Senior Data Engineer — Cloud Pipelines & Lakehouse

Raas Infotek LTD

Plano (TX)

On-site

USD 90,000 - 140,000

Full time

2 days ago
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Job summary

Raas Infotek LTD in Plano, TX is seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data pipelines and enterprise data platforms. The ideal candidate will have 10+ years of experience and strong expertise in Python, SQL, PySpark, ETL/ELT, cloud platforms, data warehousing, and modern data engineering technologies.

Responsibilities include building and optimizing ETL/ELT pipelines, developing processing solutions with Python and Spark, and implementing data

Qualifications

  • 10+ years of experience in Data Engineering or related fields.
  • Strong hands-on experience with Python, PySpark, and SQL.
  • Strong understanding of ETL/ELT concepts and data pipeline development.
  • Experience with AWS, Azure, or Google Cloud Platform cloud environments.

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines for large and complex datasets.
  • Develop data processing solutions using Python, PySpark, and SQL.
  • Build and optimize data pipelines using tools such as AWS Glue, Informatica, Azure Data Factory, Databricks, or equivalent technologies.
  • Design and implement data warehouses, data lakes, and lakehouse solutions.
  • Work with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Develop data ingestion and transformation processes from structured and unstructured data sources.
  • Perform data profiling, validation, cleansing, and quality checks.
  • Optimize SQL queries, Spark jobs, and data pipelines for performance and scalability.
  • Work with databases including Oracle, PostgreSQL, SQL Server, Teradata, Snowflake, BigQuery, or Redshift.
  • Implement CI/CD processes and version control using Git, Jenkins, GitHub Actions, or Azure DevOps.
  • Collaborate with Data Architects, Business Analysts, DevOps Engineers, and application teams.
  • Monitor production pipelines, troubleshoot failures, and resolve data-related issues.
  • Ensure data security, governance, lineage, and compliance standards are followed.
  • Participate in architecture discussions, code reviews, technical documentation, and mentoring of junior engineers.

Skills

Python
PySpark
SQL
ETL/ELT
Cloud Platforms
Databricks
Snowflake/BigQuery/Redshift
Data Warehousing/Lakehouse
CI/CD
Git/Jenkins

Tools

AWS Glue
Informatica
Azure Data Factory
Databricks
Jenkins
GitHub Actions
Azure DevOps
Teradata
Oracle
PostgreSQL

Job description

Raas Infotek LTD in Plano, TX is seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data pipelines and enterprise data platforms. The ideal candidate will have 10+ years of experience and strong expertise in Python, SQL, PySpark, ETL/ELT, cloud platforms, data warehousing, and modern data engineering technologies.

Responsibilities include building and optimizing ETL/ELT pipelines, developing processing solutions with Python and Spark, and implementing data

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