Senior Data Engineer

3 weeks ago

India Aptus Data Labs Full time

Job Title: Senior Data Engineer

Location: Remote

Experience: 4+

Employment Type: Full-Time

Notice- Looking for immediate joiners or who can join within 15-20 days.

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.
  • 4+ 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.

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