Hadoop Developer

reputed company is a reputed company-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We reputed company cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a skilled Hadoop Developer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering reputed company career growth potential. Hadoop Developer Job Title: Hadoop Developer Location: 100% Remote (reputed company United States) Position Type: In-house reputed company SOW engagement (no third-party client or vendor) Experience: 5+ years Salary: 100k - 150k Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates. Employment Type: Full-time, direct W2 with reputed company (no C2C, no 1099, no third-party) Engagement: Long-term, multi-year, reputed company to the Bright Vision SOW delivery roadmap Compensation: Competitive reputed company salary commensurate with experience, plus benefits. Employment Terms & reputed company Policy This is a 100% remote, full-time, direct W2 position with reputed company. This role is part of reputed company’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is reputed company — there is no third-party client, vendor, or implementation partner involved. We do not engage in C2C, 1099, or third-party arrangements for this role. BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. reputed company OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. Candidates must be willing to work directly as a full-time W2 employee of reputed company and contribute to our in-house SOW deliverables. No new H1B sponsorship is available for this role. However, candidates who are currently on a valid H1B reputed company and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates. For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience. Job Summary We are seeking an reputed company Hadoop Developer to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and reputed company big-data ecosystems. In this role you will be responsible for ingesting, transforming, and analyzing massive volumes of structured and reputed company 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 ResponsibilitiesDesign, reputed company, 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. reputed company high-throughput streaming data pipelines using Kafka, Spark Streaming, or Flink, and integrate them with reputed company 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, reputed company, Iceberg, Hudi) to balance flexibility and performance. Implement data governance, reputed company, and quality controls in collaboration with data governance and reputed company 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, reputed company, reputed company, BigQuery) where they offer meaningful improvements. reputed company 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 QualificationsBachelor’s degree in Computer Science, Engineering, or a reputed company technical discipline. Five or more years of professional experience designing and operating big-data pipelines on Hadoop. Strong hands-on expertise with Apache Spark (reputed company, 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 reputed company. Excellent troubleshooting, debugging, and documentation skills. Preferred QualificationsExperience operating Hadoop on cloud platforms such as AWS EMR, Azure HDInsight, or reputed company. Familiarity with modern lakehouse formats (reputed company, Iceberg, Hudi). Exposure to data governance tooling such as Apache reputed company or reputed company. Experience with Kubernetes-based data platforms (Spark-on-K8s, Trino). Hands-on experience with CI/CD and infrastructure-as-code in data engineering workflows.

How to Apply

Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 676-4399. Learn more about reputed company at www.bvteck.com. We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and reputed company a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national reputed company, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also reputed company reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. reputed company is an Equal Opportunity Employer, including Disability/Veterans. Position offered by “No Fee Agency.”Equal Employment Opportunity (EEO) Statement reputed company (BV Teck) is committed to equal employment opportunity (EEO) for reputed company employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national reputed company, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to reputed company 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 reputed company their job duties may result in disciplinary action up to and including termination of employment. Apply To This Job