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About
Responsibilities
Design, develop, and maintain robust data pipelines and ETL processes to ensure the efficient collection, storage, and processing of large‑scale data.
Implement data governance, data integrity, and data quality measures.
Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver high‑quality data solutions.
Optimize data workflows and systems for performance andli>
Qualifications
Proficiency in SQL and experience with programming languages such as Python, Java, or Scala.
Familiarity with data processing frameworks like Apache Spark or Hadoop.
Experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery.
Knowledge of cloud platforms (AWS, GCP, or Azure) and their data services.
Benefits
Competitive salaries, comprehensive benefits, and a vibrant culture that values work‑life balance and personal growth.
Health coverage, paid volunteer days, wellness resources, and more.
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Languages
- English
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