Data Engineering - Consultant

What You'll Work On Support client engagements as a contributing project team member Assist in gathering and understanding business and technical requirements Translate requirements into technical tasks under guidance from senior team members Support preparation of presentations, documentation, and deliverables Develop and support data solutions leveraging: Snowflake (data warehousing, data storage) Databricks (data processing, Spark workloads) AWS ecosystem (S3, Glue, Redshift, Lambda, EMR, IAM) Microsoft Fabric / Azure (Synapse, ADF) DataVault Data Automation Build and maintain data pipelines (primarily batch, with exposure to near real-time) ETL/ELT development and data integration processes Contribute to development of data platforms including data lakes and data warehouses Follow established best practices for coding, testing, and performance optimization Support senior team members in troubleshooting and resolving data issues Participate in code reviews, testing, and quality assurance activities Manage assigned tasks and deliver them within project timelines with minimal oversight Assist with analytics and reporting by preparing curated datasets Support advanced analytics initiatives such as machine learning data preparation Stay current with tools, technologies, and best practices through continuous learning Support data governance, data quality, and documentation efforts Follow data security and compliance standards Contribute to maintaining metadata, lineage, and technical documentation What You'll Bring Bachelors degree in Data Analytics, Business Analytics, Information Systems, Computer Science, Statistics, Mathematics, Economics, or related field 3-5 years of experience in data engineering, analytics, or related technical roles Foundational experience with: SQL and basic data modeling concepts ETL/ELT processes and data integration Exposure to cloud platforms such as AWS, Azure, or GCP Familiarity with tools such as Snowflake, Databricks, or similar platforms is a plus Exposure to programming languages such as Python or Scala is preferred Basic understanding of modern data architecture concepts (data lakes, warehouses) Exposure to data visualization tools (e.g., Power BI, Tableau) is a plus Strong analytical and problem-solving skills How You Work Need to be proactive and look for ways to pitch in Someone who is customer oriented and quality driven Much be able to handle multiple priorities and have good time management This is an ever-changing landscape so the ability to be flexible with routines is important Thinking outside the box to find better ways of working to deliver for clients and internally Bonus Points If You Have Datavault Experience - VaultSpeed, DataVault Builder, Wherescape High attention to detail and commitment to quality Effective communication and teamwork skills Ability to learn quickly and adapt in a consulting-driven, fast-paced environment Demonstrated curiosity and interest in data engineering, analytics, and emerging technologies What Success Looks Like Quick to develop strong client relationships Assist leadership with growing business Identifying new ways to contribute Become invaluable to clients Is a go to person for leadership to develop and deliver Working in a collaborative environment and supporting those around them.