Lead data Engineer

Job Description:

Key Skills: Snowflake, SQL, Python, Spark, AWS- Glue, Big Data Concepts  

Responsibilities:  

• Lead the design, development, and implementation of data solutions using AWS and Snowflake.  
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.  
• Develop and maintain data pipelines, ensuring data quality, integrity, and security.  
• Optimize data storage and retrieval processes to support data warehousing and analytics.  
• Provide technical leadership and mentorship to junior data engineers.  
• Work closely with stakeholders to gather requirements and deliver data-driven insights.  
• Ensure compliance with industry standards and best practices in data engineering.  
• Utilize knowledge of insurance, particularly claims and loss, to enhance data solutions.  

Must have:  

• Snowflake expertise (hands-on & architectural understanding) , challenging situation in the project(most common question)this must be data related, or implementation related only 
• ETL/Data Management proficiency, mastery in: Query optimization, data quality, performance tuning, big data problems, RBAC, row/column-level security, CDC, Incremental vs Batch, Unix commands, job scheduling, CI/CD pipeline
• Team leadership (8-10+ members) , End-to-end project implementation with clarity, complex challenges in the project, describe the specific problem and its solution
• Excellent communication skills 
• Stakeholder management & cross-functional collaboration (knowledge on data quality checks, profiling, STTM, data integration from multiple sources, reusable framework)
• Release planning, change management, training, KT, L2/L3 support
• Apache Iceberg + AWS glue good to have
• 10+ years of relevant experience in Data Engineering and delivery.   
• 10+ years of relevant work experience in Big Data Concepts. Worked on cloud implementations.   
• Strong experience with SQL, python and Pyspark   
• Good understanding of Data ingestion and data processing frameworks    
• Good experience in Snowflake, SQL, AWS (glue, EMR, S3, Aurora, RDS, AWS architecture)   
• Good aptitude, strong problem-solving abilities, analytical skills, and ability to take ownership as appropriate.   
• Should be able to do coding, debugging, performance tuning, and deploying the apps to the Production environment.   
• Experience working in Agile Methodology    

Requirements:  

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.  
• Proven experience as a Data Engineer, with a focus on AWS and Snowflake.  
• Strong understanding of data warehousing concepts and best practices.  
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.  
• Experience in the insurance industry, preferably with knowledge of claims and loss processes.  
• Proficiency in SQL, Python, and other relevant programming languages.  
• Strong problem-solving skills and attention to detail.  
• Ability to work independently and as part of a team in a fast-paced environment