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SRM Technologies

Python Developer

SRM Technologies

. Develop using Python programming and data engineering practices .

Posted 10/20/2026full-timeRemote • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in Python programming and data engineering, with extensive experience in developing and optimizing ETL/ELT pipelines using AWS services such as S3, Glue, Lambda, and Redshift. Strong understanding of data warehousing concepts and data integration practices, complemented by analytical and problem-solving skills.

Highest-signal resume keywords
Python ProgrammingData EngineeringAWS ServicesETL/ELT PipelinesDatabricks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Python ProgrammingData EngineeringETL/ELT PipelinesSQLData TransformationData WarehousingData IntegrationPySparkData Pipeline OptimizationData Pipeline Troubleshooting
Soft Skills
Analytical SkillsProblem-SolvingCommunication Skills
Tools & Technologies
DatabricksSparkAWS S3AWS GlueAWS LambdaAWS RedshiftDelta LakeGitCI/CD Practices

Tech Stack

Tools & technologies
Amazon RedshiftAWSETLPySparkPythonSparkSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • Remote work arrangement