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Senior Engineer 2

Senior Engineer 2

Live Nation

5 years

0 Lacs

India

Posted:12 hours ago| Platform: GlassDoor logo

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Skills Required

data learning engineering pipeline development collaboration drive deployment scalability analytics ai power ml design etl support aws gcp azure databricks model versioning monitoring mlflow airflow governance security software devops leadership python sql processing spark orchestration apache containerization docker kubernetes testing tracking vision communication

Work Mode

On-site

Job Type

Full Time

Job Description

Job Summary:

Job Title: Senior Data Engineer – Machine Learning & Data Engineering

Location: Gurgaon [IND]

Department: Data Engineering / Data Science

Employment Type: Full-Time

YoE: 5-10

About the Role:

We are looking for a Senior Data Engineer with a strong background in machine learning infrastructure , data pipeline development , and collaboration with data scientists to drive the deployment and scalability of advanced analytics and AI solutions. You will play a pivotal role in building and optimizing data systems that power ML models, dashboards, and strategic insights across the company.

Key Responsibilities:

Design, develop, and optimize scalable data pipelines and ETL/ELT processes to support ML workflows and analytics.
Collaborate with data scientists to operationalize machine learning models in production environments (batch, real-time).
Build and maintain data lakes, data warehouses, and feature stores using modern cloud technologies (e.g., AWS/GCP/Azure, Snowflake, Databricks).
Implement and maintain ML infrastructure, including model versioning, CI/CD for ML, and monitoring tools (MLflow, Airflow, Kubeflow, etc.).
Develop and enforce data quality, governance, and security standards.
Troubleshoot data issues and support the lifecycle of model development to deployment.
Partner with software engineers and DevOps teams to ensure data systems are robust, scalable, and secure.
Mentor junior engineers and provide technical leadership on data and ML infrastructure.

Qualifications:

Required:

5+ years of experience in data engineering, ML infrastructure, or a related field.
Proficient in Python, SQL, and big data processing frameworks (Spark, Flink, or similar).
Experience with orchestration tools like Apache Airflow, Prefect, or Luigi.
Hands-on experience deploying and managing machine learning models in production.
Deep knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
Familiarity with CI/CD tools for data and ML pipelines.
Experience with version control, testing, and reproducibility in data workflows.

Preferred:

Experience with feature stores (e.g., Feast), ML experiment tracking (e.g., MLflow), and monitoring solutions.
Background in supporting NLP, computer vision, or time-series ML models.
Strong communication skills and ability to work cross-functionally with data scientists, analysts, and engineers.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

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Senior Engineer 2