Senior Data Engineer - SQL
Summary
Senior Data Engineer in Bangalore designing and operating data pipelines and a modern warehouse stack: SQL, Python, Snowflake, Databricks/Spark, Airflow orchestration, Kafka streaming, dbt, and AWS/Azure/GCP with Git, CI/CD, and Terraform.
* 7+ years of hands-on **Data Engineering** experience.
* Strong expertise in **SQL and Python**.
* Hands-on experience with **Snowflake** and modern data warehousing.
* Strong experience with **ETL/ELT, data modeling, and data pipeline development**.
* Experience with **AWS, Azure, or GCP**.
* Hands-on experience with **Databricks / Apache Spark / PySpark**.
* Experience with **Apache Airflow** or other orchestration tools.
* Knowledge of **Kafka / streaming, CDC, incremental loads, and SCD**.
* Experience with **dbt** and modern ELT practices.
* Good understanding of **Git, CI/CD, Terraform, data quality, monitoring, and cloud security**.
* Strong troubleshooting, performance optimization, and production support experience.
### Good to Have
* Experience with **Delta Lake / Apache Iceberg**.
* Snowflake features such as **Snowpipe, Streams, Tasks, Dynamic Tables, and Time Travel**.
* Experience with **Docker/Kubernetes** and cloud-native architectures.
* Exposure to **data governance, lineage, observability, and GenAI/ML data pipelines**.
* Strong communication, technical leadership, and mentoring skills.
### Core Tech Stack
**SQL | Python | Snowflake | Databricks | Spark/PySpark | AWS/Azure/GCP | Airflow | Kafka | dbt | Git | CI/CD | Terraform**
Skills
- Airflow
- AWS
- Azure
- CI/CD
- Cloud
- Cloud Native
- Cloud Security
- Data Engineering
- Data Governance
- Data Modeling
- Data Pipelines
- Data Quality
- Data Warehousing
- Databricks
- dbt
- Delta Lake
- Docker
- ELT
- ETL
- GCP
- Generative AI
- Git
- Iceberg
- Kafka
- Kubernetes
- Machine Learning
- Observability
- PySpark
- Python
- Snowflake
- Spark
- SQL
- Terraform