Job
Description
Roles & Responsibilities : • We are looking for a strong 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 Lake and Data warehouse solutions, design data models, create ETL processes, implementing data quality mechanisms etc. • Perform EDA (exploratory data analysis) required to troubleshoot data related issues and assist in the resolution of data issues. • Should have experience in client interaction oral and written. • Experience in mentoring juniors and providing required guidance to the team. Required Technical Skills • Extensive experience in languages such as Python, Pyspark, SQL (basics and advanced). • Strong experience in Data Warehouse, ETL, Data Modelling, building ETL Pipelines, Data Architecture . • Must be proficient in Redshift, Azure Data Factory, Snowflake etc. • Hands-on experience in cloud services like AWS S3, Glue, Lambda, CloudWatch, Athena etc. • Good to have knowledge in Dataiku, Big Data Technologies and basic knowledge of BI tools like Power BI, Tableau etc will be plus. • Sound knowledge in Data management, data operations, data quality and data governance. • Knowledge of SFDC, Waterfall/ Agile methodology. • Strong knowledge of Pharma domain / life sciences commercial data operations. Qualifications • Bachelors or masters Engineering/ MCA or equivalent degree. • 4-6 years of relevant industry experience as Data Engineer . • Experience working on Pharma syndicated data such as IQVIA, Veeva, Symphony; Claims, CRM, Sales, Open Data 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. Location • Preferably Hyderabad/ Chennai, India
