Job Facts
Job function: Data Engineer
Location: Gurgaon
Division: Pharma
Schedule: Full-time
Job type: Regular Employee
Job level: Data Engineer
Responsibility
- Design and Build Data Platform including data pipelines and libraries at scale to help offer new products and solutions
- Participate in architectural & data management discussions to build confidence and ensure success when building new solutions
- Lead a team of internal and external engineers to set up completely new data lake and warehouse from existing data structures of MSSQL Server footprint
- Participate in solutions design discussions with internal and external stakeholders
- Work with the modelling teams to deploy and maintain HEOR / RWE solutions
- Provide technical expertise to the team
Skills and Expertise
- Big data tools: Hadoop/AWS stack (S3, Athena etc.)
- Expert in Relational SQL and NoSQL databases, including Postgres, Redshift and MongoDB
- Data pipeline and workflow management tools: Azkaban, Airflow, Glue
- Experience in data ingestion tools such as Spark, DMS, Flume, NIFI
- Working knowledge of distributed clusters such as EC2
- Working knowledge of scripting with python or reporting tools- Tableau, Power BI, D3js – is a big advantage
Educational Qualification
- Bachelors/Masters in Computer Science or related subjects from a reputed institution
Typical Experience
- At least 7 years of industry experience in developing data science models and solutions
- Experience in building data science-based products will be a big advantage
- Ability to quickly pick up new programming languages, technologies, and frameworks
- Strong understanding of data structures and algorithms
- Ability to work in a start-up environment with a do-it-yourself attitude
- Experience in handling healthcare data (Claims, Trials, RWE) is desired
To apply for this post, email applyIndia@smartanalyst.com