Bachelor’s degree in computer science or related fields with 3-5 years’ experience as a Data Engineer
Strong experience in building, maintaining, and optimizing ETL/ELT Cloud-agnostics data pipelines using Python, Pandas, PySpark
Advanced SQL/ KQL query development and optimization across Oracle, MSSQL, and MySQL databases
Strong understanding of cloud agnostic data engineering patterns
Requirements:
Develop/maintain scalable and reliable data pipelines for industrial data
Integrate data from different sources and engineer workflows for efficient ETL/ELT processing
Collaborate with architects, data engineers, data scientists, analysts, and business stakeholders
Build and maintain data infrastructure in compliance with data governance and security best practices
Job description
Overview:
We are seeking an experienced Data Engineer to join our AI & Digital Team. This individual will design, build, and optimize data pipelines and infrastructure, enabling advanced analytics, process automation, and data-driven decision-making. The Data Engineer will work closely with data scientists, and IT teams to ensure data reliability and actionable insights across the data lifecycle. Key Responsibilities
Develop/maintain scalable and reliable data pipelines for industrial data (like real-time streaming, time series, IoT, sensors, MES, ERP systems data)
Integrate data from different sources (databases, clouds or on-premises) and Engineer workflows for efficient ETL/ELT processing and data validation.
Collaborate with architects, data engineers, data scientists, analysts, and business stakeholders to define and deliver solutions.
Build and maintain data infrastructure in compliance with data governance and security best practices
Requirements
Bachelor’s degree in computer science or related fields with 3-5 years’ experience as a Data Engineer.
Strong experience in building, maintaining, and optimizing ETL/ELT Cloud-agnostics data pipelines using Python, Pandas, PySpark and orchestrating workflows like Apache Airflow and Kedro framework.
Advanced SQL/ KQL query development and optimization across Oracle, MSSQL, and MySQL databases (hosted on-premises or via PaaS offerings).
Strong understanding of cloud agnostic data engineering patterns, including batch vs. streaming ingestion, schema evolution, data partitioning, and cost optimized storage design.
Experience working with cloud object storage across providers (e.g., ADLS, S3, GCS) and designing reliable, scalable data lake or Lakehouse solutions.
Developing and consuming RESTful API (Fast API )s for data services and integration.
Proficiency in Linux shell scripting for automation.
Experience with DevOps practices, including CI/CD for data pipelines and use of tools such as Git, Docker and deployment.
Strong troubleshooting, process automation, and root-cause analysis skills
Preferred Skills:
Data Ingestion Pipeline: Python, PySpark, Airflow, Kedro, Linux shell scripting
API Development: Flask, Fast API, RESTful design
Data Storage & Querying: SQL (Oracle, MSSQL, MySQL), KQL
Cloud Integration: Multi-cloud platforms (OCI, Clienture, GCP); cross-cloud data sharing/integration using portable Spark platforms (e.g., Databricks)
Platform: Databricks, C3.AI
Real-Time Data Streaming: Kafka, Clienture Event Hub, EMQX
Collaboration: Wiki, Clienture DevOps Boards, MS Office 365
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring. #LI-AS132
