Databricks Developer

Stanra Tech Solutions; Agra District; Remote; INR 9,00,000 - 12,00,000; Part time

Job summary

A technology solutions company is seeking a skilled Databricks Developer for a 4-month remote contract. Candidates should have 4+ years of experience with Databricks, Python, and data engineering technologies. The role includes developing data pipelines and collaborating with teams to deliver data solutions in multi-cloud environments. The position involves India evening shifts (till 11:30 PM IST).

Qualifications

• 4+ years of hands-on experience in Databricks, Python, Spark (PySpark), DBT, and AWS data services.
• Strong experience with SQL and large-scale datasets.
• Hands-on exposure to multi-tenant environments (AWS/Azure/GCP).
• Knowledge of data modeling, data warehouse design, and best practices.
• Good understanding of workflow orchestration tools like Airflow.

Responsibilities

• Develop, optimize, and manage large-scale data pipelines using Databricks, PySpark, DBT, and AWS S3/Glue/Redshift.
• Work in multi-cloud environments including AWS, Azure, and GCP.
• Implement workflow orchestration using Airflow or similar frameworks.
• Design, implement, and manage data warehouse solutions, schema evolution, and data versioning.
• Collaborate with cross-functional teams to deliver high-quality data solutions.

Skills

Databricks

Python

Spark (PySpark)

DBT

AWS data services

SQL

Workflow orchestration

Data modeling

Tools

Airflow

AWS S3

AWS Glue

AWS Redshift

Azure

GCP

Job description

Job Title

Databricks Developer (Contract)

Contract Duration

4 Months +Extensible based on Performance

Job Location

Remote

Job Timings

India Evening Shift (till 11:30 PM IST)

Experience Required

4+ Years

Job Description

We are seeking a skilled Databricks Developer to join our team on a 4-month contract basis. The ideal candidate will have strong expertise in modern data engineering technologies and the ability to work in a fast-paced, remote environment.

Key Responsibilities

• Develop, optimize, and manage large-scale data pipelines using Databricks, PySpark, DBT, and AWS S3/Glue/Redshift.
• Work in multi-cloud environments including AWS, Azure, and GCP.
• Implement workflow orchestration using Airflow or similar frameworks.
• Design, implement, and manage data warehouse solutions, schema evolution, and data versioning.
• Collaborate with cross-functional teams to deliver high-quality data solutions.

Required Skills & Experience

• 4+ years of hands-on experience in Databricks, Python, Spark (PySpark), DBT, and AWS data services.
• Strong experience with SQL and large-scale datasets.
• Hands-on exposure to multi-tenant environments (AWS/Azure/GCP).
• Knowledge of data modeling, data warehouse design, and best practices.
• Good understanding of workflow orchestration tools like Airflow.