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Assistant Data Streaming Jobs (NOW HIRING)

Prepare, cleanse, validated datasets for data science purpose. * Assist data troubleshooting, data ... Spark API, Spark SQL, PySpark, Scala, Python, and data Streaming. * Applicants must have ...

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... followed. Assist with updating the enterprise standards when gaps are identified. * Follows ... PL/SQL, Python, T-SQL, StreamSets, Snowflake Streams and Tasks, and Informatica PowerCenter ...

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Driving new data insights to uncover business opportunities & revenue streams. * Have a firm ... learning • Assist in breaking down complex business problems, developing solutions, and ...

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Streaming Fraud Data Research & Analyst

Nashville, TN · On-site +1

$61.91K - $118.25K/yr

Monitor and analyze large-scale streaming and social data to identify patterns of suspicious or ... monetization. * Assist in defining and improving internal processes, dashboards, and alerting ...

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As of Jun 4, 2026, the average hourly pay for assistant data streaming in the United States is $17.49, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.
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Sr. Data Engineer

Asahi Kasei

Charlotte, NC • Hybrid

Other

Posted 27 days ago


Job description

Job Opportunity at Asahi Kasei America, Inc.

Asahi Kasei America, Inc. is looking for candidates that offer a fresh perspective and a variety of skills to help us achieve our commitment of creating for tomorrow.

Position Type: Full time / HYBRID - (Office - 1-2 times a week)

Location: 3540 Toringdon Way, Suite 200, Charlotte, NC 28277

Job Description:

  • Evaluate and improve T-SQL, MDX, DAX, HiveQL programming concepts such as queries, stored procedures, functions, temporary tables, parameterization, complex joins and groupings.
  • Develop and optimize ETL/ELT pipelines, to load data from on premise and online systems.
  • Ensure data solutions stability and performance optimization.
  • Conduct data warehouse model design, development and support.
  • Prepare, cleanse, validated datasets for data science purpose.
  • Assist data troubleshooting, data featuring and data discovery.
  • Develop tools to automate development and monitoring process.
  • Develop python algorithms for data processing.
  • Support Data science environment, assists data science projects.
  • Manage time effectively to ensure that projects delivered on schedule.
  • Provide on-going maintenance and support of existing and new data solutions.
  • Support solution automation and CI/CD.
  • Remote/Hybrid work schedule - Report to Charlotte, NC office (1-2 times per week)
  • Travel - 5% including travel to Europe once per year.

Qualifications:

  • Bachelor's Degree in Computer Science / Information technology or related field AND five (5) years as Data Engineer, Big Data Engineer, Data Architect, SQL Developer, Database Developer, or related.
  • Applicants must have 5 years' experience with developing business intelligence solutions including data integration, data schema development, data pipelines, modeling and reporting/analytics.
  • Applicants must have 5 years' experience with database design principles, data modeling, partitioning, and data warehouse.
  • Applicants must have 5 years' experience with Python, and Shell scripting.
  • Applicants must have 5 years' experience with SQL writing and query tuning, and query performance optimization.
  • Applicants must have 5 years' experience with data analysis, data modeling, data migration, computer programming, and problem-solving.
  • Applicants must have 4 years' experience with data validation, cleansing, featuring: Pandas, Spark dataframes, and DQ solutions.
  • Applicants must have 3 years' experience with CI/CD.
  • Applicants must have 3 years' experience with CDC.
  • Applicants must have 2 years' experience with big data pipeline development, monitoring and support: ETL, SSIS, Hadoop, HDFS, Spark, Hive, RDD, and UDF.
  • Applicants must have 2 years' experience with cloud data ecosystem: Spark API, Spark SQL, PySpark, Scala, Python, and data Streaming.
  • Applicants must have demonstrative experience with data science tools: Python ML, Scala, and Databricks.

As an equal opportunity employer, Asahi Kasei believes a diverse workforce will provide us with the ability to continuously support the changes in the economy, society, and environment.