Data Engineer - Python (3-5 yrs)

Role : Data Engineer - Python

Location : Pune, Delhi

Exp : 2-4yrs

NOTE : Immediate joiners

Backend : Python, Pyspark, SQL, AWS (ECS/EKS/EC2/Redshift/EMR/Glue/S3/IAM), airflow, kubernetes

We are seeking a Senior Data Engineer to lead the creation of a robust data ecosystem by transforming raw data from various sources into an integrated data layer, utilizing Airflow/python/pyspark/sql based pipeline for for data preparation and processing, which will be loaded into redshift/snowflake for business intelligence reporting and dashboarding.

This role requires a hands-on approach to manage the entire data pipeline, from ingestion to visualization, ensuring high-quality and accurate data outputs to support business decision-making.

Key Requirements :

- 2+ years of experience in data engineering, data analytics, or business intelligence roles.

- Strong expertise in python, pyspark, SQL, AWS (ECS/EKS/EC2/Redshift/EMR/Glue/S3/IAM), airflow, kubernetes

- Understanding of ETL processes and data warehouse concepts.

- Strong ability to identify data anomalies, design data validation rules, and perform data cleanup to

ensure high-quality data.

- Experience in pharma or life sciences data : Familiarity with pharmaceutical datasets, including product, patient, or healthcare provider data, is a plus.

- Experience in supply chain and manufacturing data is a plus

- Project management and task planning experience, ensuring smooth execution of deliverables and timelines.

- Strong communication and interpersonal skills to collaborate with both technical and non-technical teams.