Data Engineer – Snowflake & Apache Spark

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from The New York Consulting Group We are seeking a skilled and certified Data Engineer with proven hands-on experience in Snowflake and Apache Spark . The ideal candidate holds a SnowPro Core or Advanced Certification and a Databricks Certified Associate Developer for Apache Spark , demonstrating their expertise in modern data platforms and distributed data processing. This role will involve building scalable data pipelines, optimizing data storage, and enabling real-time and batch data processing. Key Responsibilities: Design, develop, and maintain robust, scalable ETL/ELT pipelines using Apache Spark and Snowflake . Leverage Databricks for data processing, transformation, and analytics in distributed environments. Develop efficient SQL and Spark applications to process and analyze large volumes of data. Implement and maintain data warehousing solutions using Snowflake with best practices for performance, cost, and security. Collaborate with data scientists, analysts, and business stakeholders to meet data needs. Ensure data quality and integrity through unit testing, data validation, and monitoring. Optimize and troubleshoot Spark jobs, SQL queries, and Snowflake data workflows. Integrate with various data sources (cloud storage, APIs, RDBMS) and tools (Airflow, DBT, etc.). Apply data governance and compliance policies in data pipeline design and execution. Required Qualifications: Certifications : Databricks Certified Associate Developer for Apache Spark (latest version preferred) Experience : 3+ years of experience working with Snowflake , including schema design, query optimization, and Snowpipe/Streams/Tasks. 2+ years of hands-on development with Apache Spark (PySpark, Scala, or Java) in Databricks or open-source environments. Strong understanding of distributed computing , data lakes , and modern data architectures . Technical Skills : Proficient in SQL , Spark (RDD/DataFrame APIs) , and Python or Scala Experience with cloud platforms (AWS, Azure, or GCP), especially integrating Snowflake and Databricks Familiarity with data modeling , data quality , and orchestration tools (e.g., Airflow, Prefect) Knowledge of CI/CD pipelines and version control (e.g., Git, GitHub Actions) Preferred Qualifications: Experience with Delta Lake , MLflow , and Data Governance frameworks Familiarity with real-time data streaming (Kafka, Spark Structured Streaming) Strong communication and documentation skills Experience working in Agile/Scrum teams Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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