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Data Engineer

0 years

0 Lacs

Gurugram Haryana India

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

data learning power analytics ml etl azure engineering programming python scala sql apache spark databricks stack integration development model monitoring versioning optimization tuning scaling reliability deployment forecasting governance compliance certification collaborative agile compensation

Work Mode

On-site

Job Type

Full Time

Job Description

Are you a data engineer who thrives at the intersection of big data, machine learning, and cloud platforms? At Xebia , we’re building intelligent systems that help global enterprises turn raw data into predictive power—and we’re looking for experts to join the mission. What’s This Role All About? You’ll play a key role in building data-driven platforms that empower advanced analytics and ML solutions. This includes: Designing scalable ETL/ELT pipelines using Azure services Optimizing complex data workflows for ML & analytics Integrating data engineering with ML pipelines and MLOps best practices Your Tech Superpowers: We’re hiring engineers with deep expertise in: 🔹 Programming Languages: Python or Scala, with strong SQL skills 🔹 Big Data Technologies: Apache Spark, Databricks, Delta Lake, Parquet 🔹 Azure Stack: Azure Data Factory, Azure Databricks 🔹 Data Engineering & ML Integration: ETL/ELT development, data transformations, CI/CD, model monitoring, and versioning 🔹 Performance Optimization: Tuning and scaling pipelines for speed and reliability What You’ll Work On: Feature engineering and model deployment pipelines Time-series forecasting , anomaly detection , and NLP solutions Building for retail and workforce analytics use cases Implementing data governance frameworks and ensuring compliance Why Join Xebia? Work on high-impact projects with global enterprise clients Learn and grow through certification programs and mentorship Be part of a collaborative, agile, and innovation-led culture Enjoy competitive compensation and strong career progression Solve real-world problems with modern technologies at scale Show more Show less

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