Data Engineer - Python/SQL/ETL

0 years

0 Lacs

Posted:5 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Key Responsibilities

  • Design, develop, test, and maintain robust data architectures, pipelines, and ETL processes.
  • Ensure data quality, integrity, and security across systems and workflows.
  • Optimize data systems for performance, scalability, and cost-efficiency.
  • Collaborate with cross-functional teams to gather requirements and enable data-driven analytics and insights.
  • Monitor, troubleshoot, and resolve issues within data workflows and systems.
  • Maintain documentation for data processes, standards, and best Skills & Qualifications :
  • Bachelors/Masters degree in Computer Science, Information Technology, Data Engineering, or related field.
  • Proven experience with data pipeline tools and ETL frameworks (e.g., Apache Airflow, Talend, NiFi).
  • Strong proficiency in SQL and experience with relational/non-relational databases (e.g., MySQL, PostgreSQL, MongoDB).
  • Hands-on experience with big data tools (e.g., Hadoop, Spark, Kafka).
  • Proficiency in Python/Java/Scala for data processing.
  • Knowledge of cloud platforms (AWS, Azure, GCP) and their data services.
  • Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
  • Strong problem-solving, troubleshooting, and communication Skills (Good to Have) :
  • Experience with containerization/orchestration (Docker, Kubernetes).
  • Knowledge of machine learning pipelines and integration.
  • Exposure to data governance and compliance practices.
(ref:hirist.tech)

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HIC Global Solutions

Information Technology

Los Angeles

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