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Data Engineer with Clickhouse

Bellevue, WA, US • Posted 1 hour ago • Updated 1 hour ago

Contract W2

12 Months

No Travel Required

On-site

Depends on Experience

Fitment

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Job Details

Skills

Data Engineer
Azure
Clickhouse
Apache Hadoop
ADF
Databricks
HDFS
SQL
Python
Microsoft Azure

Summary

Job Description

Mandatory Primary Skills: Hadoop, Python, Databricks, Click house DB , ADLS, SQL + Azure cloud technologies above all with Azure (such as ADF, Databricks, Log Analytics, Logic App, Key Vault, Blob Storage, ADLS, etc.)

Secondary Skills: Snowflake ,

Detailed JD as below.

We run a near real-time analytics platform for mobile network data, ingesting billions of rows a day from Azure Data Lake/HDFS into Click House and serving subscriber-level queries back to internal APIs in tens of milliseconds. We are expanding the platform footprint to support additional use cases by adding more datasets
Data Engineer would work on: extending the Python ingestion framework that loads from Azure Data Lake/HDFS; table design covering partitioning, sort keys, TTL and materialized views; operational diagnosis of merge behaviour, part counts and replication lag; and integration with Snowflake and Databricks Iceberg alongside the primary feeds.
We need strong analytical SQL and experience with a columnar or MPP database — Click House, Big Query, Redshift or similar.
Python sufficient to own a production ingestion framework rather than write scripts.
Comfort at hundreds of billions of rows, since the failure modes differ from smaller systems.
Cloud object storage and Parquet. Enough Kubernetes to tell whether a problem is the database or the platform underneath it.
Strongly preferred: direct Click House experience, particularly Merge Tree engines and aggregate function states, and telecom data such as DNS , IPFIX, etc.
Click House specifically is uncommon, and we would rather have a strong engineer from an adjacent system than a weak one with the exact keyword.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91099677
Position Id: 9093055
Posted 1 hour ago

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Anuradha Karod

Recruiter @ Talent Groups

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