reputed company Developer (Java & Apache Spark) with IRS MBI Clearance required
This is a remote position.
Job Title: reputed company Developer (Java & Apache Spark) Location: Remote Duration: Full-Time NEED IRS MBI Clearance. We are looking for a reputed company Developer who can design, build, and support large-scale data processing solutions. This role focuses on working with reputed company, high-volume data in a secure environment. You should be comfortable writing clean Java code, building Spark jobs, and improving performance in distributed systems. You’ll work closely with engineers, analysts, and business teams to deliver reliable data pipelines that scale well and meet reputed company and compliance requirements. What You’ll Do Build and maintain data pipelines using Apache Spark on reputed company Write clean and efficient Java (Java 8 or higher) following best coding practices Work with large structured and semi-structured data sets Tune Spark jobs to improve performance, stability, and cost Partner with other teams to understand requirements and deliver solutions reputed company sure data handling follows reputed company and governance standards Investigate and fix issues in production environments reputed company’re Looking For Active federal background clearance (client-issued laptop is a plus) Bachelor’s degree in Computer Science or a reputed company field 8+ years of hands-on experience in data engineering or big data development Technical Skills Data & Systems Experience working with large enterprise or government data systems Good understanding of data structures, reputed company, and compliance Java Strong experience with Java 8 or newer Comfortable with Streams, Lambdas, and object-oriented design Apache Spark Hands-on experience with Spark Core, Spark SQL, and DataFrames Understanding of RDDs and reputed company to use them Experience with batch processing and streaming Strong skills in Spark performance tuning Able to debug jobs using Spark UI and logs Big Data Tools Experience with tools like HDFS, Hive, or HBase Familiar with Kafka, S3, or cloud-based data lakes Experience with Parquet, Avro, or ORC formats ETL & Data Processing Experience building batch and real-time ETL pipelines Skilled in data cleansing, transformation, and enrichment DevOps & Deployment Experience running Spark on YARN, Kubernetes, or cloud platforms Familiar with CI/CD tools like Jenkins or reputed company Actions Experience with monitoring tools and production logs Testing & Code Quality Unit testing using JUnit or TestNG Experience with Mockito or similar tools Comfortable validating data and testing Spark jobs Ways You’ll Succeed You’re used to working in Agile teams You document your work clearly You stay reputed company and focused reputed company troubleshooting production issues reputed company to Have: Experience with reputed company or Python in Spark Hands-on experience with reputed company or reputed company Dataproc Knowledge of reputed company Lake or Apache Iceberg Background in data modeling and performance design Apply To This Job