
51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
🏢 Enterprise
🤝 B2B
Artificial Intelligence • Enterprise • B2B
Evnek is an AI-driven enterprise services company that builds and deploys agentic AI platforms, generative AI and machine learning solutions, and cloud-native engineering for businesses. It provides autonomous intelligent agents, cloud services across AWS/Google Cloud/Azure, data engineering, DevOps, API/microservices development, and strategic consulting to help organizations automate workflows, accelerate time-to-value, and realize measurable ROI from AI adoption.
🕒 February 7
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51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
🏢 Enterprise
🤝 B2B
Artificial Intelligence • Enterprise • B2B
Evnek is an AI-driven enterprise services company that builds and deploys agentic AI platforms, generative AI and machine learning solutions, and cloud-native engineering for businesses. It provides autonomous intelligent agents, cloud services across AWS/Google Cloud/Azure, data engineering, DevOps, API/microservices development, and strategic consulting to help organizations automate workflows, accelerate time-to-value, and realize measurable ROI from AI adoption.
• Develop, maintain, and optimize ETL/ELT pipelines for data integration and processing. • Build data processing applications using Python and PySpark. • Ingest data from multiple sources, including APIs, databases, flat files, and streaming platforms. • Write efficient, optimized, and scalable SQL queries for data transformation and reporting. • Monitor, troubleshoot, and enhance the performance of existing data pipelines. • Perform data quality validation and support data governance initiatives, including data lineage. • Collaborate with cross-functional teams to understand business requirements and deliver data solutions.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. • 2–4 years of hands-on experience in Data Engineering. • Experience working with cloud platforms, preferably Microsoft Azure. • Strong understanding of data integration, transformation, and pipeline development. • Excellent SQL and analytical problem-solving skills. • Good communication and collaboration skills. • Ability to work independently as well as in a team-oriented Agile environment.
• Immediate Joiner • Working with Azure Data Factory • Working with Azure Data Lake • Working with Azure Databricks
Apply Now🕒 January 19
Data Engineer responsible for developing ETL pipelines and optimizing Power BI reports. Joining Particle41 to ensure reliable data and analytics for clients in a collaborative environment.
ETL
Flask
Linux
MySQL
Pandas
Postgres
PySpark
Python
Spark
SQL
🕒 January 13
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AWS
Azure
Cloud
ETL
Flask
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MySQL
NoSQL
Postgres
PySpark
Python
Redis
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Spark
SQL
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Google Cloud Platform
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MySQL
Postgres
Python
RDBMS
🕒 November 14, 2025
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