Manager - Data Engineering
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Reach the decision-maker — $5About the role
**We’re Hiring: Manager \- Data Engineering****Location:** Hyderabad**Department:** Data and Technology**Job Type:** Full\-time**Reports To:** Head \- D\&T **About Us:****Chryselys** is a **"Great Place to Work",** 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.**Role Overview:****Key Responsibilities and Core Competencies:**
* + 7\-13 years of strong total experience in data engineering with proven experience in leading enterprise\-scale implementations + Lead end\-to\-end data engineering initiatives for pharma clients + Strong experience in designing scalable cloud\-based data architecture using best practices + Design and implementing scalable data pipelines (batch \& real\-time), ETL/ELT workflows + Build and optimize data lakes and data warehouses + Data modeling (dimensional \& normalized) + Expertise in Git repository + Interacting with clients to understand the business requirements and deliver with best quality on time + Designing data quality framework + Understanding of MDM fundamentals + Hands on experience in one of the orchestration tool (i.e., Airflow, Databricks workflows, step functions etc.) + Team Management: Lead a team of data engineers, business analysts, quality engineers etc. + Stakeholder Management: Collaborate with client stakeholders, data scientists, and business teams to deliver the best quality + Pharma or life science domain expertise in commercial functional area + Expertise in commercial pharma data sources
**Required Technical Skills:**
* + Hands\-on sound experience in Azure or AWS, Databricks, Pyspark, Python, SQL, Redshift + Expertise in Data Management, ETL/ELT + Designing and implementing large scale pharma data platforms + Client facing experience + Project delivery and management + Pharma domain experience in must + Excellent communication skills + Strong analytical and problem\-solving skills
**Good to Have:*** + One of the reporting tool (Power BI, Tableau, Qlik etc.) exposure + MDM process understanding + Any one No SQL database experience + Gen AI experience + API integration experience
**How to Apply:** Ready to make an impact? Apply now by clicking \[here] or visit our careers page at https://chryselys.com/chryselys\-career Please include your resume and a cover letter detailing why you’re the perfect fit for this role.**Equal Employment Opportunity:** Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.**Connect with Us:** Follow us for updates and more opportunities: https://linkedin.com/company/chryselys/mycompany**Discover more about our team and culture:** http://chryselys.com
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