Senior Data Engineer

Altimetrik; Bengaluru; Hybrid; INR 6,000,000 - 9,000,000; Full time

Job summary

Altimetrik in Bengaluru is seeking a Senior Data Engineer with strong hands-on Python, Advanced SQL and Apache Airflow. You will build and maintain scalable ETL/ELT data pipelines, work with large datasets, and support ML/AI data requirements such as feature pipelines and training/inference datasets.

The role demands 6–8+ years of data engineering experience with hands-on Airflow, Spark/PySpark, and experience with data quality and data reliability to ensure robust data infrastructure for

Qualifications

• 6–8+ years of Data Engineering experience.
• Strong hands-on Python.
• Strong/Advanced SQL.
• Hands-on Apache Airflow: DAG creation, scheduling, monitoring, troubleshooting.
• Strong ETL/ELT and data pipeline development.
• Experience with large-scale data processing.
• Good understanding of data quality and data reliability.

Skills

6–8+ years of Data Engineering exp

Python

SQL

Apache Airflow

ETL/ELT and data pipelines

Large-scale data processing

Data quality and data reliability

Tools

Apache Airflow

Spark / PySpark

Hive / Presto / Trino

Snowflake / BigQuery / Redshift

Job description

Role Summary: We are looking for a Senior Data Engineer with strong hands‑on experience in Python, Advanced SQL and Apache Airflow.The candidate will build and maintain scalable ETL/ELT data pipelines, work with large datasets, and support ML/AI data requirements such as feature pipelines and training/inference datasets.

Mandatory Skills Must Have

• 6–8+ years of Data Engineering experience
• Strong hands‑on Python
• Strong/Advanced SQL
• Hands‑on Apache Airflow
  • DAG creation
  • Scheduling
  • Monitoring
  • Troubleshooting
• Strong ETL/ELT and data pipeline development
• Experience with large‑scale data processing
• Good understanding of data quality and data reliability

Good to Have

• Spark / PySpark
• Hive / Presto / Trino
• Snowflake / BigQuery / Redshift
• ML data pipelines / feature engineering
• Feature Stores
• Experience supporting ML/Personalization/Recommendation/Ranking systems
• Data lineage and observability
• Experience handling very high-volume data