Custom Software Engineer

Project Role : Custom Software Engineer

Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills : MySQL

Good to have skills : NA

Minimum 3 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As a Custom Software Engineer, a typical day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. The role requires working closely with project teams to ensure that the software meets specific business requirements. The engineer actively engages in iterative development cycles, applying modern methodologies to build scalable and efficient solutions. Collaboration and continuous refinement of the software are key aspects, ensuring that the final product aligns with organizational goals and user expectations.

Key Skills:

Databricks + SQL + Python/PySpark + Data Engineering

The ideal candidate will have advanced skills in Python and SQL, hands-on experience with Databricks, and the ability to translate business requirements into efficient technical implementations.

Key Responsibilities:

Design, develop, and optimize ETL pipelines and workflows using Databricks, Python, and SQL.

Handle large-scale datasets, ensuring performance, scalability, and data integrity.

Translate business requirements into robust data models, queries, and scripts.

Implement data transformations, orchestration, and automation within Databricks.

Collaborate with analysts, data scientists, and business stakeholders to deliver actionable insights.

Build dashboards and reports using Power BI or similar BI tools.

Ensure compliance with data governance, security, and best practices.

Document processes, pipelines, and solutions for knowledge sharing.

Required Skills:

Strong proficiency in Python and SQL with 6+ years of experience.

Hands-on expertise with Databricks (data engineering, Spark, orchestration).

Experience handling large datasets and optimizing performance.

Knowledge of data warehousing concepts and ETL workflows.

Familiarity with BI tools (Power BI, Tableau) for reporting and visualization.

Exposure to cloud platforms (Azure, AWS, or GCP) and version control (Git).

Strong problem-solving, communication, and collaboration skills.

Exposure to machine learning workflows within Databricks is a plus.

, 15 years full time education