Why This Role Stands Out
This hybrid Data Platform Engineer role offers a fantastic opportunity to shape impactful analytical data products within a reputable global IT partner, leveraging your expertise in SQL, Spark, and Kafka. You'll thrive here if you're a mid-senior professional eager to contribute to enterprise-level solutions and enhance your AI/ML skills in a dynamic environment. Don't miss out on this chance to grow your career!
Quick Overview
Job Description
About Us:
CodeForce 360 is a trusted global IT talent partner helping Fortune 500 companies, system integrators, and enterprise organizations build high-performing technology teams. With over 16 years of industry expertise, we combine speed, precision, and market intelligence to deliver exceptional talent across today's most in-demand technologies.
About the Job- We are looking for an experienced Data Platform Engineer to join one of our enterprise client engagements. The ideal candidate should have strong expertise in SQL, Spark, Kafka, AI/ML along with experience working in fast-paced enterprise environments.
Key Responsibilities:
- Own the strategy, design, and end-to-end delivery of analytical data products and visualizations.
- Translate business requirements into instrumentation, metrics, semantic layers, and data models.
- Standardize metrics and semantic layers across multiple lines of business.
- Partner with executive and cross-functional stakeholders across technical and business teams.
- Work closely with engineering teams on data pipelines, data modeling, and delivery workflows.
- Ensure scalability, performance, reliability, and data quality of analytical data products.
- Investigate complex data issues and develop actionable insights.
Required Qualifications:
- Experience designing, developing, and deploying analytical data products.
- Senior IC leading data products and visualizations across multiple lines of business.
- Strong hands-on experience with SQL, Scala, and Apache Spark.
- Experience with data pipeline technologies such as Kafka and Airflow.
- Strong knowledge of data warehousing, dimensional/star schema modeling, and metric standardization.
- Experience with CI/CD and version control practices.
- Experience building and maintaining large-scale production data pipelines.
- Excellent communication skills with both technical and non-technical/executive stakeholders.
Preferred Qualifications:
- Production experience with SQL, Spark, and Scala.
- Experience with modern data platforms/Lakehouse technologies such as Apache Iceberg, Trino, and Superset.
- Strong understanding of analytics, data modeling, and metric design.
- Experience with AI/ML, recommendation systems, feature engineering, GenAI, RAG, or AI-powered data products is a plus.
How To Apply
Job ID: JPC - 233428
Contact:
Name: Prakash Malla
Email:
Phone:
CodeForce 360 proudly provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable federal, state, or local laws.
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