Teads

4 weeks ago

Senior Data Infra Engineer - Big Data

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Design, build, and scale robust data pipelines and data infrastructure for a high-traffic ad tech platform. Expand data warehouse and data lake capabilities, collaborate with data scientists and product teams, and ensure data quality and near real-time insights across TB+ datasets in a cloud environment.

Location: Israel

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Design, build, and maintain robust and scalable data pipelines (ETL/ELT) using Apache Spark to ingest, process, and transform large-scale datasets.
•Expand and optimize our data warehouse and data lake capabilities, ensuring data quality, consistency, and accessibility for BI and ML applications.
•Architect and manage data infrastructure primarily on GCP or AWS, including services like BigQuery, S3, GCS, EMR, and AirFlow.
•Collaborate with cross-functional teams to understand data needs and implement solutions that support new product features and initiatives.
•Implement monitoring, alerting, and logging to ensure data pipeline health and data accuracy.

Pay and Benefits

Perks:Hybrid WorkingNearby Parking

Key Requirements

•5+ years of data engineering experience, building and operating production data pipelines at scale (TB+ datasets, hourly/daily batch or streaming workloads).
•Hands-on production experience with Apache Spark and distributed data processing frameworks such as Flink, Hive, or Trino.
•Production experience building and operating data solutions on GCP or AWS, including services like BigQuery, Dataproc, GCS, S3, EMR, or Redshift.
•Production experience with Kafka or Kafka-compatible streaming platforms, including development, operation, and troubleshooting of real-time data pipelines.
•Strong understanding of data warehouse and data lake concepts, including Medallion Architecture (Bronze, Silver, Gold) and data platform best practices.

Experience:5+ yearsAd techBig dataData engineering

Skills:Apache SparkScalaPythonJavaBigQueryDataprocGCSS3EMRAirFlowKafkaData warehouseData lakeMedallion Architecture

Languages:English

Tech Stack:Apache SparkFlinkHiveTrinoScalaPythonJavaGCPAWSBigQueryDataprocGCSS3EMRAirFlowKafka

Company Brief

Teads

Teads is a global media and advertising platform delivering premium outstream video and display advertising across publishers and brands. It provides programmatic advertising solutions, creative formats, and analytics to optimize campaign performance at scale.

Industry: Advertising Media Groups

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Paris, France

Founded: 2008

Website LinkedIn

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Teads

4 weeks ago

Senior Data Infra Engineer - Big Data

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Israel

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Design, build, and maintain robust and scalable data pipelines (ETL/ELT) using Apache Spark to ingest, process, and transform large-scale datasets.
•Expand and optimize our data warehouse and data lake capabilities, ensuring data quality, consistency, and accessibility for BI and ML applications.
•Architect and manage data infrastructure primarily on GCP or AWS, including services like BigQuery, S3, GCS, EMR, and AirFlow.
•Collaborate with cross-functional teams to understand data needs and implement solutions that support new product features and initiatives.
•Implement monitoring, alerting, and logging to ensure data pipeline health and data accuracy.

Pay and Benefits

Perks:Hybrid WorkingNearby Parking

Key Requirements

•5+ years of data engineering experience, building and operating production data pipelines at scale (TB+ datasets, hourly/daily batch or streaming workloads).
•Hands-on production experience with Apache Spark and distributed data processing frameworks such as Flink, Hive, or Trino.
•Production experience building and operating data solutions on GCP or AWS, including services like BigQuery, Dataproc, GCS, S3, EMR, or Redshift.
•Production experience with Kafka or Kafka-compatible streaming platforms, including development, operation, and troubleshooting of real-time data pipelines.
•Strong understanding of data warehouse and data lake concepts, including Medallion Architecture (Bronze, Silver, Gold) and data platform best practices.

Experience:5+ yearsAd techBig dataData engineering

Skills:Apache SparkScalaPythonJavaBigQueryDataprocGCSS3EMRAirFlowKafkaData warehouseData lakeMedallion Architecture

Languages:English

Tech Stack:Apache SparkFlinkHiveTrinoScalaPythonJavaGCPAWSBigQueryDataprocGCSS3EMRAirFlowKafka

Company Brief

Teads

Industry: Advertising Media Groups

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Paris, France

Founded: 2008

Website LinkedIn