Sr. Associate - Data Engineering

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