Role-Senior Data Engineer (L3)

• *Job Description – Senior Data Engineer (L3\)**

• *Company:** Programming.com
• *Client:** Confidential
• *Role:** Senior Data Engineer (L3\)
• *Experience:** 8\+ Years
• *Location:** Hyderabad (Onsite)
• *Shift:** Night Shift (7:30 PM IST)
• *Budget:** Up to ₹30 LPA
• *Notice Period:** Immediate Joiners Only

• *About the Role**

We are looking for an experienced **Senior Data Engineer (L3\)** to join our Data Science team and build scalable, production\-grade data infrastructure that powers analytics, machine learning, and business intelligence. The ideal candidate should have strong expertise in **DBT, Databricks, PySpark, SQL, Airflow**, and modern data lakehouse architectures.

• *Key Responsibilities**

• Design, develop, and maintain DBT models for trusted datasets, metrics, and feature engineering.
• Build and manage scalable data pipelines using Databricks, PySpark, and Delta/Iceberg tables.
• Transform raw operational data into reliable, production\-ready datasets.
• Develop, schedule, and monitor workflows using Airflow and Prefect.
• Collaborate with Data Scientists and ML Engineers to build production\-ready feature pipelines.
• Optimize Spark and DBT workloads for performance, scalability, and cost efficiency.
• Participate in code reviews and maintain high standards for data quality, testing, and documentation.
• Design reliable and fault\-tolerant data engineering solutions.
• Work with Infrastructure\-as\-Code tools such as Terraform, AWS CDK, or Pulumi.
• Support AI/ML initiatives and contribute to AI\-enabled data workflows.

• *Required Skills**

• 8\+ years of experience in Data Engineering.
• Strong SQL skills.
• Hands\-on experience with **DBT, Databricks, PySpark, and Airflow**.
• Experience working with distributed data systems.
• Knowledge of **Delta Lake** or **Apache Iceberg**.
• Experience with Infrastructure\-as\-Code tools (Terraform, AWS CDK, or Pulumi).
• Understanding of data modeling, ETL/ELT pipelines, and workflow orchestration.
• Excellent written and verbal communication skills.
• Experience using AI coding assistants such as Cursor, GitHub Copilot, Claude Code, or similar.

• *Preferred Skills**

• Experience with Kinesis or other streaming technologies.
• Exposure to MLOps and Machine Learning data pipelines.
• Experience supporting AI/ML teams.
• Familiarity with supply chain or logistics domain.
• Experience working with US\-based engineering teams.
• Experience integrating LLMs or AI into data engineering workflows.

• *Technology Stack**

• DBT
• Databricks
• PySpark
• SQL
• Airflow
• Prefect
• Delta Lake / Apache Iceberg
• Terraform / AWS CDK / Pulumi
• Kinesis (Preferred)
• EMR (Preferred)
• Sigma (Preferred)

• *Interested candidates who can join immediately are encouraged to apply.**

Pay: ₹2,900,000\.00 \- ₹3,000,000\.00 per year

Work Location: In person