
Big Data Development Specialist
2 weeks ago
Job Title:
Leading Data Engineer
We are seeking a seasoned data engineer to spearhead our big data initiatives.
Key Responsibilities:
- Design, develop, and maintain scalable big data solutions using Hadoop ecosystem, Spark, and other distributed frameworks.
- Build and optimize data pipelines for batch and real-time data processing.
- Collaborate with data scientists, analysts, and other developers to integrate data-driven solutions into production.
- Write efficient, testable, and reusable code using Java or Python.
- Work closely with DevOps teams to deploy and monitor applications on cloud/on-prem infrastructure.
- Ensure data integrity, security, and performance tuning of large-scale data systems.
Required Skills and Qualifications:
- Strong programming skills in Java or Python (both is a plus).
- Hands-on experience with Big Data technologies such as Hadoop, Hive, HDFS, Spark, Kafka, etc.
- Familiarity with data modeling, ETL pipelines, and data warehousing concepts.
- Good understanding of SQL and NoSQL databases.
- Experience with cloud platforms such as AWS, GCP, or Azure is a plus.
- Knowledge of CI/CD tools and containerization (Docker/Kubernetes) is desirable.
Benefits:
- Opportunity to work with cutting-edge big data technologies.
- Collaborative and innovative work environment.
- Competitive compensation and benefits.
- Immediate onboarding for early joiners.
Why Choose Us?
- Our team is passionate about delivering high-quality solutions that make a real impact.
- We offer a collaborative and dynamic work environment that fosters growth and innovation.
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