Data Engineer

hace 3 días

Buenos Aires, Argentina Soft Dev Team A tiempo completo

**Role Overview**

**Key Responsibilities**
- Design, develop, and maintain **scalable ETL/ELT pipelines** for structured and unstructured data.
- Build **data architectures** that support **batch and real-time data processing**.
- Work with **big data processing frameworks** such as Apache Spark, Apache Flink, or Kafka.
- Implement **data governance, security, and compliance standards**.
- Ensure high data quality through **data validation, monitoring, and anomaly detection**.
- Automate **data ingestion, transformation, and processing** for AI/ML workflows.
- Deploy and manage data solutions in **AWS, Azure, or GCP** cloud environments.
- Collaborate with **Data Scientists and AI Engineers** to enable **data-driven AI models**.
- Utilize **SQL and NoSQL databases** for efficient storage and retrieval of large datasets.

**Required Skills & Experience**
- **Proficiency in data engineering frameworks**: Apache Spark, Hadoop, Airflow, DBT.
- Strong knowledge of **SQL, NoSQL, and data modeling techniques**.
- Experience in **ETL/ELT pipeline development** using Python, Scala, or Java.
- Hands-on experience with **cloud data platforms** (AWS Redshift, BigQuery, Snowflake, Databricks).
- Expertise in **real-time streaming technologies** (Apache Kafka, Kinesis, Pulsar).
- Experience with **data warehouse and lakehouse architectures**.
- Strong understanding of **data partitioning, indexing, and performance tuning**.
- Familiarity with **containerized deployments** (Docker, Kubernetes) for data pipelines.
- Experience in **CI/CD automation for data workflows**.

**Preferred Qualifications**
- Experience with **machine learning data pipelines and feature engineering**.
- Hands-on knowledge of **data lake technologies** (Delta Lake, Iceberg, Hudi).
- Familiarity with **Terraform, Ansible, or other infrastructure-as-code (IaC) tools**.
- Understanding of **graph databases (Neo4j, ArangoDB) and time-series databases**.
- Experience in **data observability, lineage tracking, and governance**.

**Why Join Us?**
- Work with cutting-edge data technologies in a forward-thinking AI/ML company.
- 100% remote role with a flexible schedule.
- Opportunities for growth and continuous learning in **Data Engineering and AI**.
- Competitive salary

Work Location: In person

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