Data Engineer

Spradious; Philadelphia (Philadelphia County); Remoto; USD 11.000 - 16.000; Tempo pieno

Descrizione del lavoro

Spradious is seeking a hands-on Data Engineer to support data integration and pipeline projects for our US-based clients. This is an ongoing, full-time engagement — not a one-off project.

The role is remote from Pakistan, with overlap into US business hours. You will design, build, and maintain production ETL/ELT pipelines, integrate data across databases and systems, and work with Airflow, Kafka, Snowflake, and other modern data technologies.

Competenze

• 3–5+ years of professional experience in Data Engineering, ETL, or data integration.
• Strong SQL and data modeling skills.
• Hands-on experience with ETL/ELT tools such as Talend, Informatica, Matillion, dbt, or Semarchy xDI.
• Production experience with Airflow or similar orchestration platforms.
• Experience with Kafka or similar streaming technologies.
• Experience with Snowflake, PostgreSQL, Databricks, or similar platforms.
• Familiarity with Docker/Kubernetes and a major cloud provider (AWS, Azure, or GCP).
• Prior experience working with US clients or teams.
• Strong spoken and written English.
• Comfortable working during US business hours.
• Self-directed, reliable, and able to own projects independently.

Mansioni

• Designing, building, and maintaining production ETL/ELT pipelines.
• Integrating data across databases, APIs, files, and third-party systems.
• Writing advanced SQL for transformation, reconciliation, and troubleshooting.
• Building batch and near-real-time data workflows.
• Orchestrating pipelines with Apache Airflow (or similar).
• Working with Kafka or similar streaming/event-driven tools.
• Supporting data modeling, data quality, and warehouse integration.
• Troubleshooting pipeline and production data issues.
• Communicating directly with US clients to gather requirements and provide solutions.
• Documenting technical work and contributing to reusable integration patterns.

Conoscenze

SQL

Data modeling

Strumenti

Airflow

Kafka

Snowflake

PostgreSQL

Databricks

Docker

Kubernetes

AWS

Azure

GCP

Talend

Informatica

Matillion

dbt

Semarchy xDI

Descrizione del lavoro

We're looking for a hands‑on Data Engineer to support data integration and pipeline projects for our US-based clients. This is an ongoing, full-time engagement — not a one-off project.

Location: Pakistan (Remote)

What you'll work on:

• Designing, building, and maintaining production ETL/ELT pipelines
• Integrating data across databases, APIs, files, and third-party systems
• Writing advanced SQL for transformation, reconciliation, and troubleshooting
• Building batch and near-real-time data workflows
• Orchestrating pipelines with Apache Airflow (or similar)
• Working with Kafka or similar streaming/event-driven tools
• Supporting data modeling, data quality, and warehouse integration
• Troubleshooting pipeline and production data issues
• Communicating directly with US clients to gather requirements and provide solutions
• Documenting technical work and contributing to reusable integration patterns

What we're looking for:

• 3–5+ years of professional experience in Data Engineering, ETL, or data integration
• Strong SQL and data modeling skills
• Hands‑on experience with tools like Talend, Informatica, Matillion, dbt, or Semarchy xDI
• Production experience with Airflow or similar orchestration platforms
• Experience with Kafka or similar streaming technologies
• Experience with Snowflake, PostgreSQL, Databricks, or similar platforms
• Familiarity with Docker/Kubernetes and a major cloud provider (AWS, Azure, or GCP)
• Prior experience working with US clients or teams
• Strong spoken and written English
• Comfortable working during US business hours
• Self-directed, reliable, and able to own projects independently

Nice to have:

• Experience with Semarchy xDM, xDI, or SDP
• Consulting or outsourcing background
• Experience in healthcare, financial services, or retail data environments
• Cloud certifications (Snowflake, AWS, Azure, GCP, or Databricks)

Budget:

$1,000–$1,400 USD/month

Hours:

Full-time, must overlap with US business hours