JOB DESCRIPTION
Must have:
- 7+ years of relevant experienceinData Engineeringand 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
JOB RESPONSIBILITIES
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 experienceinData Engineeringand 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
JOB QUALIFICATIONS
Requirements:
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.
