Data Solutions Architect

2 weeks ago

dindigul, India beBeeDataEngineer Full time

Job Description:As a Data Engineer, you will lead the design, development, and implementation of data solutions using AWS and Snowflake. This involves collaborating 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:8+ years of relevant experience in Data Engineering and delivery.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.Required Skills and Qualifications: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.Benefits:Ability to work independently and as part of a team in a fast-paced environment.Opportunity to utilize knowledge of insurance, particularly claims and loss, to enhance data solutions.Chance to collaborate with cross-functional teams and contribute to the success of the organization.Professional growth and development opportunities in a dynamic and innovative company.A supportive and inclusive work environment that fosters creativity and teamwork.Others:Experience working in Agile Methodology.Knowledge of DevOps tools and practices, continuous integration, and delivery (CI/CD) pipelines.Understanding of cloud implementations, data migration, and Data Vault 2.0 concepts.

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