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About the role
Job Title: Data Engineer Location: USA (Remote) Employment Type: W2 Job Description We are looking for an experienced Data Engineer to build, optimize, and maintain scalable data pipelines and data platforms that support analytics, reporting, and business intelligence initiatives. The ideal candidate should have strong expertise in ETL/ELT development, SQL, cloud platforms, and big data technologies. Required Skills 5+ years of experience as a Data Engineer.
Strong proficiency in SQL and Python.
Experience building and maintaining ETL/ELT pipelines.
Hands-on experience with Spark, Databricks, or Hadoop ecosystem.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
Experience with data warehousing technologies like Snowflake, Redshift, BigQuery, or Synapse.
Knowledge of data modeling, data lakes, and data governance.
Experience with workflow orchestration tools such as Airflow or Azure Data Factory.
Familiarity with Git, CI/CD, and Agile development practices.
Strong problem-solving and analytical skills.
Preferred Qualifications
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Experience with Kafka or other streaming technologies.
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Knowledge of Delta Lake, Iceberg, or Lakehouse architecture.
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Experience with BI tools such as Power BI, Tableau, or Looker.
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Bachelor's degree in Computer Science, Information Technology, or a related field.
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Relevant cloud or data engineering certifications are a plus.
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