL, and AWS services: Glue, Redshift, S3, IAM, Lake Formation.

• Experience
managing IAM roles, security policies, and cloud-based data access
controls.

• Hands-on
experience with orchestration tools like Airflow or AWS Step Functions.

• Exposure
to CI/CD practices and infrastructure automation.

• Strong
interpersonal and communication skills—able to convey technical ideas
clearly.

Preferred Additional Skills

• Proficiency
in Databricks, Unity Catalog, and Spark-based distributed
data processing.

• Background
in Pharma, Life Sciences, or other regulated environments (GxP, HIPAA).

• Experience
with EMR, Snowflake, or hybrid-cloud data platforms.

• Experience
with BI/reporting tools such as Power BI or QuickSight.

• Knowledge
of integration tools (Boomi, Kafka) or real-time streaming frameworks.

Ready to build data solutions that fuel AI innovation?

Join Aptus Data Labs and play a key role in transforming
raw data into enterprise intelligence.