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Senior Databricks Data Engineer

InfiCare Technologies

 

Aliso Viejo, CA, USA

Posted On: 15+ days ago
Experience: 10+ years
Availability: Remote
Openings: 1
Category: Databricks data engineer
Tenure: No Preference/Any
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Description

Job Overview 

We are seeking an experienced Senior Databricks Data Engineer with strong expertise in designing, developing, and optimizing large-scale data engineering solutions on the Databricks platform. The ideal candidate will have hands-on experience building enterprise-grade data pipelines, processing high-volume datasets, and delivering scalable analytics solutions using PySpark, Spark SQL, Apache Spark, and AWS cloud technologies.

Key Responsibilities 

  • Design, develop, and maintain scalable data engineering solutions using Databricks, PySpark, Spark SQL, and Apache Spark
  • Build and optimize end-to-end ETL/ELT pipelines integrating Databricks with AWS S3, Snowflake, Apache Airflow, and AWS Glue
  • Process and transform large-scale structured and semi-structured datasets for enterprise reporting, analytics, and regulatory requirements
  • Develop reusable frameworks for data ingestion, cleansing, transformation, validation, reconciliation, enrichment, and business rule implementation
  • Implement data quality checks, monitoring, and governance controls
  • Perform performance tuning and optimization of Spark applications and Databricks workloads
  • Collaborate with stakeholders, architects, and analytics teams to deliver scalable solutions
  • Support advanced analytics initiatives including customer segmentation, campaign analytics, AML/regulatory reporting, and data validation

Required Skills 

  • Databricks and Lakehouse Architecture
  • PySpark, Spark SQL, Apache Spark
  • AWS S3, AWS Glue
  • Snowflake
  • Apache Airflow
  • Data modeling, data warehousing, and big data processing
  • Structured and semi-structured data formats: JSON, Parquet, Avro, CSV
  • Data quality frameworks and monitoring solutions
  • Strong SQL and data analysis skills

Preferred Skills 

  • Experience in AML, regulatory reporting, compliance, or financial data domains
  • CI/CD and DevOps practices for data engineering
  • Delta Lake, Databricks Workflows, Unity Catalog
  • Agile/Scrum delivery methodologies

Education

Any Graduate

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