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Databricks Engineer

Xoriant Corporation
Boston, MA, United States
25 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Adobe InDesign Amazon Web Services Computer Programming Information Engineering Extract Transform Load (ETL) Job Scheduling Standard Sql Scala (Programming Language) Apache Spark Data Pipelines Databricks

Requirements

Core Skills: AWS, Databricks, Scala-Spark Programming, SQL

  • Overall experience 7 to 8 years in Scala-Spark data engineering and Data pipeline design

  • Experience in databricks is required

  • Hands on experience in Design and development of Ingestion pipeline, ETL pipeline and jobs in Databricks. Databricks workspace and cluster configuration and Job scheduling and workflow management
  • Hands on experience in Scala-Spark Development

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:41 min

Visualizing the complex developer journey for JVM ecosystems

Bobur Umurzokov · LIVE

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · World Congress 2026 Europe

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

1:59 min

Key takeaways and accessing the Databricks developer toolkit

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

2:04 min

Comparing offline data analytics with online stream processing

Artem Volk Artem Volk +1 · World Congress 2024

Videos

See all
Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

How building an industry DBMS differs from building a research one thumbnail
30:34
World Congress 2023 • almost 3 years ago

How building an industry DBMS differs from building a research one

Markus Dreseler

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source thumbnail
29:50
World Congress 2026 Europe • about 2 months ago

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source

Viktoria Semaan

Let's Get Aggregated: Custom UDAFs in Spark thumbnail
19:58
World Congress 2025 • about 1 year ago

Let's Get Aggregated: Custom UDAFs in Spark

Nikolai Nikolaev

Parquet, Delta, Iceberg & Ducklake - An introduction for developers thumbnail
28:42
World Congress 2026 Europe • about 2 months ago

Parquet, Delta, Iceberg & Ducklake - An introduction for developers

Matthias Niehoff

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