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Senior Data Engineer

Plano, TX, US • Posted 3 hours ago • Updated 3 hours ago

Contract W2

12 Months

No Travel Required

On-site

Depends on Experience

Fitment

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Job Details

Skills

Google Cloud Platform
Data Warehouse
Databricks
DevOps
Dimensional Modeling
Data Integration
Data Modeling
Data Processing
Data Profiling
Continuous Delivery
Continuous Integration
Data Engineering
Data Governance
Cloud Computing
Collaboration
Communication
Conflict Resolution
Amazon Redshift
Amazon Web Services
Apache Kafka
Real-time
Good Clinical Practice
Microsoft Azure
Problem Solving
Python
Scalability
Apache Spark
Snow Flake Schema
Stored Procedures
Streaming
Database
ELT
Extract, Transform, Load
Git
PySpark
SQL

Google Cloud Platform
Data Warehouse
Databricks
DevOps
Dimensional Modeling
Data Integration
Data Modeling
Data Processing
Data Profiling
Continuous Delivery
Continuous Integration
Data Engineering
Data Governance
Cloud Computing
Collaboration
Communication
Conflict Resolution
Amazon Redshift
Amazon Web Services
Apache Kafka
Real-time
Good Clinical Practice
Microsoft Azure
Problem Solving
Python
Scalability
Apache Spark
Snow Flake Schema
Stored Procedures
Streaming
Database
ELT
Extract, Transform, Load
Git
PySpark
SQL

Summary

Senior Data Engineer – 12+ Years

Position: Senior Data Engineer
Experience: 12+ Years
Employment Type: W2

Job Description:

We are looking for a highly experienced Senior Data Engineer with 12+ years of expertise in designing, developing, and maintaining scalable data platforms and enterprise data pipelines. The ideal candidate should have strong hands-on experience with cloud data technologies, ETL/ELT, distributed processing, and modern data architectures.

Key Responsibilities:

Design and develop scalable ETL/ELT data pipelines for large-volume datasets.
Build and maintain data solutions using Python, SQL, and Spark/PySpark.
Develop data pipelines using AWS/Azure/Google Cloud Platform cloud services.
Work with data warehouses such as Snowflake, Redshift, BigQuery, or Azure Synapse.
Develop and optimize complex SQL queries, stored procedures, and data transformations.
Implement data integration using tools such as AWS Glue, Azure Data Factory, Databricks, or Airflow.
Perform data modeling, data profiling, cleansing, validation, and quality checks.
Work with both batch and real-time/streaming data processing.
Optimize data pipelines for performance, scalability, reliability, and cost.
Implement monitoring, logging, error handling, and troubleshooting for production pipelines.
Collaborate with architects, analysts, application teams, and business stakeholders.
Follow best practices for CI/CD, Git, DevOps, security, and data governance.

Required Skills:

12+ years of overall experience in Data Engineering.
Strong Python and SQL programming skills.
Strong experience with Apache Spark / PySpark.
Hands-on experience with at least one major cloud platform: AWS, Azure, or Google Cloud Platform.
Strong experience with cloud data warehouses, preferably Snowflake.
Experience with ETL/ELT and data pipeline development.
Experience with Airflow, AWS Glue, Azure Data Factory, or Databricks.
Strong understanding of data modeling, dimensional modeling, and database concepts.
Experience with Kafka or other streaming technologies is preferred.
Experience with Git and CI/CD pipelines.
Excellent troubleshooting, communication, and problem-solving skills.

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: 10477291
Position Id: 9085027
Posted 3 hours ago

Contact the job poster

Rahul Chourasia

Recruiter @ Raas Infotek LLC

View Profile

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