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Saransh Inc

Data Engineer with Snowflake and Apache Spark - Only W2

Saransh Inc, Plano, Texas, us, 75086

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Data Engineer with Snowflake and Apache Spark - Only W2

Data Engineer with Snowflake and Apache Spark - Only W2

Get AI-powered advice on this job and more exclusive features. 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)

Seniority level

Seniority level Mid-Senior level Employment type

Employment type Contract Job function

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