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Python Developer

SRM Technologies

Role overview

Qualifications

  • 5–6 Years of experience in Python programming and data engineering
  • Good exposure to Databricks, including notebooks, Spark, and data processing
  • Experience with AWS services such as S3, Glue, Lambda, and Redshift
  • Knowledge of PySpark, SQL, ETL/ELT pipelines, and data transformation

Responsibilities

  • Developing, optimizing, and troubleshooting data pipelines
  • Understanding of data warehousing concepts and data integration
  • Exhibiting good analytical, problem-solving, and communication skills

Key facts

Hard skills

Other skills

  • Analytical Skills
  • Problem Solving
  • Communication

About the company

SRM Technologies logo

SRM Technologies

IT Services & IT Consulting

SRM Technologies is a global IT services company specialising in automotive technologies, digital transformation and product engineering services. We provide technology consulting, platform development, data analytics, artificial intelligence, cloud enablement, digital infrastructure, quality assurance, embedded software and design to manufacturing product solutions to various industries and enterprises across the USA, Japan and India. At the heart of our organization are passionate employees who embody our core belief - 'ideas@work.' We firmly believe that ideas and innovation truly matter only when they create a meaningful impact on our customers' businesses and the lives of their end customers. Therefore, we prioritize the practical application of these ideas and their transformative impact through our talented and ever-growing workforce. 𝘚𝘙𝘔 𝘛𝘦𝘤𝘩 𝘪𝘴 𝘢 𝘱𝘳𝘰𝘶𝘥 𝘮𝘦𝘮𝘣𝘦𝘳 𝘰𝘧 𝘵𝘩𝘦 𝘚𝘙𝘔 𝘎𝘳𝘰𝘶𝘱, 𝘢 𝘮𝘶𝘭𝘵𝘪𝘯𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘤𝘰𝘯𝘨𝘭𝘰𝘮𝘦𝘳𝘢𝘵𝘦 𝘸𝘪𝘵𝘩 𝘢 𝘳𝘪𝘤𝘩 𝘩𝘪𝘴𝘵𝘰𝘳𝘺 𝘴𝘱𝘢𝘯𝘯𝘪𝘯𝘨 𝘰𝘷𝘦𝘳 𝘧𝘰𝘶𝘳 𝘥𝘦𝘤𝘢𝘥𝘦𝘴. 𝘛𝘩𝘦 𝘚𝘙𝘔 𝘎𝘳𝘰𝘶𝘱 𝘰𝘱𝘦𝘳𝘢𝘵𝘦𝘴 𝘪𝘯 𝘥𝘪𝘷𝘦𝘳𝘴𝘦 𝘴𝘦𝘤𝘵𝘰𝘳𝘴, 𝘪𝘯𝘤𝘭𝘶𝘥𝘪𝘯𝘨 𝘌𝘥𝘶𝘤𝘢𝘵𝘪𝘰𝘯, 𝘛𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘺, 𝘏𝘦𝘢𝘭𝘵𝘩𝘤𝘢𝘳𝘦, 𝘢𝘯𝘥 𝘔𝘦𝘥𝘪𝘢.

Company details

Company typeLarge
IndustryIT Services & IT Consulting
Company size501 - 1000

Links

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Job description

This is a remote position.

Job Title: Databricks / AWS / Python Developer

Experience: 5–6 Years

Job Description:

  • Strong hands-on experience in Python programming and data engineering.
  • Good exposure to Databricks, including notebooks, Spark, and data processing.
  • Experience with AWS services such as S3, Glue, Lambda, and Redshift.
  • Knowledge of PySpark, SQL, ETL/ELT pipelines, and data transformation.
  • Experience in developing, optimizing, and troubleshooting data pipelines.
  • Understanding of data warehousing concepts and data integration.
  • Good analytical, problem-solving, and communication skills.

Preferred Skills:

  • Experience with Databricks on AWS.
  • Knowledge of Delta Lake and data pipeline orchestration.
Exposure to Git and CI/CD practices.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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