Syncredible Solutions
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include 8–12+ years in Data Engineering, expertise in Snowflake, Redshift, AWS Athena, and Python.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
600
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🗓️ - Date
May 30, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Clustering #Python #Redshift #AWS (Amazon Web Services) #Data Lakehouse #Data Processing #Data Lake #Snowflake #Scala #"ETL (Extract #Transform #Load)" #Cloud #Data Pipeline #Data Engineering #SQL (Structured Query Language) #Data Modeling #Data Vault #Amazon Redshift #BI (Business Intelligence) #Code Reviews #Vault #Data Ingestion #Airflow #Data Quality #GIT #Version Control #Microsoft Power BI #Scripting #Athena #MS SQL (Microsoft SQL Server) #S3 (Amazon Simple Storage Service) #Datasets #EDW (Enterprise Data Warehouse)
Role description
About the Company:
At Syncredible Solutions, we believe in the transformative power of technology. we specialize in Digital transformation services, Enterprise solutions, Power BI Analytics solutions and staffing services.
We are seeking a Senior Data Engineer who will play a lead role in governing code quality, reviewing data pipelines, and ensuring scalable data product engineering. The candidate will work closely with distributed data teams to enforce best practices across Snowflake, Redshift, AWS Athena, and Python-based data pipelines, while driving robust data modeling and architecture standards.
Key Responsibilities
1. Code Review & Engineering Governance (Primary Focus)
• Lead code reviews across data engineering teams (SQL, Python, ETL pipelines) to ensure:
• Performance optimization (query tuning, partitioning, clustering)
• Maintainability and readability of code
• Adherence to enterprise coding standards and design principles
• Establish and enforce coding standards, review frameworks, and best practices
• Identify anti-patterns in data pipelines and recommend improvements
• Drive adoption of CI/CD, version control, and automated quality checks
1. Data Platform Engineering (Snowflake / AWS / Redshift / Athena)
• Design, review, and optimize data pipelines and transformations across:
• Snowflake (EDW / Data Lakehouse)
• Amazon Redshift & AWS Athena
• Ensure efficient handling of large-scale structured and semi-structured datasets
• Optimize data ingestion, transformation, and consumption layers
• Guide teams in building scalable, cost-efficient cloud data solutions leveraging AWS services
Required Skills & Experience
• 8–12+ years in Data Engineering with strong hands-on coding and review experience
• Strong expertise in:
• Snowflake, Redshift, AWS Athena
• Python (data processing, scripting, frameworks)
• Advanced SQL & query optimization
• Proven experience in:
• Data modeling techniques (Star schema, Snowflake schema, Data Vault)
• ETL/ELT pipeline design and optimization
• Working with AWS data services (S3, Glue, etc.)
• Familiarity with:
• CI/CD pipelines, Git-based workflows
• Orchestration tools (Airflow, etc.)
• Data quality and governance frameworks
Equal Opportunity Statement:
Syncredible Solutions is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
About the Company:
At Syncredible Solutions, we believe in the transformative power of technology. we specialize in Digital transformation services, Enterprise solutions, Power BI Analytics solutions and staffing services.
We are seeking a Senior Data Engineer who will play a lead role in governing code quality, reviewing data pipelines, and ensuring scalable data product engineering. The candidate will work closely with distributed data teams to enforce best practices across Snowflake, Redshift, AWS Athena, and Python-based data pipelines, while driving robust data modeling and architecture standards.
Key Responsibilities
1. Code Review & Engineering Governance (Primary Focus)
• Lead code reviews across data engineering teams (SQL, Python, ETL pipelines) to ensure:
• Performance optimization (query tuning, partitioning, clustering)
• Maintainability and readability of code
• Adherence to enterprise coding standards and design principles
• Establish and enforce coding standards, review frameworks, and best practices
• Identify anti-patterns in data pipelines and recommend improvements
• Drive adoption of CI/CD, version control, and automated quality checks
1. Data Platform Engineering (Snowflake / AWS / Redshift / Athena)
• Design, review, and optimize data pipelines and transformations across:
• Snowflake (EDW / Data Lakehouse)
• Amazon Redshift & AWS Athena
• Ensure efficient handling of large-scale structured and semi-structured datasets
• Optimize data ingestion, transformation, and consumption layers
• Guide teams in building scalable, cost-efficient cloud data solutions leveraging AWS services
Required Skills & Experience
• 8–12+ years in Data Engineering with strong hands-on coding and review experience
• Strong expertise in:
• Snowflake, Redshift, AWS Athena
• Python (data processing, scripting, frameworks)
• Advanced SQL & query optimization
• Proven experience in:
• Data modeling techniques (Star schema, Snowflake schema, Data Vault)
• ETL/ELT pipeline design and optimization
• Working with AWS data services (S3, Glue, etc.)
• Familiarity with:
• CI/CD pipelines, Git-based workflows
• Orchestration tools (Airflow, etc.)
• Data quality and governance frameworks
Equal Opportunity Statement:
Syncredible Solutions is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
