| Need of Big Data Engineer at phoenix, Az at Phoenix, Arizona, USA |
| Email: [email protected] |
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From: Lokesh, Siri Info Solutions Inc [email protected] Reply to: [email protected] Hello , My Name is Lokesh . I am reaching out to you today because we have your resume in our database and wanted to check if you are currently available in the market actively looking for an opportunity. Please see the below mentioned requirement and I believe you would be a good match for the role. I would appreciate if you could respond with your updated resume along with the good time to speak so we can move forward with the process. Job Title: Big Data Engineer Job Location : phoenix, Az Key Responsibilities: Data Architecture & Design: Design and implement scalable, high-performance data systems and pipelines to support large datasets, data processing, and analytical workflows. Data Processing: Develop and manage ETL (Extract, Transform, Load) pipelines for data ingestion, processing, and transformation. Utilize big data technologies such as Apache Hadoop, Spark, Kafka, and other related frameworks. Data Storage: Implement and manage data storage solutions using both relational and NoSQL databases (e.g., HDFS, Hive, Cassandra, MongoDB, etc.). Data Integration: Integrate data from various structured and unstructured sources, ensuring that data is accurately transformed and processed. Optimization & Performance Tuning: Monitor, optimize, and troubleshoot the performance of big data pipelines and systems to ensure efficient and reliable data processing. Collaboration: Collaborate with data scientists, analysts, and other team members to understand data requirements and provide data-driven solutions for business needs. Data Security: Ensure proper security measures are in place to protect sensitive data in compliance with company policies and industry regulations. Documentation: Document data pipelines, architectures, and workflows for team reference and future scalability. Required Skills and Qualifications: Bachelor s or Master s degree in Computer Science, Information Technology, Engineering, or a related field. Proven experience as a Big Data Engineer, Data Engineer, or in a similar role working with large datasets. Strong experience with big data technologies like Hadoop, Spark, Kafka, Flume, Hive, and HBase. Proficiency in programming languages such as Java, Python, Scala, or similar. Solid understanding of data modeling and data warehousing concepts. Experience with ETL tools and data pipeline orchestration frameworks (e.g., Apache Airflow, NiFi). Familiarity with cloud platforms like AWS, Azure, or Google Cloud for managing big data workloads. Expertise in database technologies such as SQL, NoSQL, and data storage platforms (e.g., Cassandra, MongoDB, MySQL, PostgreSQL). Strong analytical skills and the ability to troubleshoot complex data-related issues. Experience with containerization technologies (e.g., Docker, Kubernetes) is a plus. Excellent communication and teamwork skills to work in cross-functional teams. Preferred Skills: Knowledge of Machine Learning or data science concepts and frameworks. Experience working in Agile environments. Familiarity with DevOps practices and automation tools. BEST REGARDS LOKESH Technical Recruiter Siri InfoSolutions Inc., MWBE Certified E-Mail [email protected] Keywords: access management Arizona Need of Big Data Engineer at phoenix, Az [email protected] |
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| 01:16 AM 04-Dec-24 |