Lead Data Engineer - Snowflake, AWS

Company Description Oncorre, Inc. is a boutique digital transformation consultancy headquartered in Bridgewater, New Jersey, USA. Established in 2007, Oncorre specializes in providing engineering solutions for Fortune companies and Government Agencies. Our mission is to help enterprises accelerate the adoption of new technologies, resolve complex issues during digital evolution, and drive continuous innovation. We service clients across the US with both onsite and offsite models, tailored to meet individual client needs. Location Options: Hybrid at Jersey City, New jersey Role Description This is a contract role or fulltime for a Lead Data Engineer – SQL and Snowflake. The ideal candidate will have extensive experience in designing and implementing data solutions, with a strong emphasis on Snowflake. As a lead engineer, you will be responsible for overseeing the development of data architectures, ensuring data quality, and mentoring junior team members. Candidate should Provide technical expertise in needs identification, data modeling, data movement, and translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective. Good knowledge of conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL). Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively · 12+ Years of experience as a Data Engineer · Strong technical expertise in SQL and Snowflake is a must. · Strong knowledge of joins and common table expressions (CTEs) · Strong expertise in ETL process and with various data model concepts · Knowledge of star schema and snowflake schema · AWS services such as S3, Athena, Glue, EMR/Spark with a major emphasis on S3 and Glue · Experience with Big Data Tools and technologies Key Skills: · Good Understanding of data structures and data analysis · Knowledge of implementing ETL/ELT for data solutions end-to-end · Understanding requirements, and data solutions (ingest, storage, integration, processing) · Knowledge of analyzing data using SQL · Conducting End to End verification and validation for the entire application Responsibilities: · Understand and translate business needs into data models supporting long-term solutions. · Perform reverse engineering of physical data models from databases and SQL scripts. · Analyze data-related system integration challenges and propose appropriate solutions. • · Assist with and support setting the data architecture direction (including data movement approach, architecture/technology strategy, and any other data-related considerations to ensure business value)