Data Engineer with Snowflake & Apache Spark - Only W2
Data Engineer with Snowflake & Apache Spark - Only W2
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Job Description
Job Title: Data Engineer Snowflake & Apache Spark
Location : Plano TX 5 Days onsite
Only W2
Experience 8
RTTO 5 Days Onsite
Certification is Mandatory.
Job Summary:
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:
- SnowPro Core / Advanced Certification (e.g. SnowPro Advanced: Architect Data Engineer etc.)
- 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)
Employment Type
Full-time
