UNUnitforce Technologies Consulting
EMR _ Spark SME
Bangalore ₹2-5 LPA Posted 14 Aug 2025
FULL TIME
glue
Docker
S3
Kubernetes
Redshift
+1 more
Job Description
Technical Skills:
- 5+ years of experience in big data technologies with hands-on expertise in AWS EMR and Apache Spark.
- Proficiency in Spark Core, Spark SQL, and Spark Streaming for large-scale data processing.
- Strong experience with data formats (Parquet, Avro, JSON) and data storage solutions (Amazon S3, HDFS).
- Solid understanding of distributed systems architecture and cluster resource management (YARN).
- Familiarity with AWS services (S3, IAM, Lambda, Glue, Redshift, Athena).
- Experience in scripting and programming languages such as Python, Scala, and Java.
- Knowledge of containerization and orchestration (Docker, Kubernetes) is a plus.
- Architect and develop scalable data processing solutions using AWS EMR and Apache Spark.
- Optimize and tune Spark jobs for performance and cost efficiency on EMR clusters.
- Monitor, troubleshoot, and resolve issues related to EMR and Spark workloads.
- Implement best practices for cluster management, data partitioning, and job execution.
- Collaborate with data engineering and analytics teams to integrate Spark solutions with broader data ecosystems (S3, RDS, Redshift, Glue, etc.).
- Automate deployments and cluster management using infrastructure-as-code tools like CloudFormation, Terraform, and CI/CD pipelines.
- Ensure data security and governance in EMR and Spark environments in compliance with company policies.
- Provide technical leadership and mentorship to junior engineers and data analysts.
- Stay current with new AWS EMR features and Spark versions to recommend improvements and upgrades.
- Requirements and Skills
- Performance tuning and optimization of Spark jobs.
- Problem-solving skills with the ability to diagnose and resolve complex technical issues.
- Strong experience with version control systems (Git) and CI/CD pipelines.
- Excellent communication skills to explain technical concepts to both technical and non-technical audiences.
- Qualification:
- Education qualification: B.Tech, BE, BCA, MCA, M. Tech or equivalent technical degree from a reputed college.
- Certifications:
- AWS Certified Solutions Architect Associate/Professional
- AWS Certified Data Analytics Specialty