Senior Data Engineer – Azure ADF/Databricks | Remote

Danta Technologies; United States; Remote; USD 68,000 - 97,000; Full time

Benefits offered by this job

Healthcare insurance

Paid holidays

Paid sick leave

Job summary

Danta Technologies is seeking a Senior Data Engineer to lead end-to-end data projects in a remote environment. You will design, build, and optimize data pipelines using ADF, Databricks, SQL, Oracle PL/SQL and Python to deliver scalable analytics solutions.

You will collaborate with cross-functional teams, mentor junior engineers, and ensure data quality, governance, and performance across enterprise data platforms.

Qualifications

• Proficiency in ADF and Databricks for data integration and processing.
• Strong SQL writing skills for data manipulation and analysis.
• Experience with Oracle PL/SQL for database development.
• Python programming for automation and scripting tasks.
• Knowledge of data warehousing, ETL processes and data modeling.

Responsibilities

• Lead end-to-end technical implementation of data projects using ADF, Databricks, SQL, Oracle PL/SQL and Python.
• Design and develop efficient ETL processes for large datasets.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Optimize data workflows, troubleshoot issues, and ensure data quality and integrity.
• Implement best practices for data security, governance, and compliance.
• Provide mentoring and support to junior team members.
• Stay up-to-date with trends in data engineering and analytics.

Skills

Data warehousing concepts

ETL processes

Data modeling

Problem-solving

Communication skills

Tools

Azure Data Factory (ADF)

Azure Databricks

SQL

Oracle PL/SQL

Python

Job description

Danta Technologies is seeking a Senior Data Engineer to lead end-to-end data projects in a remote environment. You will design, build, and optimize data pipelines using ADF, Databricks, SQL, Oracle PL/SQL and Python to deliver scalable analytics solutions.

You will collaborate with cross-functional teams, mentor junior engineers, and ensure data quality, governance, and performance across enterprise data platforms.