Data Engineer (Remote)

About NeuroByte:

NeuroByte transforms organizations through comprehensive data and AI solutions that deliver measurable business outcomes. From strategy and architecture to dashboards, AI models, and ongoing support, we provide end-to-end services across the entire data lifecycle.

Job Description:

We're seeking an experienced Data Engineer to join our remote team. As a Data Engineer at NeuroByte, you'll design data infrastructure and build pipelines that transform raw data into valuable business insights for our clients across multiple industries.

Responsibilities:

• Design scalable data infrastructure and pipeline architectures

• Create robust ETL/ELT pipelines for diverse data sources

• Implement data cleaning and validation routines

• Design and implement data quality frameworks

• Configure and optimize cloud-based data solutions

• Integrate data from multiple sources into cohesive architectures

• Collaborate with Data Scientists and BI Developers to enable analytics

• Ensure data security and compliance with regulations

Required Skills:

• SQL and database expertise (SQL/NoSQL)

• Python, Scala, or Java programming

• Experience with ETL/ELT tools (Airflow, dbt, etc.)

• Data modeling and schema design

• Cloud platform knowledge (AWS, Azure, or GCP)

• Version control systems (Git)

• Understanding of data governance principles

Preferred Experience:

• 3+ years of professional experience in data engineering

• Background in one or more of these industries: Healthcare, Telecommunications, Retail & E-commerce, Manufacturing, Utilities, Education, IoT & Connected Devices, Energy & Sustainability, or Logistics & Supply Chain

• Experience with agile development methodologies

• Knowledge of big data technologies (Spark, Hadoop)

Work Arrangement:

• 100% remote position

• Contract-based engagement

• Minimum 3 hours overlap with Dubai time zone (GMT+4)

• Flexible working hours

What We Offer:

• Diverse, challenging projects across multiple industries

• Collaborative team environment with technical experts

• Competitive compensation based on expertise

• Professional development opportunities

• Work-life balance with remote flexibility