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Urgent! Data Engineer Snowflake & Apache Spark Job Opening In New York County New York – Now Hiring Tanisha Systems

Data Engineer Snowflake & Apache Spark



Job description

Job description:-



Title: Data Engineer Snowflake & Apache Spark (Certified)


Location: Plano, TX (5 Days Onsite in a week)

Duration: 12+ Months



Job Description:

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)




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




Additional Job Details:









About Tanisha Systems, Inc.



Tanisha Systems, founded in 2002 in Massachusetts-*, is a leading provider of Custom Application Development and end-to-end IT Services to clients globally.

We use a client-centric engagement model that combines local on-site and off-site resources with the cost, global expertise and quality advantages of off-shore operations.

We deliver Custom Application Development, Application Modernization, Business Process Outsourcing and Professional IT Services from office locations in * and *.

Tanisha Systems services clients in Government, Banking & Financial Markets, Insurance, Healthcare, Retail & Consumer Goods, Energy & Utilities, Life Sciences, Telecom, Manufacturing and Transportation Industries around the globe.

Our engagement model provides a flexible operational environment that empowers our clients with the right levels of control.





Want to read more about Tanisha Systems?

Visit us at (url removed)



Website Open Jobs




Required Skill Profession

Architecture And Engineering



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