Associate - Data Engineering (Pharma)

Chryselys; Hyderabad; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Chryselys in Hyderabad is seeking a Data Engineer responsible for building, maintaining and optimizing ETL/ELT pipelines, data solutions and data models to deliver holistic insights from pharma data.

You will develop and optimize ETL processes to ingest, transform and integrate data from diverse sources, perform EDA, troubleshoot data quality issues and document best practices. The role requires hands-on experience with SQL, Python, PySpark and AWS services, plus data governance knowledge.

Qualifications

• Bachelors or masters in Engineering/MCA or equivalent.
• 1-3 years of relevant industry experience as Data Engineer.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.

Responsibilities

• Building, maintaining and optimizing ETL/ ELT pipelines.
• Build and manage data solutions, data models, creating ETL processes.
• Develop and optimize ETL processes to ingest, transform and integrate pharma data.
• Perform EDA, troubleshoot data issues and implement data quality mechanisms.
• Proactive documentation and applying best practices to bring efficiency.

Skills

SQL

Python

Pyspark

ETL

Data Modeling

AWS (S3/Glue/Lambda)

Data Governance

Dataiku

Snowflake

Pharma domain knowledge

Education

Bachelor's or Master's in Engineering/ MCA or equivalent

Tools

Dataiku

Snowflake

AWS

Job description

Roles & Responsibilities

• We are looking for a Data Engineering who will be responsible for building, maintaining and optimizing ETL/ ELT pipelines.
• You are expected to build and manage data solutions, data models, creating ETL processes etc.
• Develop and optimize ETL processes to ingest, transform and integrate various pharma data sources to provide holistic insights from data.
• Responsible for performing EDA (exploratory data analysis), troubleshoot data related issues and implementing data quality mechanisms to ensure the accuracy of data.
• Proactive documentation and applying best practices to bring efficiency.

Required Technical Skills

• Hands-on experience in Data Analysis, Data Marts, Data Warehouse, Data Modelling, ETL, any cloud experience AWS/ Azure.
• Extensive experience in programming language like SQL, Python, Pyspark.
• Relevant hands-on experience in AWS services like S3, Glue, Lambda, CloudWatch, Athena.
• Experience in Dataiku will be a plus
• Good knowledge in Data management, data operations, data quality and data governance.
• Working experience in Dataiku and Snowflake as database.
• Knowledge of SFDC, Waterfall/ Agile methodology.
• Working experience in Pharma domain.

Qualifications

• Bachelors or masters Engineering/ MCA or equivalent degree.
• 1-3 years of relevant industry experience as Data Engineer.
• High motivation, good work ethic, maturity, self-organized and personal initiative.
• Ability to work collaboratively with team.
• Excellent written and verbal communication skills.
• Strong analytical and problem-solving skills.

Location

• Preferably Hyderabad, India