Consultant-Data Engineer (Only from Pharma/Lifescience/Biotech domain)

Job Description for Consultant - Data Engineer About Us: Chryselys is a Pharma Analytics & Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations. We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights. Who we are: People - Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies. Quality - Our goal is to deliver the value of a big five consulting company without the big five cost. Technology - Our solutions are Business centric built on cloud native technologies. Key Responsibilities and Core Competencies: • You will be responsible for managing and delivering multiple Pharma projects. • Leading a team of atleast 8 members, resolving their technical and business related problems and other queries. • Responsible for client interaction; requirements gathering, creating required documents, development, quality assurance of the deliverables. • Good collaboration with onshore and Senior folks. • Should have fair understanding of Data Capabilities (Data Management, Data Quality, Master and Reference Data). • Exposure to Project management methodologies including Agile and Waterfall. • Experience working in RFPs would be a plus. Required Technical Skills: • Proficient in Python, Pyspark, SQL • Extensive hands-on experience in big data processing and cloud technologies like AWS and Azure services, Databricks etc . • Strong experience working with cloud data warehouses like Snowflake, Redshift, Azure etc. • Good experience in ETL, Data Modelling, building ETL Pipelines. • Conceptual knowledge of Relational database technologies, Data Lake, Lake Houses etc. • Sound knowledge in Data operations, quality and data governance. Preferred Qualifications: • Bachelors or master’s Engineering/ MCA or equivalent degree. • 6-13 years of experience as Data Engineer , with atleast 2 years in managing medium to large scale programs. • Minimum 5 years of Pharma and Life Science domain exposure in IQVIA, Veeva, Symphony, IMS 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, India