Data Engineer-Databricks/SAS/SQL – 5-9 Years - Gurgaon
Join our team as a Data Engineer to optimize data pipelines and ensure data integrity, supporting data-driven decisions in our insurance-focused operations.
Location: Gurgaon
Your Future employer: Global leader in providing end-to-end business solutions across diverse industries.
Responsibilities:
- Develop and maintain scalable data pipelines.
- Implement robust data checks for accuracy.
- Monitor and troubleshoot data jobs.
- Review and audit data processes for compliance.
- Collaborate with data analysts, IT professionals, and business stakeholders.
Requirements:
- Bachelor’s degree in Computer Science, Information Technology, or related field.
- Proven experience as a Data Engineer or similar role.
- Proficiency in Databricks, SQL, and SAS.
- Experience with data modeling, ETL processes, and data warehousing.
- Strong analytical and problem-solving skills.
- Preferred: Knowledge of the insurance industry and cloud services (AWS, Azure).
What is in it for you?
- Work in an exciting, fast-paced, and innovative environment.
- Collaborate with experienced analytics consultants.
- Learn various business aspects and develop teamwork and time-management skills.
Reach Us: If you think this is the right opportunity for you, feel free to apply or forward your application with your updated resume at mini.dang@crescendogroup.in for further discussions.
Disclaimer: Crescendo Global is an ISO 9001:2015 certified Leadership Hiring consulting arm of Crescendo Group with expertise in mid to senior 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 a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us in 1 week. Your patience is highly appreciated.
Profile Keywords: Data Engineer, Databricks, SQL, SAS, Data Pipelines, ETL, Data Warehousing, Insurance Data, Cloud Computing, AWS, Azure, Analytics