Talent Pool - Data Engineer

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    "datePosted": "2025-09-17",
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    "description": "<p><span style=\"font-size: 24pt\"><span style=\"font-weight: bold\">Data Engineer</span></span></p>\n<p><span style=\"font-size: 24pt\"><br></span><br></p>\n<p><span style=\"font-weight: bold\">Location:</span> Remote in Latam<br><span style=\"font-weight: bold\">Job Type:</span> Full-Time Employee or Contractor<br><span style=\"font-weight: bold\">Contract Type:</span> <span>Full-time Colombian Labor Contract or Contractor</span></p>\n<p><br></p>\n<p>We’re seeking a <span style=\"font-weight: bold\">Data Engineer</span> to design, build, and optimize scalable data pipelines and infrastructure. You will work closely with analysts, data scientists, and backend teams to ensure data is accessible, reliable, and secure.</p>\n<p><br></p>\n<p><span style=\"font-size: 18pt\"><span style=\"font-weight: bold\">Key Responsibilities</span></span></p>\n<p><span style=\"font-size: 18pt\"><br></span></p>\n<ul>\n<li>Design and maintain <span style=\"font-weight: bold\">ETL/ELT pipelines</span> for large-scale data processing.</li>\n<li>Develop and manage <span style=\"font-weight: bold\">data warehouse</span> and <span style=\"font-weight: bold\">data lake</span> solutions.</li>\n<li>Optimize data models for reporting and analytics.</li>\n<li>Ensure data quality, security, and governance.</li>\n<li>Collaborate with stakeholders to translate business needs into technical solutions.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 18pt\"><span style=\"font-weight: bold\">Technical Requirements</span></span></p>\n<p><span style=\"font-size: 18pt\"><br></span></p>\n<ul>\n<li>4+ years of experience in <span style=\"font-weight: bold\">data engineering</span>.</li>\n<li>Proficiency in <span style=\"font-weight: bold\">Python</span> and <span style=\"font-weight: bold\">SQL</span>.</li>\n<li>Experience with cloud platforms (<span style=\"font-weight: bold\">AWS, GCP, or Azure</span>).</li>\n<li>Hands-on with orchestration tools (Airflow, Prefect, DBT).</li>\n<li>Experience with data warehouses (Snowflake, Redshift, BigQuery) and streaming tools (Kafka, Kinesis).</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 18pt\"><span style=\"font-weight: bold\">General Qualifications</span></span></p>\n<p><span style=\"font-size: 18pt\"><br></span></p>\n<ul>\n<li>Degree in Computer Science, Data Engineering, or related field.</li>\n<li>Fluent English (B2+).</li>\n<li>Strong problem-solving and communication skills.</li>\n</ul>",
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    "minimumExperience": "Experienced",
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