Consultant - Data Engineering
2 weeks ago
About Us
Job Description for Consultant - Data Engineer
Chryselys is a US based Pharma Analytics & Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.
Chryselys was founded in the heart of US Silicon Valley in November 2019 with the vision of delivering high-value business consulting, solutions, and services to clients in the healthcare and life sciences space. We are trusted partners for organizations that seek to achieve high-impact transformations and reach their higher-purpose mission.
Chryselys India supports our global clients to achieve high-impact transformations and reach their higher-purpose mission.
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).
- Developing and optimizing Data pipelines and Data Quality framework enhancements.
- 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, Dataiku etc.
- Strong experience working with cloud data warehouses like Snowflake, Azure etc.
- Good experience in ETL, Data Modelling, building and optimizing ETL Data Pipelines.
- Conceptual knowledge of Relational database technologies, Data Lake, Lake Houses etc.
- Sound knowledge in Data operations, quality and data governance.
- Experience in developing agents to automate the data processes and improve quality and governance
- Exposure to Data Lineage and Metadata to build AI ready foundational data
- Good experience in creating and operationalizing ARDs (Analytics Ready Data)
Preferred Qualifications
- Bachelor's or master's Engineering/ MCA or equivalent degree.
- 7-9 years of experience as Data Engineer, with atleast 2 years in managing medium to large scale projects/ programs.
- Minimum 5 years of Pharma and Life Science domain exposure in various data sets like IQVIA, Veeva, Symphony, IMS etc.
- High motivation, good work ethic, self-organized and personal initiative.
- Project management and team management skills.
- Ability to work collaboratively and providing the support to the team.
- Excellent written and verbal communication skills.
- Strong analytical and problem-solving skills.
- Know-how of Agentic AI and other automation technologies will be plus
Location
- Preferably Hyderabad, India
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