Data Engineer, Salesforce Focus

🔥 0 minutes ago

🌐 Colombia, Costa Rica, +3 more countries – Remote

🇨🇴 Colombia – Remote 🇨🇷 Costa Rica – Remote 🇦🇷 Argentina – Remote 🇵🇪 Peru – Remote 🇳🇮 Nicaragua – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🌐👩‍💻 Salesforce Developer

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 46 days.
• No salary listed.

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In All Media

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

In All Media is a global community-driven service organization specializing in agile development services. The company focuses on developing digital solutions through a collaborative approach that leverages swarming intelligence and team dynamics. They are dedicated to aligning industry needs with the interests of their technical community members, who possess extensive experience in various domains such as UX/UI design, quality engineering, cloud computing, big data, Salesforce, and more. In All Media emphasizes a secure development environment and a strong collaborative spirit, striving for innovation and excellence in software production. Their model relies on pre-established teams with substantial past experience working together, ensuring efficient and effective delivery of customized development solutions.

📋 Description

• Execute end-to-end migration of mission-critical datasets, legacy data workflows, and orchestrated DAGs to modernized cloud infrastructure • Convert legacy Hive table architectures to Apache Iceberg format on AWS S3 • Reconfigure, validate, and manage Apache Kafka connections, brokers, and topics across multiple AWS regions • Adapt, model, and tune data pipelines directly in Snowflake • Author, schedule, and debug Apache Airflow DAGs • Resolve upstream failures, optimize sensor dependencies, and prevent pipeline bottlenecks • Define and execute data reconciliation and validation strategies • Guarantee zero data loss, schema consistency, and end-to-end data integrity across migrations • Diagnose, profile, and resolve performance issues across distributed Spark/PySpark jobs, Kafka consumer groups, and AWS storage layers • Collaborate in daily standups and live architectural syncs with US engineering leadership

🎯 Requirements

• 6+ years of hands-on data engineering experience designing, deploying, and maintaining distributed, production-grade data pipelines on petabyte-scale datasets • High proficiency in Python • Advanced SQL skills, including complex CTEs, window functions, schema design, and query optimization • Production expertise with Apache Spark / PySpark for batch and streaming transformations • Strong hands-on experience authoring and maintaining complex Apache Airflow DAGs • Strong hands-on experience configuring cross-regional event pipelines with Apache Kafka • Direct experience managing AWS S3 data lakes using Apache Iceberg and Parquet formats • Hands-on experience with Snowflake schema modeling, warehouse configuration, and query tuning • Ability to independently troubleshoot distributed pipeline execution failures, network latencies, and serialization bottlenecks • Ability to operate within an enterprise AWS WorkSpace (VDI) environment • Must complete a mandatory AWS network health-check verification and provide a passing screenshot during application • Full-time business-hour alignment with US Central Time (CT) • English required for interviews, technical documentation, architectural reviews, daily team syncs, and operational communications

🏖️ Benefits

• 100% remote work • Full-time vendor contractor engagement directly with In All Media • Time zone alignment with US Central Time • Remote, distributed-team work environment • Global collaboration with international clients and teams

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