Principal Data Engineer - Driving Data Excellence BI Transformation
We are seeking a highly skilled and experienced Principal Data Engineer to be a cornerstone of our data team. This pivotal role will focus on architecting, building, and optimizing our data infrastructure, driving BI enablement, and leading critical data transformation and migration projects. You will be instrumental in designing and implementing scalable, efficient, and robust ETL/ELT solutions that power our analytics and business intelligence initiatives.
Key Responsibilities:
- Lead the design, development, and optimization of large-scale data pipelines and data warehouse/lake solutions.
- Drive data integration (ETL/ELT) strategies and implementations across diverse platforms and technologies.
- Collaborate with BI and analytics teams to ensure data availability, quality, and accessibility for reporting and insights.
- Mentor junior engineers and contribute to establishing best practices in data engineering and software development.
- Evaluate and implement new data technologies and approaches to enhance our data ecosystem.
What You'll Bring:
- Bachelor's degree in engineering or science, or equivalent practical experience.
- 10+ years of progressive experience in software and data engineering, with at least 8 years dedicated to data-centric roles.
- Mastery of programming languages such as Java, Scala, and/or Python.
- Robust expertise in SQL and extensive cloud data experience, particularly with Snowflake and AWS data services.
- Extensive experience in designing and implementing data integration (ETL/ELT) solutions across diverse platforms, utilizing languages like Java, Scala, Python, PySpark, and SparkSQL.
- Hands-on proficiency with ETL/ELT tools such as dbt, along with robust data pipeline orchestration skills.
- Demonstrated ability to build, optimize, and maintain production-grade data pipelines supporting batch, replication/CDC, and event streaming patterns for data lakes and wareh
📌 Principal Data Engineer (Noida)
🏢 Siemens
📍 Noida