Experience: 5–9 years
Location: (Remote)
Job Summary
:We are looking for a skilled Data Enginee r 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
.
Key Responsibilitie
s:Design, develop, and optimize ETL/ELT pipelin es using Python, PySpark, and AWS Gl u
e.Implement data ingestion, transformation, and integrati on from diverse structured and unstructured source
s.Work extensively with Snowfla ke for data modeling, performance tuning, and query optimizatio
n.Automate workflows and data processing using AWS Lamb da and other AWS-native service
s.Ensure data quality, consistency, and securi ty 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 documentati on of data flows, processes, and best practice
s.
Required Skills & Qualificatio
ns:4–9 ye ars of proven experience as a Data Engin eer or similar ro
le.Strong programming skills in Pyt hon and hands-on experience with PySp a
rk.Expertise in AWS servi ces – Glue, Lambda, S3, CloudWatch, IAM, e
tc.Proficiency in Snowfl ake – data modeling, warehouse design, query optimizati
on.Solid understanding of ETL/ELT concepts, data warehousing, and big data process i
ng.Strong knowledge of SQL and performance tuni
ng.Experience with version control (G it), CI/CD pipelines, and deployment best practic
es.Knowledge of data governance, security, and complia n
ce.Excellent problem-solving, communication, and collaboration ski
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