Chryselys, a certified “Great Place to Work” pharma analytics and business consulting firm, has opened hiring for the position of Analyst / Associate – Data Engineering at its Hyderabad office. Posted under Job ID 137903, this full-time role in the Data and Technology department is tailored for professionals with 1 to 3 years of experience in building ETL/ELT pipelines, managing data warehouses, and processing pharma analytics datasets using Python, SQL, PySpark, and AWS cloud tools.
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Job Overview:
| Particular | Details |
|---|---|
| Hiring Enterprise | Chryselys |
| Position Role | Analyst / Associate – Data Engineering |
| Job ID | 137903 |
| Department | Data and Technology |
| Reports To | Manager – D&T |
| Work Location | Hyderabad, India |
| Experience Requirement | 1 to 3 Years in Data Engineering |
| Offered Package | Not Disclosed (As per Industry Standards) |
| Educational Bar | Bachelor’s or Master’s in Engineering / MCA |
| Core Technical Stack | Python, SQL, PySpark, AWS (S3, Glue, Lambda), Snowflake |
| Domain Focus | Pharma Sales & Commercial Analytics |
Core Position Framework:
As an Analyst in Data Engineering at Chryselys, you will design, build, and optimize ETL/ELT pipelines to ingest and transform complex pharmaceutical data sources. You will work on cloud-native architectures (AWS/Snowflake), execute Exploratory Data Analysis (EDA), resolve data quality anomalies, and build robust data models to power AI-driven pharma commercial insights.
Key Operational Responsibilities:
- ETL/ELT Pipeline Development: Design, execute, and optimize data ingestion and transformation pipelines for pharma sales datasets.
- Cloud Data Warehousing: Manage data marts and cloud data warehouses utilizing AWS services (S3, Glue, Lambda, Athena, CloudWatch) and Snowflake.
- Data Quality & EDA: Perform exploratory data analysis (EDA), implement automated data validation checks, and resolve pipeline anomalies.
- Model Building & Documentation: Develop scalable data models, apply Agile software practices, and create thorough process documentation.
- Cross-Functional Delivery: Collaborate with analytics strategists and consulting leads to deliver high-impact commercial insights.
Key Skill Requirements:
- Programming & Scripting: Strong hands-on experience in SQL, Python, and PySpark.
- Cloud Architecture: Applied exposure to AWS (S3, Glue, Lambda, CloudWatch, Athena) or Azure.
- Databases & Tools: Experience working with Snowflake database; familiarity with Dataiku or SFDC is a plus.
- Domain Expertise: Prior working knowledge or domain exposure to Pharma Sales Data and commercial analytics workflows.
- Education: B.E / B.Tech / M.E / M.Tech or MCA degree in relevant engineering fields.
How to Apply & Registration Workflow
Eligible candidates can apply directly via the Keka applicant management portal:
1.Verify Technical Profile Alignment:
Ensure your CV reflects 1-3 years of data engineering experience with explicit mention of Python, SQL, AWS, and ETL projects.
2.Access Chryselys Keka Job Portal:
Open the official job application URL.
3.Fill Candidate Information & Upload Documents:
Click ‘Apply for this job’, enter your contact details, and upload your resume along with a concise cover letter outlining your pharma analytics/data engineering exposure.
4.Track Submission Confirmation:
Submit the form and record your application details for upcoming interview rounds with the Chryselys Data and Technology team.
Frequently Asked Questions (FAQs)
What qualification is mandatory for the Chryselys Data Engineering Analyst role?
Candidates must hold a Bachelor’s or Master’s degree in Engineering (B.E/B.Tech/M.Tech) or MCA.
How many years of experience are required for this role?
This position requires 1 to 3 years of relevant industry experience as a Data Engineer.
What are the key technical skills required for this job?
The role requires proficiency in Python, SQL, PySpark, AWS Services (S3, Glue, Lambda), and Snowflake data warehousing.
Is pharma domain experience mandatory?
Working experience with pharmaceutical sales data or healthcare analytics is preferred and provides a strong advantage during evaluation.
Disclaimer
Hustle2GetHired is an independent career news notification portal. We operate as a free informational platform and do not process hiring fees. All candidates are evaluated directly on the official application site of Chryselys.
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