Data Engineer (Scala)

TL;DR

Data Engineer (Scala): Designing, building, and optimizing large-scale data pipelines within the telecom domain with an accent on Scala Spark, Databricks, and AWS cloud services. Focus on developing high-performance data platforms for network analytics, customer insights, real-time monitoring, and regulatory reporting.

Location: Remote, from Ukraine (specifically Odesa).

Company

hirify.global is a leading software and digital engineering services company focused on mission-critical solutions across various industries.

What you will do

• Design, develop, and maintain scalable batch data pipelines using Scala, Databricks Spark, Databricks SQL, and Airflow.
• Implement optimized ETL/ELT processes to ingest, cleanse, transform, and enrich large volumes of telecom data.
• Ensure pipeline reliability, observability, and performance tuning of Spark workloads.
• Build and manage data architectures leveraging AWS services (S3, Lambda, IAM, CloudWatch).
• Implement infrastructure-as-code using Terraform.
• Collaborate with cross-functional teams (Architecture, DevOps, Network Engineering, Business Intelligence) and document system designs and data flows.

Requirements

• 4+ years of experience as a Data Engineer or Big Data Developer.
• Strong proficiency in Scala and functional programming concepts.
• Advanced experience with Apache Spark (batch processing, performance tuning, cluster optimization).
• Hands-on experience with Databricks including notebooks, jobs, Delta Lake, and Unity Catalog.
• Strong AWS skills: S3, Lambda, IAM, CloudWatch, and related services.
• Solid understanding of CI/CD practices with Git, Jenkins/Gitlab Actions.
• English proficiency required.

Nice to have

• Experience with MLflow, Python, DBT, or Snowflake.
• Experience in the telecom sector.
• Experience with an agile way of working.

Culture & Benefits

• Belief in the power of diversity, equity, and inclusion, fostering an inspiring workplace.
• Commitment to openness, trust, and diversity.
• Mission to create digital futures that benefit businesses, societies, and humanity.