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AM Best · 1 day ago

Data Engineer - Databricks

Oldwick, NJ

Full-time

Hybrid

Mid, Senior Level

4+ years exp

AM Best is a company focused on providing reliable analytics and data solutions. The Data Engineer is responsible for designing, building, and optimizing scalable data solutions to support business needs while collaborating with cross-functional teams.

Financial Services

Responsibilities

Assist with leading the team's transition to the Databricks platform and utilize the newer features of Delta Live Tables, Workflows etc

Design and develop data pipelines that extract data from Oracle, load it into the data lake, transform it into the desired format, and load it into Databricks data lakehouse

Optimize data pipelines and data processing workflows for performance, scalability, and efficiency

Implement data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data

Help create and maintain documentation for data mappings, data definitions, architecture and data flow diagrams

Build proof-of-concepts to determine viability of possible new processes and technologies

Deploy and manage code in non-prod and prod environments

Investigate and troubleshoot data related issues and fix or provide solutions to fix defects

Identify and resolve performance bottlenecks, which could include suggesting ways to optimize and performance tune databases and queries to enhance query performance

Qualification

Databricks certificationPythonSQLPL/SQLKimball dimensional modelingAirflowRelational databasesNoSQL databasesCloud experienceCI/CDStorage formatsCollaborationProblem-solving

Required

Bachelor's Degree in Computer Science, Data Science, Software Engineering, Information Systems, or related quantitative field

4 plus years of experience working as a Data Engineer, ETL Engineer, Data/ETL Architect or similar roles

Must hold a current/active Databricks Data Engineer/Analyst certification

4+ years of solid continuous experience in Python

3+ years working with Databricks with knowledge and expertise of data structures, data storage and change data capture gained from prior production implementations of data pipelines, optimizations, and best practices

3+ years of experience in Kimball dimensional modeling (star-schema comprising of facts, type1 and type2 dimensions, aggregates, etc.) with solid understanding of ELT/ETL

3+ years of solid experience writing SQL and PL/SQL code

2+ years of experience with Airflow

3+ years of experience working with relational databases (Oracle preferred)

2+ years of experience working with NoSQL databases: MongoDB, Cosmos DB, DocumentDB or similar

2+ years of cloud experience (Azure preferred)

Experience with CI/CD utilizing git/Azure DevOps

Experience with storage formats including Parquet/Arrow/Avro

Effectively collaborate with team members while being able to work independently with minimal supervision

Must have a creative mindset, knack to solve complex problems, passion to work with data, and a positive attitude

Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products

Expert problem-solving skills, including debugging skills, allowing the determination of sources of issues in unfamiliar code or systems