Associate Data Engineer

Remotedxb; Dubai; On-site; AED 180,000 - 300,000; Full time

Job summary

Remotedxb in Dubai is seeking a data engineering analyst to support data pipelines, validate data with SQL, and assist with KTLO tasks. You will monitor pipeline health, run diagnostics, and document findings.

The role emphasizes collaboration with senior engineers, debugging data pipelines, applying data engineering best practices, and maintaining thorough documentation, including version control with Git and understanding ETL/ELT concepts.

Qualifications

• Bachelor's degree in CS/Engineering/IS or related field.
• Strong SQL proficiency for data exploration and validation.
• Proficiency in Python or another programming language.
• Basic understanding of data modeling, ETL/ELT concepts, and pipeline architecture.
• Familiarity with version control (Git).
• Strong communication and documentation skills.
• Analytical mindset and strong problem-solving skills.
• Attention to detail and commitment to data accuracy.

Responsibilities

• Handle support tickets and operational issues reported by internal teams and external partners.
• Perform KTLO tasks including monitoring pipeline health and responding to alerts.
• Conduct data source discovery, profiling, and documentation of data structures.
• Assist with data validation and testing using SQL queries.
• Support data quality initiatives by running diagnostics and documenting findings.
• Help maintain and improve documentation for existing data systems and pipelines.
• Assist senior engineers with debugging data pipeline issues and tracing transformations.
• Conduct quality assurance activities and review data outputs.
• Perform exploratory data analysis to understand data patterns.
• Learn and apply data engineering best practices including Git and code reviews.

Skills

SQL proficiency

Python

Git

Data modeling

Communication

Documentation

Analytical mindset

Attention to detail

Education

Bachelor’s degree in CS/Engineering/IS

Tools

dbt

Airflow

Databricks

Snowflake

Apache Spark

Job description

Responsibilities

• Handle support tickets and operational issues reported by internal teams and external partners
• Perform KTLO tasks including monitoring pipeline health and responding to alerts
• Conduct data source discovery, profiling, and documentation of data structures
• Assist with data validation and testing using SQL queries
• Support data quality initiatives by running diagnostics and documenting findings
• Help maintain and improve documentation for existing data systems and pipelines
• Assist senior engineers with debugging data pipeline issues and tracing transformations
• Conduct quality assurance activities and review data outputs
• Perform exploratory data analysis to understand data patterns
• Learn and apply data engineering best practices including Git and code reviews

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
• Strong SQL proficiency for data exploration and validation
• Proficiency in Python or another programming language
• Basic understanding of data modeling, ETL/ELT concepts, and pipeline architecture
• Familiarity with version control (Git)
• Strong communication and documentation skills
• Analytical mindset and strong problem-solving skills
• Attention to detail and commitment to data accuracy

Preferred Qualifications

• Experience with healthcare data (FHIR, HL7, CCD) or claims data
• Familiarity with cloud platforms like AWS, Databricks, or Snowflake
• Experience with dbt or other transformation frameworks
• Knowledge of orchestration tools like Airflow or Databricks Workflows
• Experience with Apache Spark or distributed computing
• Background in healthcare, pharmaceutical, or regulated industries