12 days ago
Riga, LatviaMid Level

Responsibilities

  • Build, deploy, and maintain streaming and batch data ingestion pipelines using Apache Flink, CDC-based ingestion, schema registries, and validation processes.
  • Design and operate raw, curated, and served data layers while optimizing query performance, storage costs, data freshness, table maintenance, compaction, and partitioning.
  • Develop SQL transformation pipelines, dimensional data models, schemas, and ingestion and transformation logic for new data domains.
  • Implement data quality testing for freshness, completeness, and schema conformance.
  • Build and maintain BI dashboards, ad hoc query capabilities, and scheduled reporting solutions.
  • Establish governed datasets supporting AI/ML initiatives such as predictive maintenance and capacity forecasting.
  • Document data models, pipeline architectures, governance controls, and data management practices.
  • Collaborate with internal teams to gather requirements, validate assumptions, and deliver data solutions.

Requirements

  • Bachelor’s or master’s degree in Computer Science, Data Engineering, Information Technology, or a related field, or equivalent professional experience.
  • At least 4 years of professional data engineering experience, including streaming and batch pipeline development.
  • Production experience with Apache Flink or a comparable stream-processing platform.
  • Experience with CDC-based ingestion architectures, data governance, access controls, and data protection measures.
  • Hands-on experience with Apache Iceberg, Delta Lake, AWS Glue Data Catalog, Protobuf, schema registries, and schema evolution management.
  • Experience operating Apache Airflow for workflow orchestration.
  • Knowledge of AWS services including S3, Glue, MSK, IAM, Athena, and Redshift.
  • Experience supporting AI/ML data preparation and data platform initiatives.
  • Experience working with operational telemetry data and commercial or business datasets.
  • English proficiency at B2 level or above, along with strong collaboration, communication, organization, ownership, and problem-solving skills.

Benefits

  • Work may be performed in a standard office or remote home-office environment.
  • Occasional after-hours incident response activities may be required.
  • Occasional business travel may be required.

Tech Stack

Amazon RedshiftApache AirflowApache FlinkApache KafkadbtGitGrafanaPrometheusPythonSQL

Categories

Data Engineering
AST SpaceMobile

About AST SpaceMobile

1,001-5,000 employees

AST SpaceMobile builds a space-based cellular broadband network that connects directly to standard smartphones, selling capacity to mobile network operators and government users. The public company, founded in 2017 and headquartered in Midland, Texas, trades on NASDAQ. It has demonstrated direct 4G/5G voice and data links from its BlueWalker 3 test satellite and is developing commercial satellites to extend coverage to remote and underserved areas.

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