Description

You will take a lead role in analyzing, designing, coding, testing, and implementing complex application enhancements while providing general production support.

Responsibilities

• Analyze and design quality technical solutions by collaborating with customers, BAs, and IT team members to understand business requirements.
• Develop and implement complex application enhancements, ensuring delivery meets defined scope, dates, and budgets with minimal defects.
• Lead project team participation in roles such as Developer or Technical Lead, depending on experience.
• Optimize and troubleshoot Databricks workflows within the full system development life cycle.
• Communicate project status, conduct technical walkthroughs, and provide concise documentation to stakeholders.

Required Skills

• 5 years of experience as a developer.
• 3 years of specific experience with Databricks technology, including notebooks, clusters, and jobs.
• Deep understanding of Spark and its core concepts.
• Proficiency in Spark programming using Python and PySpark.
• Strong data engineering skills: data ingestion (batch/streaming), transformation, and data quality validation.
• Expertise with GCP services (Google Cloud Storage, BigQuery, Pub/Sub, Dataflow).
• Familiarity with ETL and hands-on experience building data pipelines and orchestration.
• Experience with Databricks, GCP, and application development tools within an enterprise SDLC.
• Demonstrated problem-solving, root cause analysis, and issue resolution capabilities.

Preferred Skills

• Master’s degree in Information Technology or Computer Science.
• Experience with BigQuery and PostgreSQL alongside Databricks and Python/PySpark.

Key Skills

Education

Any Graduate