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# Hadoop Developer

- **Company:** Acestack Llc
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Automation of Tests, Microsoft Azure, Unix, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Security, Distributed Computing Environment, Distributed Data Store, Apache Hadoop, Monitoring of Systems, Apache Hive, Python (Programming Language), Metadata, Microsoft SQL Server, Performance Tuning, Software Engineering, SQL Databases, Teradata SQL, Cloud Platform System, Test-Driven Development (TDD), Data Ingestion, Delivery Pipeline, Snowflake, Apache Spark, Git, Pyspark, Data Lineage, Deployment Automation, Apache Kafka, Software Version Control, Data Pipelines, Databricks
- **Published:** August 6, 2026
- **Apply:** https://www.careerjet.com/jobad/us8cf103ce5f8a62f07e803a424b7d069d

## About the Role

Primary Skill: PySpark, Hive, Python, SQL, Hadoop
Secondary: Unix, Agile, Base support
Roles & Responsibilities

 * 5+ years of experience in Data Engineering, Software Engineering, or related technical discipline.
 * Strong proficiency in Python, and SQL for advanced data transformations.
 * Hands-on experience designing and building ETL/ELT pipelines, data ingestion processes, and distributed data processing jobs.
 * Practical experience working with distributed data tools such as Apache Spark, Databricks, or Hadoop ecosystems.
 * Experience building and managing datasets in relational and/or cloud-based data platforms (Teradata, Snowflake, SQL Server, Azure/AWS/GCP).
 * Solid understanding of data modeling, metadata, data quality controls, data lineage, and secure data management.
 * Experience contributing to automated test suites, analyzing test failures, and supporting test-driven development.
 * Knowledge of CI/CD pipelines, version control (Git), and automated deployment practices.
 * Experience adhering to enterprise data governance, compliance, and operational risk frameworks.
 * Ability to troubleshoot pipeline issues, performance bottlenecks, and data discrepancies.
 * Strong communication skills and ability to collaborate across engineering, product, and business teams.
 * Experience implementing monitoring and observability for data pipelines (logs, metrics, health checks).
 * Advanced experience with performance tuning of SQL, Spark, or distributed data workflows.
 * Knowledge of data security practices (encryption, masking, PII handling).
 * Experience supporting analytical workloads, BI tools, or data science teams.
 * Prior experience in a financial institution or other regulated industry., Primary Skill: PySpark, Hive, Python, SQL Secondary: Unix, Kafka, Java Roles & Responsibilities: We are seeking a highly experienced Hadoop Spark Developer with 10+ years of ex…
 + 23 hours ago



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