Job description

We are seeking a highly skilled AWS Data Engineer to join our team on a contract basis. The successful candidate will design, develop, and maintain scalable data pipelines and platforms, enabling advanced analytics and AI-driven solutions. This is an exciting opportunity to work on cutting-edge projects in a fully remote environment.

Key Responsibilities

Design, develop, and maintain ETL/ELT pipelines for large-scale structured and unstructured data.

Build and optimize data solutions using AWS services (S3, Lambda, Glue, Step Functions, EMR).

Implement scalable data models and warehouses in Postgres and Snowflake .

Develop distributed data workflows using Databricks and PySpark APIs .

Write clean, reusable, and efficient

Python code for data transformation/orchestration.

Automate infrastructure provisioning and deployments using Terraform (IaC) .

Collaborate with data scientists, ML engineers, and stakeholders to deliver high-quality datasets.

Monitor, troubleshoot, and optimize pipelines for performance and reliability .

Stay updated with emerging trends in data engineering, cloud computing, and AI/LLMs .

Required Skills & Experience

Strong programming experience in Python with ETL pipeline development.

Advanced SQL skills; hands-on with Postgres and Snowflake .

Proven experience with AWS data/compute services (S3, Lambda, Glue, EMR, Step Functions, CloudWatch).

Proficiency in PySpark and Databricks for distributed data processing.

Solid experience with Terraform for infrastructure automation.

Strong understanding of cloud- architectures and serverless computing .

Excellent problem-solving, debugging, and performance optimization skills.

Effective communication and collaboration in fast-paced, agile teams.

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Seniority Level

Mid-Senior level

Industry

Oil and Gas

Oil, Gas, and Mining

IT Services and IT Consulting

Employment Type

Contract

Job Functions

Information Technology

Skills

Electronic Medical Record (EMR)

Terraform

Amazon Web Services

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