- Role: Big Data Engineer Job in USA
- Experience: 5 – 10 years
- Salary: Not Disclosed
- Location: United States (USA)
- Employment Type: Full Time, Permanent
- Education: UG: Any Graduate, B.Tech/B.E. in Production/Industrial, PG: Any Postgraduate
- Doctorate: Doctorate Not Required
About 5D Solution Company
We are a software offering employer-building custom answers suited to our consumer’s commercial enterprise desires. Starting from ideation to release, we walk every step with our customers making sure that we execute and supply exceptional software merchandise consistent with their commercial enterprise dreams and vision.
Big Data Engineer Job in USA Description
A Big Data Engineer is a specialized position in the field of data science and engineering, that specializes in designing, developing, and preserving scalable large statistics infrastructure and pipelines. These experts are critical for processing huge volumes of statistics successfully, which businesses use to gain insights and make data-pushed decisions.
Big Data Engineer Job in USA Roles and Responsibilities
Design and Develop Big Data Solutions:
Architect scalable statistics processing structures using Hadoop, Spark, and other big records technologies.
Develop, take a look at, and implement complex facts processing workflows and statistics pipelines.
Ensure the layout meets the scalability, robustness, and safety necessities.
Data Integration:
Integrate information from numerous resources into the huge data platform.
Develop and hold ETL (Extract, Transform, Load) techniques.
Data Storage and Management:
Manage facts lakes and records warehouses to ensure green garage and retrieval of huge datasets.
Optimize information garage solutions for overall performance and fee.
Performance Tuning and Optimization:
Analyze and optimize huge records answers for performance problems.
Implement exceptional practices for big records control, inclusive of records partitioning and indexing.
Collaboration:
Work closely with records scientists, analysts, and other stakeholders to understand information requirements.
Collaborate with IT and software program development groups to integrate huge information solutions into the prevailing systems.
Monitoring and Maintenance:
Monitor huge statistics solutions for reliability and overall performance.
Troubleshoot and remedy troubles with data processing and storage structures.
Documentation and Reporting:
Document system designs, approaches, and workflows.
Create and preserve reviews on information processing overall performance and problems.
Big Data Engineer Job in USA Required Skills
Technical Skills:
Programming Languages: Proficiency in programming languages along with Java, Scala, and Python.
Big Data Technologies: Deep expertise in Hadoop atmosphere (HDFS, MapReduce, HBase), Spark, Kafka, Hive, Pig, and related technology.
Database Systems: Experience with NoSQL databases (Cassandra, MongoDB) and relational databases (SQL).
ETL Tools: Experience with ETL gear and frameworks (Talend, Informatica).
Cloud Platforms: Familiarity with cloud services (AWS, Google Cloud, Azure) and their large statistics services.
Analytical Skills:
Strong analytical and problem-solving talents to cope with complex records processing challenges.
Ability to design green algorithms for information processing and analysis.
Soft Skills:
Communication: Excellent written and verbal verbal exchange abilities to convey technical facts efficaciously.
Collaboration: Ability to paint nicely in a crew and throughout departments.
Adaptability: Flexibility to conform to converting generation landscapes and commercial enterprise requirements.
Education and Qualification
Educational Background:
A bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field is usually required.
A master’s degree in an applicable discipline or certifications in huge statistics technology may be wonderful.
Certifications:
Certifications in big records technology (e.g., Cloudera Certified Professional, Hortonworks Data Platform Certified) are distinctly appropriate.
Cloud certification (e.g., AWS Certified Big Data – Specialty, Google Cloud Professional Data Engineer).
Experience:
At least three years of revel in software development or records engineering.
Hands-on experience with huge facts technology and frameworks.
Key Responsibilities
System Architecture:
Architecting and enforcing scalable records processing systems.
Ensuring information integrity, safety, and compliance.
Data Pipeline Development:
Building and keeping sturdy information pipelines.
Automating records processing responsibilities and workflows.
Data Quality and Governance:
Implementing statistics fine tests and facts governance regulations.
Ensuring the records are correct, steady, and reliable.
Performance Monitoring:
Continuously tracking the machine’s overall performance.
Implementing improvements to decorate records processing efficiency.
Innovation and Research:
Keeping up to date with the state-of-the-art tendencies and advancements in large data technologies.
Experimenting with new equipment and technologies to improve existing structures.
Apply Now: Big Data Engineer Job in the USA
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