Data Engineer

Location: Prakāshamnagar

For the past 20 years, Pro Pharma has improved the health and wellness of patients by providing advice and expertise that empowers biotech, med device, and pharmaceutical organizations of all sizes to confidently advance scientific breakthroughs and introduce new therapies. Pro Pharma partners with its clients through an advise-build-operate model across the complete product lifecycle. With deep domain expertise in regulatory sciences, clinical research solutions, quality & compliance, pharmacovigilance, medical information, and R&D technology, Pro Pharma offers an end-to-end suite of fully customizable consulting solutions that de-risk and accelerate our partners' most high-profile drug and device programs.

Job Description

Pro Pharma are seeking a versatile Data Engineer with expertise in Python, SQL, and AWS cloud (Glue and Lambda) to design and optimize modern data pipelines and architectures. Skilled in data modeling, ETL, and database management across Postgre

SQL, and SQL Server, this role blends technical problem-solving with strong communication and customer service. Ideal for a quick learner passionate about building scalable, high-performance data solutions in dynamic environments.

If this sounds like you - apply today!

Main Responsibilities

Build scalable ETL/ELT pipelines using Python (e.g., Pandas, PySpark), AWS Glue for ingestion, AWS Lambda for transformations, and load into AWS data stores.
Design and manage schemas for relational databases (Amazon RDS, Aurora, Postgre

SQL/MySQL).
Optimize queries and indexing for performance and cost efficiency.
Work with OLAP systems such as Amazon Redshift for analytical workloads.
Package Python-based data services with Docker and deploy on Amazon ECS or Amazon EKS.
Integrate databases and AWS services via psycopg2 and boto
3.
Develop scripting and automation for recurring data workflows and monitoring tasks.
Maintain data lineage and catalogs using AWS Glue Data Catalog or Apache Atlas.
Ensure compliance with policies for GDPR, HIPAA, and SOC
2.
Configure observability and monitoring with Amazon Cloud Watch.
Implement error handling and retry strategies in ETL/ELT workflows.
Set up alerting for data pipeline failures or anomalies.
Collaborate with data analysts and scientists to make curated data accessible.
Document pipelines, schemas, and APIs for maintainability and knowledge sharing.
Follow up on tickets to ensure issues are resolved.
Keep good records of communications with colleagues.
Identify and suggest areas for improvement.

Necessary

Skills And Abilities

Python: data manipulation, ETL (Extract, Transform, Load) pipelines, automation, and integration tasks.
SQL: querying and manipulating databases
Postgre

SQL, MySQL, Microsoft SQL Server:
Experience designing schemas, writing queries, and managing data integrity.
AWS, Azure Data services S3, Lambda, Redshift, Glue (AWS)
Data Modeling:
Understanding of star/snowflake schemas, normalization/denormalization., partitioning, and optimizing large datasets for analytics.
Data Lakes

Experience with modern architectures
CI/CD:
Familiarity with tools for deploying data pipelines
Good understanding of computing systems and devices.
Ability to diagnose and resolve technical issues.
Excellent written and oral communications skills.
Strong customer service skills.
Efficient and quick learner.
Strong written and oral communication skills.

Educational Requirements

Degree in relevant subject.
CompTIA Network+ Certification (desirable).
MCDST for Windows 10 Pro (desirable)

Experience Requirements

Minimum three years' experience in technician or similar applicable role.

We celebrate our differences and strive to create a workplace where each person can be their authentic self. We are committed to diversity, equity, and inclusion. Employees are encouraged to unleash their innovative, collaborative, and entrepreneurial spirits. With a holistic approach as an Equal Opportunity Employer, we provide a safe space where all employees feel empowered to succeed.

All applications to roles at Pro Pharma are personally reviewed by a member of our recruitment team. We do not rely on AI screening tools to support our hiring process. You will always receive an outcome to your application so that you have an answer from us - whether you're successful or not.

Whilst Pro Pharma supports remote working, we also recognise the value that comes from in person collaboration. As such, we encourage any new hires that are based within a reasonably short commute of one of our offices to work on a hybrid basis and spend some time working from that office location, as agreed with your manager. All applications will be treated on their own merit and candidates will not be at any advantage or disadvantage based on their proximity to an office.

*** Pro Pharma Group does not accept unsolicited resumes from recruiters/third parties. Please, no phone calls or emails to anyone regarding this posting.***