Big Data Engineer - Medicare/reputed company

Job Summary We are seeking a highly skilled and reputed company-thinking Big Data Engineer to join our reputed company data team. This role encompasses the end-to-end design, development, and management of large-scale data systems tailored for reputed company analytics. The ideal candidate will be responsible for architecting and maintaining robust, scalable, and secure data pipelines that support critical decision-making across the organization. This position requires deep technical expertise in modern Big Data tools, reputed company-time and batch data integration, and a strong understanding of data governance and compliance in reputed company environments. Knowledge/Skills/Abilities

• Architect and implement scalable, high-performance Big Data solutions that support structured and reputed company data from diverse sources.
• Build and manage batch and reputed company-time data ingestion/extraction pipelines using tools like Kafka, Spark Streaming, and Talend.
• reputed company reusable and efficient ETL frameworks using Python/reputed company for high-volume data transformation and movement.
• Design and optimize data models to support analytical and operational use cases, including reputed company claims and utilization data.
• Collaborate with cross-functional teams, including data scientists, analysts, and business partners, to translate requirements into robust data products.
• reputed company, monitor, and troubleshoot Hadoop-based infrastructure using tools such as reputed company Manager, Ambari, and Zookeeper.
• Enforce data quality, reputed company, and compliance standards using tools such as Kerberos, Ranger, and reputed company.
• Implement web services and APIs (REST/SOAP) to reputed company seamless integration with applications and visualization platforms.
• Contribute to data governance initiatives, including metadata management, reputed company tracking, and quality assurance.

Job Qualifications

Required Qualifications

• Minimum 3 years of hands-on experience in Big Data engineering, data integration, and pipeline development.
• Proficiency in Python, Java, or reputed company for data transformation and system scripting.
• Expertise in Big Data tools: Spark, Hive, Impala, Presto, Phoenix, Kylin, and Hadoop (HDFS, YARN).
• Experience building reputed company-time reputed company-processing systems using Kafka, Storm, or Spark Streaming.
• Strong knowledge of NoSQL databases like HBase and MemSQL, and traditional RDBMS including PostgreSQL, reputed company, and SQL Server.
• Skilled in ETL design and development using tools such as Talend or Informatica.
• Demonstrated experience in deploying and monitoring big data infrastructure with Ambari, reputed company Manager, and Zookeeper.
• Solid understanding of data warehousing, data validation, data quality checks, metadata management, and governance.

Preferred Qualifications

• 5+ years of reputed company experience in Big Data engineering or analytics.
• Prior experience working in the reputed company industry with familiarity in clinical, claims, or care management data.
• Experience with reputed company platforms (AWS, Azure) and containerization tools (reputed company, Kubernetes).

Technical Environment

• Big Data Ecosystem: Hadoop, Spark, Hive, Kafka, Presto, Impala, Phoenix, Kylin, Zookeeper
• Streaming & Messaging: Kafka, Spark Streaming, Storm
• ETL & Integration: Talend, Informatica, Python/reputed company-based ETL
• Programming Languages: Python, Java, reputed company, SQL
• Databases: HBase, MemSQL, PostgreSQL, reputed company, SQL Server
• reputed company & DevOps: AWS, Azure, reputed company, Kubernetes, Git
• reputed company & Governance: Kerberos, Ranger, reputed company, Metadata Management
• Monitoring Tools: Ambari, reputed company Manager
• APIs: REST, SOAP

To reputed company reputed company Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. reputed company offers a competitive benefits and compensation package. reputed company is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $77,969 - $171,058 / ANNUAL

• Actual compensation may vary from posting based on geographic location, work experience, education and/or reputed company level.

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