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Infinite Lambda

Data Engineer

Infinite Lambda

. Lead the design, development, and optimization of data pipelines using Databricks (including Delta Live Tables / Lakeflow) on Azure.

Posted 5/7/2026contractRemote • 🇦🇷 ArgentinaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AirflowAmazon RedshiftAWSAzureCassandraCloudDockerDynamoDBGoGoogle Cloud PlatformGreenplumHadoopJavaKafkaKubernetesLinuxMacOSMongoDBMySQLNoSQLOraclePostgresPythonScalaSpark

About the role

Key responsibilities & impact
  • Lead the design, development, and optimization of data pipelines using Databricks (including Delta Live Tables / Lakeflow) on Azure.
  • Migrate and refactor legacy stored procedures and sprawling MSSQL processes into modern, governed Databricks solutions.
  • Contribute to data platform modernization initiatives, including medallion architecture, data quality, and governance practices.
  • Collaborate with the client’s team and our Analytics Engineers to deliver high-quality, production-ready data assets.
  • Work in a client-facing consulting environment: gather requirements, provide recommendations, and professionally push back when needed to ensure the best technical outcomes.
  • Apply broad data engineering skills (pipelining, orchestration, cloud infrastructure) while deepening your expertise in the modern data stack.

Requirements

What you’ll need
  • 5+ years of experience
  • Programming Languages: Python, Java, Scala or Golang
  • Cloud Providers: AWS, GCP, Azure (Azure is preferred)
  • Data Warehousing: Snowflake, Databricks, Redshift, Greenplum, Oracle, DB2 or similar (Must have experience with Snowflake or Databricks)
  • Data Pipelining Tools: Snowplow, Fivetran, dbt, Talend
  • Relational Databases: Oracle, PostgreSQL, MySQL, Microsoft or similar
  • NoSQL Databases: MongoDB (Atlas), Cassandra, DynamoDB or similar
  • Streaming Technologies: Kinesis, Kafka or Google PubSub or similar
  • Containers & Container Orchestration: Docker & Kubernetes
  • Workflow Orchestration: Airflow, Cadence Workflow
  • OS: Linux, MacOS
  • Version Control: Git
  • Big Data stack: Spark, EMR, Hadoop, Hive, Presto
  • Fluent in English
  • Excellent client-facing interaction skills
  • Comfortable working in a distributed team
  • Agile environment adaptability
  • Self-starter and pride in work

Benefits

Comp & perks
  • We support your growth with dedicated learning time, access to top-notch resources and a knowledge-sharing culture;
  • You work autonomously here in a wholesome environment and get as much paid holiday as you need;
  • The projects are diverse and give you plenty of opportunity to experiment with new tech;
  • The benefits are plenty, with private health insurance, work-from-home budget, a company MacBook and more on the list.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonJavaScalaGolangDatabricksSnowflakeAirflowDockerKubernetesSpark
Soft Skills
client-facing interactioncollaborationrequirements gatheringrecommendation skillsprofessional push backadaptabilityself-starterpride in workcomfortable in distributed teamscommunication