Senior Data Engineering - Chryselys

Proof-of-Skill; Hyderabad; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Proof-of-Skill is seeking an experienced Data Engineer in Hyderabad to design, build and maintain ETL/ELT pipelines and data warehouses. You will integrate data from multiple sources to deliver holistic insights and support quality data operations in the pharma domain.

The role requires 5-7 years of relevant experience, strong Python/PySpark/SQL skills, and hands-on knowledge of Databricks, Snowflake, and cloud services (Azure/AWS).

Qualifications

• Engineering/MCA degree required; advanced degree preferred.
• 5-7 years of Data Engineer experience.
• Pharma syndicated data experience preferred (IQVIA, Veeva, Symphony).
• Excellent written and verbal communication skills.
• Ability to work collaboratively and mentor juniors.

Responsibilities

• Majorly responsible for designing, building and maintaining ETL/ELT pipelines.
• Integration of data from multiple sources or vendors to provide holistic insights from data.
• Build and manage Data warehouse solutions, designing data models, creating ETL processes, implementing data quality mechanisms.
• Performs EDA to troubleshoot data related issues and assist in resolution.
• Client interaction experience required.
• Mentoring juniors and providing required guidance.

Skills

Python

PySpark

SQL

Dataiku

Data modelling

ETL

Pharma data ops

Communication

Team collaboration

Education

Bachelor or Master Engineering/MCA or equivalent degree

Tools

Databricks

Redshift

Snowflake

Dataiku

ADF

Azure

AWS

S3

Glue

Lambda

CloudWatch

Athena

SFDC (Salesforce)

Job description

• Majorly responsible for designing, building and maintaining ETL/ELT pipelines.
• Integration of data from multiple sources or vendors to provide holistic insights from data.
• Build and manage Data warehouse solutions, designing data models, creating ETL processes, implementing data quality mechanisms.
• Performs EDA (exploratory data analysis) required to troubleshoot data related issues and assist in resolution.
• Client interaction experience required.
• Mentoring juniors and providing required guidance.

Roles & Responsibilities:

• Majorly responsible for designing, building and maintaining ETL/ELT pipelines.
• Integration of data from multiple sources or vendors to provide holistic insights from data.
• Build and manage Data warehouse solutions, designing data models, creating ETL processes, implementing data quality mechanisms.
• Performs EDA (exploratory data analysis) required to troubleshoot data related issues and assist in resolution.
• Client interaction experience required.
• Mentoring juniors and providing required guidance.

Required Technical Skills:

• Extensive hands-on experience in Python, Pyspark, SQL, Dataiku.
• Strong experience in Data Warehouse, ETL, Data Modelling, building ETL Pipelines, Snowflake database.
• Working knowledge in Databricks, Redshift, ADF etc.
• Hands‑on experience in cloud services like Azure, AWS - S3, Glue, Lambda, CloudWatch, Athena.
• Sound knowledge in end‑to‑end Data management, Data ops, quality and data governance.
• Familiar with SFDC, Waterfall/Agile methodology.
• Strong domain knowledge in Pharma domain/life sciences commercial data operations.

Qualifications:

• Bachelor or Master Engineering/MCA or equivalent degree.
• 5-7 years of relevant industry experience as Data Engineer.
• Experience working on Pharma syndicated data such as IQVIA, Veeva, Symphony; Claims, CRM, Sales etc.
• High motivation, good work ethic, maturity, self-organized and personal initiative.
• Ability to work collaboratively and providing support to the team.
• Excellent written and verbal communication skills.
• Strong analytical and problem-solving skills.