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(4+ Years) "BigTapp" Hiring: Data Engineer On Oct 2019 @ Bangalore



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Company:        BigTapp

Website:           www.bigtappanalytics.com

Eligibility:        BE/B.Tech/MCA

Experience:      4+ yrs

Location:          Bangalore

Job Role:         Data Engineer

JOB SUMMARY:

Company Profile:

BigTapp’s Big "InFo ActiV" platform enables creation of Business Analytics applications and deploy on Cloud to enable rapid realisation of business benefits. A suite of Big Data Business Analytics applications developed using the platform under the overarching theme of Customer Value Management enables BigTapp’s customers to get immediate business benefits.

Job Description:
1. Designing architecture, extending process and components that are responsible for the core of BigTapp’s systems, using today’s best practices and modern technologies.

2. Building, optimizing, and maintenance of a high-performance data pipeline for the ingestion of consumer data from multiple sources

3. Ensuring the correctness of data flowing through the data pipeline

4. Productionalizing results from Data Science

5. Code reviews; Maintaining appropriate documentation

6. Discipline of building/deploying containerized applications with Docker, understand how infrastructure as code is built with Terraform or Kubernetes.

7. To absorb an abstract idea and produce a design from concept to production fairly independently.

8. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.

9. Ensuring code has tests to catch gross errors prior to deployment.

Candidate Profile:
Qualifications:

1. BE/B.Tech/MCA

2. Four Year Bachelor’s degree in Computer Science or Engineering.

Experience:
1. 4+ years of professional software development

2. 2+ years working in Big Data

Required Skills:
1. Proficient in Java 8

2. Experience in Data Platform concepts such as Flink, Spark, Beam, Google Dataflow, etc. We use Flink

3. NoSQL usage of Mongodb, Elasticsearch, Cassandra, etc. We use Mongodb and Cassandra

4. Debugging expertise

5. Expert in Golang, Python, Java, C++

6. Experience building and optimizing ‘big data’ pipelines, architectures and data sets.

7. Experience using big data tools: Hadoop, Spark, Kafka, etc.

8. Preferred experience with AWS cloud services: EC2, EMR, RDS, Redshift, stream-processing systems: Storm, Spark-Streaming, etc.

 













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