Python Developer

Job not on LinkedIn

🔥 25 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SRM Technologies

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1998

📦 Logistics

💼 Consulting

🏭 Manufacturing

Logistics • Consulting • Manufacturing

SRM Technologies is a leading provider of Product Engineering, Automotive Solutions, and Digital Transformation services. With over 25 years of experience, the company specializes in mobility solutions, cloud technologies, data analytics, and artificial intelligence to help enterprises enhance their operational efficiency and innovate their product offerings. SRM Tech focuses on diverse industries such as automotive, healthcare, consumer and retail, telecommunications, and education, leveraging technology to drive business success and agility.

📋 Description

• Develop using Python programming and data engineering practices • Work with Databricks notebooks, Spark, and data processing • Use AWS services including S3, Glue, Lambda, and Redshift • Develop, optimize, and troubleshoot data pipelines • Build and manage ETL/ELT pipelines and data transformations • Apply data warehousing and data integration concepts

🎯 Requirements

• 5–6 years of experience • 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 developing, optimizing, and troubleshooting data pipelines • Understanding of data warehousing concepts and data integration • Good analytical, problem-solving, and communication skills • Experience with Databricks on AWS (preferred) • Knowledge of Delta Lake and data pipeline orchestration (preferred) • Exposure to Git and CI/CD practices (preferred)

🏖️ Benefits

• Remote work arrangement