DataSpot Consulting Group
At
Data Spot Consulting Group , we help Fortune 500s and high-growth companies turn raw data into real-world impact. If you’re a data engineer passionate about solving complex data challenges and building future-ready systems, we want to meet you.
What You’ll Work On
Designing and building scalable data pipelines and ETL workflows
Working with structured and unstructured data to ensure clean, reliable data delivery
Collaborating with data scientists, solution architects, and domain experts
Supporting analytics, machine learning, and AI-driven insights
Optimizing data systems for performance, cost-efficiency, and governance
Languages : Python, SQL, PySpark
Data Platforms : Snowflake, Databricks, BigQuery, Redshift
Workflow & Orchestration : Apache Airflow, dbt
DevOps : Git, CI/CD pipelines, Terraform (nice to have)
Bonus : Experience with ML pipelines, LLM data architecture, or real-time streaming (Kafka, Spark Streaming)
Strong foundation in data modeling, data warehousing, and ELT
Hands-on experience with modern data tools and cloud-native platforms
Ability to write clean, scalable, and well-documented code
Comfort in a fast-paced consulting environment
Curiosity, ownership, and a builder’s mindset
Be part of a growing global data consulting group
Work on high-impact projects in Healthcare, Fintech, and Sustainability
Opportunity to innovate with applied AI and data governance frameworks
Flat hierarchy, flexible hours, and entrepreneurial culture
Access to our in-house research lab and IP incubation studio
Full Name (required) Email (required) Phone Number (required) Select Job Position Location (optional) Upload Your Resume (PDF/DOCX) Cover Letter
#J-18808-Ljbffr
Data Spot Consulting Group , we help Fortune 500s and high-growth companies turn raw data into real-world impact. If you’re a data engineer passionate about solving complex data challenges and building future-ready systems, we want to meet you.
What You’ll Work On
Designing and building scalable data pipelines and ETL workflows
Working with structured and unstructured data to ensure clean, reliable data delivery
Collaborating with data scientists, solution architects, and domain experts
Supporting analytics, machine learning, and AI-driven insights
Optimizing data systems for performance, cost-efficiency, and governance
Languages : Python, SQL, PySpark
Data Platforms : Snowflake, Databricks, BigQuery, Redshift
Workflow & Orchestration : Apache Airflow, dbt
DevOps : Git, CI/CD pipelines, Terraform (nice to have)
Bonus : Experience with ML pipelines, LLM data architecture, or real-time streaming (Kafka, Spark Streaming)
Strong foundation in data modeling, data warehousing, and ELT
Hands-on experience with modern data tools and cloud-native platforms
Ability to write clean, scalable, and well-documented code
Comfort in a fast-paced consulting environment
Curiosity, ownership, and a builder’s mindset
Be part of a growing global data consulting group
Work on high-impact projects in Healthcare, Fintech, and Sustainability
Opportunity to innovate with applied AI and data governance frameworks
Flat hierarchy, flexible hours, and entrepreneurial culture
Access to our in-house research lab and IP incubation studio
Full Name (required) Email (required) Phone Number (required) Select Job Position Location (optional) Upload Your Resume (PDF/DOCX) Cover Letter
#J-18808-Ljbffr