Dear Job seeker,
Hierarch Soft Technologies Inc. We have an opening with one of our clients for a Senior Hadoop & Snowflake Developer position. This is a 12-month contract opportunity based in Alpharetta, GA, requiring candidates to work onsite 3 days per week. An in-person interview is mandatory for this position.
The client is looking for an experienced Senior Developer with strong hands-on expertise in Hadoop ecosystem technologies, Snowflake development, Python, Java, and SQL. The ideal candidate should have solid experience in big data processing, data warehousing, data modeling, query optimization, and building scalable data engineering solutions.
Position: Senior Hadoop & Snowflake Developer
Location: Alpharetta, GA
Work Arrangement: Hybrid – 3 days onsite per week (Mandatory)
Duration: 12 Months
Interview: In-person interview required
Job Overview
Senior Hadoop & Snowflake Developer will be responsible for designing, developing, and optimizing large-scale data processing solutions using Hadoop and Snowflake technologies. The role involves developing complex data processing workflows, implementing efficient data models, building optimized SQL queries, and ensuring data quality, governance, and security across data platforms.
Key Responsibilities:
Hadoop Development
- Design and implement Hadoop MapReduce jobs for complex data processing requirements.
- Utilize HiveQL for querying, transforming, and manipulating large datasets within the Hadoop ecosystem.
- Leverage Apache Spark for real-time data processing and streaming analytics.
- Develop and optimize distributed data processing applications using PySpark and related technologies.
Snowflake Development
- Design and implement efficient data models within Snowflake to optimize query performance and data accessibility.
- Develop Snowflake views and materialized views to support analytical and reporting requirements.
- Implement data governance policies and practices to maintain data quality, integrity, and security.
- Write and optimize complex SQL queries to extract insights from large datasets.
- Utilize Snowpark and related Snowflake capabilities for data processing and development.
Data Engineering & Optimization
- Develop and maintain data ingestion and transformation processes.
- Implement data quality checks and data validation mechanisms.
- Apply data security and governance best practices.
- Optimize data models, SQL queries, and processing workflows for scalability and performance.
Required Skills & Qualifications
- Strong programming experience in Python, Java, and SQL.
- Deep understanding of the Hadoop ecosystem, including:
- HDFS
- MapReduce
- Hive / HiveQL
- Apache Spark
- PySpark
- Snowpark
- Hands-on expertise in Snowflake architecture, data manipulation, and query optimization.
- Strong understanding of data engineering concepts, including data ingestion, transformation, and data quality validation.
- Experience implementing data security and governance practices.
- Strong data modeling skills and experience designing efficient data warehouse solutions.
- Ability to develop and optimize complex SQL queries for large-scale datasets.
Work Location & Interview Requirements
- Candidates must be available to work onsite in Alpharetta, GA, 3 days per week.
- Candidates must be available for an in-person interview.
- Local or nearby candidates who can meet the onsite and interview requirements are preferred.
If you feel your skills and experience match this position, please don't hesitate to apply or reach out to me for further details.
