Hadoop Solutions Developer

Bright Vision Technologies; Deutschland; Vor Ort; EUR 87.573 - 131.359; Vollzeit

Zusammenfassung

Bright Vision Technologies is seeking an experienced Hadoop Solutions Developer to design, build, and operate large-scale data pipelines on Hadoop and related ecosystems. You will ingest, transform, and analyze massive data volumes to support analytics, ML, and reporting workloads.

The ideal candidate combines deep Hadoop expertise with software engineering fundamentals to deliver reliable, cost-effective data platforms in production environments.

Qualifikationen

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Five or more years designing and operating big-data pipelines on Hadoop.
• Strong hands-on Apache Spark (Scala, Python, or Java) in production.
• Solid experience with Hive, HDFS, Sqoop, HBase, and Hadoop ecosystem.
• Hands-on experience with streaming platforms such as Kafka, Spark Streaming, or Flink.
• Strong SQL skills and experience with relational and NoSQL stores.
• Experience with workflow orchestration tools such as Airflow or Oozie.
• Understanding of distributed systems concepts like partitioning and fault tolerance.
• Strong scripting skills in Python or Shell.
• Excellent troubleshooting, debugging, and documentation skills.

Aufgaben

• Design, develop, and operate end-to-end big-data pipelines on Hadoop.
• Build robust ETL/ELT workflows using Spark, Hive, Pig, and Sqoop.
• Develop high-throughput streaming data pipelines using Kafka, Spark Streaming, or Flink.
• Optimize Spark/MapReduce jobs for performance and cost.
• Maintain data models and storage layouts on HDFS, Hive, HBase, and lakehouse formats.
• Implement data governance, lineage, and quality controls.
• Build monitoring, alerting, and logging for pipelines with SLAs.
• Collaborate with data scientists to provide reliable datasets.
• Automate pipeline orchestration with Airflow, Oozie, or similar.
• Evaluate new technologies (EMR, Databricks, Snowflake, BigQuery).
• Lead performance reviews and architecture audits of pipelines.
• Document architectures and runbooks; mentor junior engineers.

Kenntnisse

Hadoop

Apache Spark

Hive

HDFS

Kafka

Flink

Python

Shell

SQL

NoSQL

Distributed systems

Ausbildung

Bachelor's degree in CS/Engineering

Tools

Airflow

Oozie

Sqoop

Kubernetes

CI/CD

Jobbeschreibung

Hadoop Solutions Developer - Remote

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Summary

We are seeking an experienced Hadoop Developer to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems. In this role you will be responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads. The ideal candidate will combine deep technical expertise across the Hadoop ecosystem with strong software engineering fundamentals and a clear understanding of how to deliver reliable, performant, and cost-effective data platforms in production environments.

Key Responsibilities

• Design, develop, and operate end-to-end big-data pipelines on Hadoop, ingesting data from a diverse mix of relational, file-based, streaming, and API-driven sources.
• Build robust ETL/ELT workflows using Apache Spark, Hive, Pig, and Sqoop, with strong attention to data quality, idempotency, error handling, and recoverability.
• Develop high-throughput streaming data pipelines using Kafka, Spark Streaming, or Flink, and integrate them with downstream analytical and operational systems.
• Optimize Spark and MapReduce jobs through careful tuning of partitioning, memory, serialization, and skew handling to meet demanding SLAs at minimal cost.
• Design and maintain data models and storage layouts on HDFS, Hive, HBase, and modern lakehouse formats (Parquet, ORC, Delta, Iceberg, Hudi) to balance flexibility and performance.
• Implement data governance, lineage, and quality controls in collaboration with data governance and security teams.
• Build robust monitoring, alerting, and logging strategies for big-data pipelines, including job-level SLAs and proactive failure detection.
• Partner with data scientists and analysts to deliver curated, reliable, and well-documented datasets that accelerate their work.
• Automate pipeline orchestration using Airflow, Oozie, or similar workflow engines, with clean dependency management and clear ownership boundaries.
• Continuously evaluate and adopt new technologies in the big-data and cloud ecosystem (EMR, Databricks, Snowflake, BigQuery) where they offer meaningful improvements.
• Lead performance reviews and architecture audits of existing pipelines, proposing concrete refactoring and optimization initiatives.
• Document data architectures, schemas, pipeline behaviors, and operational runbooks in a way that makes the platform supportable as the team scales.
• Mentor junior engineers and contribute to the team’s engineering standards and best practices.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
• Five or more years of professional experience designing and operating big-data pipelines on Hadoop.
• Strong hands‑on expertise with Apache Spark (Scala, Python, or Java) in production environments.
• Solid experience with Hive, HDFS, Sqoop, HBase, and the broader Hadoop ecosystem.
• Hands‑on experience with streaming data platforms such as Kafka, Spark Streaming, or Flink.
• Strong SQL skills and experience working with both relational and NoSQL data stores.
• Experience with workflow orchestration tools such as Airflow or Oozie.
• Solid understanding of distributed systems concepts, including partitioning, replication, and fault tolerance.
• Strong scripting skills in Python or Shell.
• Excellent troubleshooting, debugging, and documentation skills.

Preferred Qualifications

• Experience operating Hadoop on cloud platforms such as AWS EMR, Azure HDInsight, or Databricks.
• Familiarity with modern lakehouse formats (Delta, Iceberg, Hudi).
• Exposure to data governance tooling such as Apache Atlas or Collibra.
• Experience with Kubernetes-based data platforms (Spark-on-K8s, Trino).
• Hands‑on experience with CI/CD and infrastructure‑as‑code in data engineering workflows.

Sponsorship

U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Details

Job Title: Hadoop Solutions Developer

Location: 100% Remote (U.S.)

Position Type: Full-time, Direct W2

Salary Range: $100,000–$150,000 Annually

Experience Required: 6+ years

Equal Employment Opportunity Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.