Data Engineering Consultant - Databricks (Remote)

Overview

Support client data engagements as a contributing team member, building and maintaining cloud-based data solutions on platforms such as Snowflake, Databricks, AWS and Azure.

What you'll do

• 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, Databricks, the AWS ecosystem (S3, Glue, Redshift, Lambda, EMR, IAM), Microsoft Fabric / Azure (Synapse, ADF), and DataVault
• Build and maintain data pipelines (primarily batch, with exposure to near real-time)
• Develop ETL/ELT and data integration processes
• Contribute to development of 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 need

• Bachelor's 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
• Foundational experience with ETL/ELT processes and data integration
• Exposure to cloud platforms such as AWS, Azure, or GCP
• Basic understanding of modern data architecture concepts (data lakes, warehouses)
• Strong analytical and problem-solving skills

Nice to have

• Familiarity with tools such as Snowflake, Databricks, or similar platforms
• Exposure to programming languages such as Python or Scala
• Exposure to data visualization tools (e.g., Power BI, Tableau)
• 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

Details

• Location: Remote, India
• Employment type: Full-Time