Data Engineer

Experience: 5–9 years

Location: [Remote]

Job Summary

:We are looking for a skilled Data Engineer with strong expertise in Python, PySpark, AWS services (Glue, Lambda), and Snowflake. The ideal candidate will design, build, and maintain scalable data pipelines, ensure efficient data integration, and enable advanced analytics and reporting across the organization

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Key Responsibilitie

s:Design, develop, and optimize ETL/ELT pipelines using Python, PySpark, and AWS Glu

e.Implement data ingestion, transformation, and integration from diverse structured and unstructured source

s.Work extensively with Snowflake for data modeling, performance tuning, and query optimizatio

n.Automate workflows and data processing using AWS Lambda and other AWS-native service

s.Ensure data quality, consistency, and security across data platform

s.Collaborate with data scientists, analysts, and business teams to deliver scalable data solution

s.Monitor, troubleshoot, and improve the performance of data pipeline

s.Maintain proper documentation of data flows, processes, and best practice

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Required Skills & Qualificatio

ns:4–9 years of proven experience as a Data Engineer or similar ro

le.Strong programming skills in Python and hands-on experience with PySpa

rk.Expertise in AWS services – Glue, Lambda, S3, CloudWatch, IAM, e

tc.Proficiency in Snowflake – data modeling, warehouse design, query optimizati

on.Solid understanding of ETL/ELT concepts, data warehousing, and big data processi

ng.Strong knowledge of SQL and performance tuni

ng.Experience with version control (Git), CI/CD pipelines, and deployment best practic

es.Knowledge of data governance, security, and complian

ce.Excellent problem-solving, communication, and collaboration ski