Lead Data Engineer
Must have:
- 7+ years of relevant experience in Data Engineering and delivery.
- 5+ 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
Responsibilities:
• 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.
• 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:
- 7+ years of relevant experience in Data Engineering and delivery.
- 5+ 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
Requirements:
- Bachelor’s in engineering 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.
- Experience with data modeling and ETL processes.
Familiarity with data governance and data security practices.
The base salary for this position ranges from $130-150k based on skills and experience. Other benefits, including annual bonus may be on top of the base salary.