Job Description

We are looking for a Software Engineer to join our Enterprise Data Engine (EDE) Team in Bangalore. The team consists of 30+ colleagues and is reporting to the EDE Leadership. If you love to code with

Python/Py-Spark

, we'd love to hear from you. We are looking for someone who has experience with

Snowflake

or any database like Oracle, SQLServer, Teradata, etc and ideally has worked in a cloud environment. It will be great if you have experience or familiarity with any ETL tool like Abinitio, SSIS, Informatica, Talend or Pentaho would be added advantage as well. Don't feel discouraged to apply if you don't - we are a big team of experienced Data Engineers, so if you'd like to tap into a new area, we'd be happy to provide you with all the support you need to become a confident Data Engineer.

About You - experience, education, skills, and accomplishments

Bachelor's degree in Computer Science/Information Systems or related field with 2+ years of experience in Data processing using Python/Py-Spark At least 2+ years of experience working on data processing by building data pipelines At least 1+ years of experience with any relational databases like Oracle, SQLServer, Teradata, etc Having exposure to any Bigdata platforms, AWS etc.

It would be great if you also had . . .

Experience with Python / Py-Spark Experience with any ETL tools & relational databases Experience with Data pipelines development and testing Experience with writing SQL queries & Stored Procedures Knowledge and experience in agile software development (e.g. SCRUM)

What will you be doing in this role?

As a member of Data Engineering Team, you'll

Step into a key role on an expanding data engineering team to build our data platforms, data pipelines, and data transformation capabilities. Define and implement our data platform strategy on Cloud, have a meaningful impact on our customers, and working in our high energy, innovative, fast-paced Agile culture, in a leading tech company in the healthcare space. Drive rapid prototyping and development with Product and Technical teams in building and scaling new high-value medical data capabilities to enable products, and insights.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using Apache suite (airflow, spark), SQL, Python, ETL, and AWS big data technologies.
Creation and support of batch and real-time data pipelines and ongoing data monitoring and validation built on AWS/Snowflake/Apache technologies for medical data from many different sources. Continual research of the latest big data technologies to provide new capabilities and increase efficiency. Help continually improve ongoing reporting and analysis processes, through automation to enable self-service support for internal and external customers.

Product you will be developing

We are building real world data platform includes more than 300 million longitudinal covered lives, 2 million healthcare providers and 98% of payers in the United States, with visibility into 100 million electronic health records (EHR).


Our disease analysts, market specialists and data scientists connect claims and EHR data delivering valuable assets to answer life science team's hardest questions


We use Python with spark, Airflow. Snowflake as a Database and AWS cloud

About the Team

Enterprise Data Engine is a team of 20 people with Architects, Bigdata Developers, ETL Developers, QA engineers based out of India, US & Canada

Hours of Work

40-hours per week, permanent full-time position


At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.