Data Engineering Consultant – Databricks

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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FormativGroup

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

FormativGroup is a B2B technology consulting and implementation firm that helps mid-market and enterprise clients modernize applications, workflows, and data infrastructure. They specialize in data architecture, system integration, application development, workflow automation, SaaS/PaaS ecosystem management, and AI roadmapping to enable governance, migrations, and interoperability across complex environments. FormativGroup serves regulated and enterprise sectors such as insurance, banking, mortgage & lending, wealth management, healthcare, and the public sector, focusing on outcome-based designs and continuous improvement.

📋 Description

• 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

• 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

• Equal opportunity employer • Reasonable accommodations for individuals with disabilities