Senior Data Engineering

About this role

Roles & Responsibilities: · We are looking for a Senior Data Engineering who will be majorly responsible for designing, building and maintaining ETL/ ELT pipelines. · Integration of data from multiple sources or vendors to provide the holistic insights from data. · You are expected to build and manage Data warehouse solutions, designing data models, creating ETL processes, implementing data quality mechanisms etc. · Performs EDA (exploratory data analysis) required to troubleshoot data related issues and assist in the resolution of data issues. · Should have experience in client interaction. · Experience in mentoring juniors and providing required guidance. Required Technical Skills · Extensive hands on experience in Python, Pyspark, SQL, Dataiku. · Strong experience in Data Warehouse, ETL, Data Modelling, building ETL Pipelines, Snowflake database. · Working knowledge in Databricks, Redshift, ADF etc. · Hands-on experience in cloud services like Azure, AWS- S3, Glue, Lambda, CloudWatch, Athena. · Sound knowledge in end-to-end Data management, Data ops, quality and data governance. · Familiar with SFDC, Waterfall/ Agile methodology. · Strong domain knowledge in Pharma domain/ life sciences commercial data operations. Qualifications · Bachelor's or master's Engineering/ MCA or equivalent degree. · 5-7 years of relevant industry experience as Data Engineer. · Experience working on Pharma syndicated data such as IQVIA, Veeva, Symphony; Claims, CRM, Sales etc. · High motivation, good work ethic, maturity, self-organized and personal initiative. · Ability to work collaboratively and providing the support to the team. · Excellent written and verbal communication skills. · Strong analytical and problem-solving skills.

Key Responsibilities

• Design ETL/ELT Pipelines
• Manage Data Warehouse Solutions
• Develop Data Models
• Troubleshoot Data Issues
• Implement Data Quality

Requirements

Must have

• 5–7 years of experience