Data Engineer_Snowflake_Databricks_AWS_5+Years_PAN India

We are looking for an experienced Data Engineer with strong expertise in cloud data platforms and modern data engineering technologies. The role involves building scalable data pipelines, designing enterprise data architectures, and supporting advanced analytics and reporting solutions. Candidates with experience in the Insurance domain, particularly Property & Casualty (P&C), will be highly preferred.

Location – Gurugram/Noida/Bangalore/Pune

Your Future Employer - A leading global analytics and operations management company helping businesses enhance growth and profitability through advanced analytics, automation, and data-driven insights. The organization serves multiple industries including insurance, healthcare, banking, utilities, and logistics with a strong global presence.

Responsibilities –

1. Design, develop, and maintain scalable data pipelines across cloud platforms such as Azure, AWS, Databricks, and Snowflake.

2. Architect enterprise data solutions including data lakes, data warehouses, data marts, and real-time data processing frameworks.

3. Build and manage ingestion pipelines for structured, semi-structured, and unstructured data including policy, claims, underwriting, and actuarial datasets.

4. Develop and optimize ETL/ELT workflows using tools such as Azure Data Factory, Databricks, Apache Spark, Airflow, or dbt.

5. Implement data governance, security, and data quality frameworks while ensuring platform scalability, reliability, and performance.

Requirements –

1. Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.

2. 8+ years of experience in data engineering, data warehousing, or big data platforms.

3. Strong hands-on experience in SQL, Python, and large-scale data pipeline development.

4. Experience working with cloud platforms such as Azure, AWS, or GCP and modern data platforms like Databricks, Snowflake, Azure Synapse, Redshift, or BigQuery.

5. Knowledge of data modeling techniques, ETL orchestration tools (Airflow/ADF), CI/CD pipelines, and DevOps practices in data environments.

What is in it for you - Opportunity to work on enterprise-scale data engineering initiatives in a fast-paced analytics environment while collaborating with data scientists, actuaries, and business stakeholders to build impactful data solutions.

Reach us - If you think this role is aligned with your career, kindly write me an email along with your updated CV on jagrati.taneja@crescendogroup.in for a confidential discussion on the role.

Disclaimer - Crescendo Global 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 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.

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