Job Description

Role: Python Developer

Locations: Multiple

Mode: Hybrid

Type: Permanent

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We are looking for a highly motivated Data Analyst with strong expertise in AWS cloud services and Python to join our analytics team. The ideal candidate will be responsible for extracting, transforming, and analyzing data to generate actionable business insights. You will work closely with data engineers, business stakeholders, and product teams to support data-driven decision-making.

Responsibilities

Analyze and interpret complex datasets to identify trends, patterns, and insights. Design and implement data pipelines and workflows using AWS services such as S3, Glue, Lambda, Athena, Redshift, and CloudWatch. Write efficient and reusable Python scripts for data wrangling, automation, and analytics. Collaborate with business stakeholders to gather requirements and develop analytical solutions. Ensure data accuracy, consistency, and quality through regular validation and monitoring. Document processes, analysis findings, and data workflows for transparency and future reference.

Requirements

Bachelor's degree in computer science, Statistics, Mathematics, Engineering, or a related field. 4+ years of hands-on experience in data analysis or a related field. Strong proficiency in Python for data processing, analysis, and automation. Solid experience working with AWS cloud services, especially S3, Glue, Lambda, Redshift, and Athena. Proficiency in writing SQL queries for large datasets. Strong understanding of data structures, ETL pipelines, and data governance. Good communication and problem-solving skills

Preferred Skills

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Experience with Pandas, NumPy, Boto3, PySpark, or other Python libraries for data analysis. Familiarity with version control systems (Git) and CI/CD pipelines. Exposure to machine learning concepts or data science is a plus. Knowledge of data visualization tools like Tableau, Amazon QuickSight, or Power BI
Job Type: Permanent

Pay: ?3,000,000.00 - ?3,500,000.00 per year

Benefits:

Work from home
Schedule:

Day shift Monday to Friday
Experience:

Data Analysis : 4 years (Required) Python for data processing: 5 years (Required) SQL queries: 4 years (Required) ETL pipelines: 4 years (Required) AWS services: 3 years (Required)
Work Location: Remote