Jr. Data Engineer

Horizontal Talent

Arlington, VA, United States

22 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Starter

Experience required

1 year minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Java (Programming Language) Adobe InDesign Airflow Microsoft Azure Big Data BigQuery Cloud Database Data Governance Data Infrastructure Extract Transform Load (ETL) Data Systems Relational Databases

+27 more

Apache Hadoop Hadoop Distributed File System Apache HBase Apache Hive Python (Programming Language) PostgreSQL Messaging Application Programming Interface Microsoft SQL Server MongoDB MySQL NoSQL Oracle (Applications) Performance Tuning Talend Data Ingestion Apache Spark Indexer Collibra Cassandra Apache Kafka Apache Nifi Spark Streaming Data Management Data Pipelines Amazon Redshift Programming Languages Microservices

Job description

Are you passionate about building modern data solutions that power real business impact? This Junior Data Engineer opportunity offers hands-on work with big data technologies, cloud platforms, and data pipelines in a collaborative environment with flexibility to work remotely or onsite as needed., * Support the design, development, and implementation of data ingestion, integration, and transformation solutions.

Build and maintain batch and real-time data pipelines across multiple data sources.
Work with big data frameworks and tools to support analytics, search, and aggregation use cases.
Collaborate with technical teams to translate business needs into practical data engineering solutions.
Contribute to performance tuning, optimization, and ongoing improvements of data workflows.
Participate in design discussions and help ensure the stability and health of the overall solution.
Support cloud-based data platform activities and related infrastructure needs.

Requirements

1-3 years of overall experience, including at least 1 year of relevant big data experience.
Hands-on experience with Hadoop ecosystem tools and technologies such as HDFS, Kafka, Spark, Spark Streaming, Hive, NiFi, Airflow, or similar components.
Working knowledge of at least one programming language: Java, Python, or Scala.
Experience with NoSQL and MPP data platforms such as HBase, MongoDB, Cassandra, Redshift, Azure SQLDW, or BigQuery.
Practical experience with AWS data platform services.
Ability to work effectively in a team-oriented environment and communicate technical concepts clearly., * Experience with ETL tools such as Informatica or Talend.
Knowledge of relational databases such as Oracle, MySQL, SQL Server, or PostgreSQL.
Familiarity with data governance practices, including security, lineage, and cataloging.
Exposure to tools such as Collibra or Alation.
Understanding of distributed messaging frameworks, microservices, search, and indexing technologies.
Experience with performance tuning and optimization of data pipelines.
Cloud data certifications or other relevant big data credentials.