Jr. Data Engineer

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.
Responsibilities

• 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.

Skills

• 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 No
  
  SQL and MPP data platforms such as HBase, MongoDB, Cassandra, Redshift, Azure SQLDW, or Big Query.
• Practical experience with AWS data platform services.
• Ability to work effectively in a team-oriented environment and communicate technical concepts clearly.

Preferred Skills

• 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.

Horizontal is committed to fostering an inclusive workplace where all individuals are valued, respected, and supported. We welcome applicants from all backgrounds and encourage a culture of equity, belonging, and opportunity for everyone.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.