Databricks & Scala Engineer — Onsite in Houston

HCLTech

Houston (TX)

On-site

USD 100,000 - 148,000

Full time

13 days ago
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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Employee Assistance Program
401(k) Plan
Paid Time Off
Holidays

Job summary

HCLTech in Houston, TX is seeking a Databricks/Scala Developer with 10+ years of experience to design and optimize data solutions on Databricks. You will build scalable ETL/ELT pipelines using Scala and Spark, perform data modeling and transformation, and collaborate with business and technical stakeholders to deliver analytics and data solutions.

The role includes production support and performance tuning, with opportunities to work in onsite delivery models and cloud data platforms.

Qualifications

  • 10+ years of experience in data engineering and analytics.
  • Strong hands-on Databricks development and optimization.
  • Proficiency in Scala programming.
  • Advanced SQL skills for data transformation and analysis.
  • Experience building and supporting large-scale data pipelines.
  • Knowledge of Spark and distributed data processing.

Responsibilities

  • Design, develop, and optimize data engineering solutions on Databricks.
  • Build scalable ETL/ELT pipelines using Scala and Spark.
  • Perform data modeling, transformation, and performance tuning.
  • Collaborate with business and technical stakeholders to deliver analytics and data solutions.
  • Support production deployments and resolve performance issues.

Skills

Databricks
Scala
SQL

Job description

HCLTech in Houston, TX is seeking a Databricks/Scala Developer with 10+ years of experience to design and optimize data solutions on Databricks. You will build scalable ETL/ELT pipelines using Scala and Spark, perform data modeling and transformation, and collaborate with business and technical stakeholders to deliver analytics and data solutions.

The role includes production support and performance tuning, with opportunities to work in onsite delivery models and cloud data platforms.

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