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Senior Data Engineer

Plano, TX, US • Posted 4 hours ago • Updated 4 hours ago

Contract W2

12 Months

No Travel Required

On-site

$60 - $65/hr

Fitment

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Job Details

Skills

PySpark
Meta-data Management
Microsoft Azure
Microsoft SQL Server
Informatica PowerCenter
Mentorship
Oracle
Google Cloud Platform
IaaS
Informatica
Jenkins
Extract, Transform, Load
GitHub
Good Clinical Practice
Database
Databricks
DevOps
ELT
Data Profiling
Data Quality
Data Security
Data Warehouse
Data Engineering
Data Governance
Data Processing
Conflict Resolution
Continuous Delivery
Continuous Integration
Cloud Computing
Collaboration
Communication
Analytical Skill
Apache Kafka
Apache Spark
BMC Control-M
ADF
Agile
Streaming
Technical Writing
SQL
Scalability
Scrum
Snow Flake Schema
PostgreSQL
Problem Solving
Python
Regulatory Compliance
Amazon Redshift
Amazon Web Services
Git
Orchestration
Talend
Teradata
Terraform
Unstructured Data
Version Control
Workflow

PySpark
Meta-data Management
Microsoft Azure
Microsoft SQL Server
Informatica PowerCenter
Mentorship
Oracle
Google Cloud Platform
IaaS
Informatica
Jenkins
Extract, Transform, Load
GitHub
Good Clinical Practice
Database
Databricks
DevOps
ELT
Data Profiling
Data Quality
Data Security
Data Warehouse
Data Engineering
Data Governance
Data Processing
Conflict Resolution
Continuous Delivery
Continuous Integration
Cloud Computing
Collaboration
Communication
Analytical Skill
Apache Kafka
Apache Spark
BMC Control-M
ADF
Agile
Streaming
Technical Writing
SQL
Scalability
Scrum
Snow Flake Schema
PostgreSQL
Problem Solving
Python
Regulatory Compliance
Amazon Redshift
Amazon Web Services
Git
Orchestration
Talend
Teradata
Terraform
Unstructured Data
Version Control
Workflow

Summary

Position: Senior Data Engineer
Experience: 10+ Years
Employment Type: Contract W2

Job Summary

We are looking for an experienced Senior Data Engineer with 10+ years of experience in designing, developing, and maintaining scalable data pipelines and enterprise data platforms. The ideal candidate should have strong expertise in Python, SQL, PySpark, ETL/ELT, cloud platforms, data warehousing, and modern data engineering technologies.

Key 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.

Required Skills

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.
Strong experience with Databricks / Spark and distributed data processing.
Experience with Snowflake, BigQuery, Redshift, Teradata, Oracle, or PostgreSQL.
Experience with data lakes, data warehouses, and lakehouse architecture.
Knowledge of Kafka or other streaming technologies is preferred.
Experience with Git and CI/CD tools.
Strong troubleshooting, analytical, and problem-solving skills.
Excellent communication and collaboration skills.

Preferred Skills

Experience with Informatica PowerCenter/IICS/IDMC, Talend, AWS Glue, ADF, or similar ETL tools.
Experience with Airflow, Control-M, or other workflow orchestration tools.
Knowledge of Terraform and cloud infrastructure.
Experience with Delta Lake / Delta Live Tables.
Knowledge of data governance, metadata management, and data quality frameworks.
Experience working in Agile/Scrum environments.

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: 9094678
Posted 4 hours ago

Contact the job poster

Rahul Chourasia

Recruiter @ Raas Infotek LLC

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