Databricks Engineer | 5+ Yrs | Immediate Joiner |

We are seeking mid-level Data Engineers with strong hands-on experience in Snowflake, Databricks, and AWS-based data engineering. Ideal candidates should be proactive, initiative-driven, and strong self-learners, capable of independently driving data solutions in a fast-paced environment.

Technical Skill Set (Updated with AWS)

Core Technologies

Snowflake

Snowflake SQL, performance tuning, micro-partitioning

Snowpipe, Streams, Tasks, Resource Monitors

ELT pipeline development & warehouse optimization

Databricks

PySpark/Scala for scalable data transformations

ETL/ELT pipeline development on Databricks

Delta Lake with strong understanding of Medallion Architecture (BronzeSilverGold)

Databricks Workflows for orchestration & automation

Delta Live Tables, notebooks, cluster and job management

Programming Languages

Python (preferred) or Scala

Advanced SQL (analytical functions, windowing, complex joins)

AWS Cloud Skills

Experience working with AWS storage and compute services:

S3, EC2, Lambda, Glue (nice to have)

IAM fundamentals (roles, policies)

Familiarity with AWS networking and security concepts

Data Pipelines & Orchestration

End-to-end ETL/ELT pipeline development using Databricks

Handling structured & semi-structured datasets (Parquet, JSON, Avro)

Knowledge of Azure Data Factory (conceptual understanding only) nice to have

Data Architecture & Engineering Concepts

Strong understanding of Medallion Architecture

Data modeling (star/snowflake)

Batch + streaming ingestion patterns

CI/CD for data pipelines (Git-based workflows)