Data Engineering Consultant – Databricks

FormativGroup

. Support client engagements as a contributing project team member .

Posted 10/19/2026full-timeRemote • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and analytics, with a strong foundation in ETL/ELT processes, data integration, and cloud platforms such as AWS and Azure. Proficient in developing data solutions using Snowflake and Databricks while maintaining high standards of data quality and governance.

Highest-signal resume keywords

Data EngineeringETL/ELT ProcessesSnowflakeAWSSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IntegrationData ModelingBatch Data PipelinesData LakesData WarehousesPerformance OptimizationMachine Learning Data PreparationData GovernanceMetadata ManagementData Quality

Soft Skills

Analytical SkillsProblem-SolvingCustomer-OrientedEffective CommunicationTeamwork

Tools & Technologies

DatabricksMicrosoft FabricAzurePower BITableauPythonScalaDataVault Data AutomationVaultSpeedWherescape

Industry Keywords

Data AnalyticsBusiness AnalyticsInformation SystemsComputer ScienceStatisticsMathematicsEconomicsCloud PlatformsModern Data ArchitectureConsulting

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformPythonScalaSQLTableau

About the role

Key responsibilities & impact

Support client engagements as a contributing project team member
Gather and understand business and technical requirements
Translate requirements into technical tasks under senior team guidance
Prepare presentations, documentation, and deliverables
Develop and support data solutions using Snowflake, Databricks, AWS, Microsoft Fabric, Azure, and DataVault Data Automation
Build and maintain primarily batch data pipelines, with exposure to near real-time processing
Develop ETL/ELT and data integration processes
Contribute to data lakes and data warehouses
Follow coding, testing, and performance optimization best practices
Troubleshoot and resolve data issues with senior team members
Participate in code reviews, testing, and quality assurance
Manage assigned tasks and deliver within project timelines with minimal oversight
Prepare curated datasets for analytics and reporting
Support machine learning data preparation
Maintain knowledge of tools, technologies, and best practices
Support data governance, data quality, security, compliance, metadata, lineage, and technical documentation
Build client relationships and assist leadership with business growth
Identify new ways to contribute and support collaborative delivery

Requirements

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, including data lakes and warehouses
Strong analytical and problem-solving skills
Proactive, customer-oriented, and quality-driven approach
Ability to handle multiple priorities and manage time effectively
Flexibility in an ever-changing environment
Familiarity with Snowflake, Databricks, or similar platforms is a plus
Exposure to Python or Scala is preferred
Exposure to Power BI or Tableau is a plus
Datavault experience with VaultSpeed, DataVault Builder, or Wherescape is a bonus
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

Benefits

Comp & perks

Equal opportunity employer
Reasonable accommodations for individuals with disabilities