Back
Generalist data engineer role in metro with broad tech stack attracts strong applicant competition.
Requires pharma domain experience, making industry background strongly important.
Explicit 1-3 years requirement plus mandatory data engineering and cloud stack increases filtering strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Build, maintain and optimize ETL/ELT pipelines for pharma data sources to enable comprehensive data insights.
Develop and manage data solutions, including data models and ETL processes, ensuring data accuracy and quality through exploratory data analysis and troubleshooting.
Document processes and apply best practices to improve operational efficiency in data engineering workflows.
1-3 years of experience as a Data Engineer with relevant industry exposure, preferably in Pharma domain.
Proficient in SQL, Python, Pyspark, and AWS services (S3, Glue, Lambda, CloudWatch, Athena).
Bachelor’s or Master’s degree in Engineering, MCA or equivalent.
Location preference: Hyderabad, India.
Experienced in handling pharma data engineering tasks including data modeling, data warehouse, and data governance.
Familiarity with cloud-native data platforms and tools such as Dataiku and Snowflake is advantageous.
Capable of proactively documenting and implementing data quality and operational best practices within agile or waterfall methodologies.