Exciting opportunity for a Data Engineer with 4–7 years' experience to lead analytic strategies, technical requirements, and data solutions for a major insurance client in our dynamic team.
Location-PAN INDIA(Remote)
Your Future Employer-This company is a leading operations management and analytics provider that empowers businesses to achieve strategic objectives through data-driven insights and innovative solutions. With a focus on sectors like insurance, healthcare, and financial services, it combines domain expertise with advanced analytics to optimize performance and drive growth. Committed to collaboration and continuous improvement, it helps clients navigate complex challenges and seize new opportunities in an ever-evolving market.
Responsibilities:
Define analytic strategies to meet business requirements.
Determine technical and data requirements for analytic solutions.
Acquire data from various sources; implement data collection systems and maintain databases.
Identify, develop, and implement reporting and analytic tools.
Develop dashboards for performance visualization using reporting tools.
Engage in technical problem-solving across multiple technologies; develop new solutions as needed.
Work independently to prepare client-ready deliverables with minimal supervision.
Collaborate with stakeholders as a subject matter expert in data engineering.
Requirements:
Bachelor's or Master's degree in economics, mathematics, actuarial sciences, computer science/engineering, operations research, or related analytics fields.
4+ years of experience in analytics ETL and data engineering roles.
Experience with Google Cloud Platform (GCP) services.
Proficient in Python scripting and data wrangling.
Experience with process flow tools like Airflow.
Strong knowledge of SQL, BigQuery, and GCP; data modeling experience is a plus.
Ability to understand data models and identify ETL optimization opportunities; exposure to ETL tools preferred.
Strong grasp of advanced SQL functionalities (joins, nested queries, procedures).
Superior analytical and problem-solving skills.
Outstanding written and verbal communication skills.
Able to work in a fast-paced, continuously evolving environment and tackle challenges head-on.
What's in It for You:
Work in an exciting, fast-paced, and innovative environment.
Collaborate with highly experienced, world-class analytics consultants.
Learn various aspects of client businesses and industry practices.
Reach Us:
If you are interested in this role, you can reach out to us at mini.dang@crescendogroup.in
Disclaimer: Crescendo Global is specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status or disability status.
Note: We receive numerous applications daily, making it challenging to respond to each candidate. If you do not hear back from us within a week, please assume your profile has not been shortlisted. Your patience is highly appreciated.
Profile Keywords:
Data Engineer, Analytics ETL, Data Engineering, Google Cloud Platform, Python Scripting, Airflow, SQL, BigQuery, Data Modeling, ETL Optimization, Property and Casualty Insurance, Actuarial Projects, Data Analysis, Problem Solving, Communication Skills, Client Interaction, Fast-Paced Environment.