Data Engineer

abra R&D Solutions (formerly Devalore)

. Design, build, and maintain scalable Data Pipelines and Data Platforms .

Posted 10/5/2026full-timeIsraelMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable Data Pipelines and Data Platforms, with strong proficiency in Python, SQL, and cloud services such as Azure, AWS, or GCP. Capable of integrating AI technologies and developing ETL/ELT processes to deliver comprehensive data solutions.

Highest-signal resume keywords

PythonSQLETL/ELT ProcessesAzureAI Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData Platform MaintenanceData ModelingData WarehousingLakehouse ArchitectureAPI IntegrationCloud-Based Data SolutionsAI AgentsRAG PipelinesLLM-Based Applications

Soft Skills

Problem-SolvingCollaboration

Tools & Technologies

AirflowData FactoryGlueDbtDockerOpenAIAzure OpenAIClaudeBedrockVertex AI

Industry Keywords

Data EngineeringData IntegrationCloud ServicesGenerative AIBig Data

Tech Stack

Tools & technologies

AirflowAWSAzureBigQueryCloudDockerETLGoogle Cloud PlatformPySparkPythonSparkSQL

About the role

Key responsibilities & impact

Design, build, and maintain scalable Data Pipelines and Data Platforms
Develop ETL/ELT processes and cloud-based data solutions
Work with structured and unstructured data from multiple sources
Build AI-powered solutions including AI Agents, RAG pipelines, and LLM-based applications
Integrate AI and Data solutions with enterprise systems using APIs and cloud services
Develop data models, data warehouses, and lakehouse architectures
Collaborate with Data Scientists, BI teams, and business stakeholders
Monitor, optimize, and troubleshoot production environments

Requirements

What you’ll need

3+ years of experience as a Data Engineer, Data Developer, or similar role
Strong hands-on experience with Python and SQL
Experience building ETL/ELT pipelines and data integration processes
Experience with Azure, AWS, or GCP
Experience with Airflow, Data Factory, Glue, dbt, or similar tools
Experience working with APIs, Docker, and cloud-native services
Hands-on experience with AI technologies such as LLMs, AI Agents, RAG, and Generative AI solutions
Experience with OpenAI, Azure OpenAI, Claude, Bedrock, Vertex AI, or similar platforms
Experience with Databricks, Spark, PySpark, Snowflake, or BigQuery – Advantage
Strong problem-solving skills and ability to deliver end-to-end solutions