Big Data Engineer
Why This Role Stands Out
Advance your career as a Big Data Engineer at McKinsol Consulting Inc., where you'll build critical data pipelines and cloud-based ETL systems, offering immense opportunities for growth and skill development in a hybrid work environment. If you're passionate about transforming raw data and thrive in collaborative tech environments, this role is for you. Apply today to join a reputable company and make a significant impact!
Quick Overview
Job Description
Big Data Engineer responsible for building data pipelines, data lake/warehouse solutions, and cloud-based ETL systems for Vanguard analytics platforms.
Core Responsibilities
- Build & maintain ETL / ELT pipelines
- Work on data ingestion from sources like GitHub, Jira, APIs
- Develop data lake / warehouse solutions
- Handle batch + real-time data processing
- Collaborate with data science / analytics teams
- Ensure data quality, transformation, and optimization
Typical work includes transforming raw data into analytics-ready datasets.
Required Skills
- Strong in Python / Scala / SQL
- Hands-on with Big Data stack: Hadoop, Spark, Kafka
- Cloud experience (AWS S3, Lambda, Glue, EventBridge)
- Data warehousing / lake concepts
- Experience with distributed syste
Skills
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