Sr. Associate - Data Engineering

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 experience in Python, Pyspark, SQL.
• Strong experience in Data Warehouse, ETL, Data Modelling, building ETL Pipelines, Snowflake database.
• Must have strong hands-on experience in Azure and its services.
• Must be proficient 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.
• Knowledge of SFDC, Waterfall/ Agile methodology.
• Strong knowledge of 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.