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.
- 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.
Skills Required
- Bachelor’s degree in Computer Science, Engineering, or equivalent
- 5-8 years of experience in data engineering, preferably in AWS cloud environments
- Proficiency in Python and SQL
- Proficiency with AWS Glue, Redshift, S3, IAM, and Lake Formation
- Experience managing IAM roles, security policies, and cloud-based data access controls
- Hands-on experience with Airflow or AWS Step Functions
- Exposure to CI/CD practices and infrastructure automation
- Strong interpersonal and communication skills
- Proficiency in Databricks, Unity Catalog, and Spark-based distributed data processing
- Background in Pharma, Life Sciences, or regulated environments such as GxP or HIPAA
- Experience with EMR, Snowflake, or hybrid-cloud data platforms
- Experience with Power BI or QuickSight
- Knowledge of Boomi, Kafka, or real-time streaming frameworks
What We Do
Aptus Data Labs is a global data engineering and AI consulting company helping enterprises modernize their data landscapes, accelerate AI adoption, and build scalable digital and product capabilities. Its expertise spans artificial intelligence, generative AI, data engineering, cloud solutions, and industry platforms, supporting organizations in pharmaceuticals, financial services, manufacturing, supply chain, retail, consumer packaged goods, and technology.
