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Software Engineer (Python, SQL, Azure/AWS) - Remote

Posted 2 days ago
Software Development
Full Time
India

Overview

Rockwell Automation is seeking a skilled Software Engineer to join their team, focusing on data engineering, ETL pipelines, and cloud services.

In Short

  • Build, deploy, and maintain scalable ETL pipelines.
  • Process and transform large datasets using Python and related libraries.
  • Integrate data from multiple sources into data lakes or warehouses.
  • Write and optimize advanced SQL queries.
  • Design database schemas and implement data partitioning.
  • Develop workflows using Docker and orchestrate with Kubernetes.
  • Leverage Azure or AWS for data storage and processing.
  • Set up CI/CD pipelines for automated deployment.
  • Monitor pipeline performance and troubleshoot issues.
  • Participate in agile workflows and collaborate with stakeholders.

Requirements

  • 2 to 5 years of experience in data engineering.
  • Advanced proficiency in Python, including libraries like Pandas.
  • Hands-on experience with Databricks or PySpark.
  • Expertise in SQL and query optimization.
  • Strong experience in Azure or AWS.

Benefits

  • Comprehensive mindfulness programs.
  • Volunteer Paid Time off after 6 months.
  • Company volunteer and donation matching program.
  • Employee Assistance Program.
  • Personalized wellbeing programs.

R.D

RA Dalian

Rockwell Automation is a global technology leader specializing in industrial automation and digital transformation, dedicated to enhancing the productivity, sustainability, and agility of manufacturers worldwide. With a workforce of over 28,000 employees, the company is committed to making a positive impact through innovative solutions that support essential industries such as food production, healthcare, and environmental sustainability. Headquartered in Milwaukee, Wisconsin, Rockwell Automation operates in more than 100 countries, fostering a diverse and inclusive workplace that encourages creativity and problem-solving. The company is focused on connecting human ingenuity with technological potential to create a more productive and sustainable future.

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