Big Data Engineer
4 weeks ago
Big Data Engineer with strong exp in Hadoop, Spark, SQL & AWS for one of the Fortune 500 Clients
Company Name : Hum Technologies
Client : One of the Fortune 500 Companies
Location : : Apache NiFi, HDFS, Hive, Impala, Spark, Spark Streaming, Kafka, Java/Scala, SQL, Shell scripting
Roles & Responsibilities :
- Responsible for designing and implementing data pipelines, troubleshooting and mentoring.
- Devise technical solution options aligned to the strategic architecture.
- Design data models / structures to support capital modelling and reporting processes.
- Influence the design and implementation of batched processes to create model inputs and execute models
- Liaise with other projects to achieve synergies through mutually beneficial design / delivery decisions.
- Act as a technical mentor/coach to developers to help them deliver solutions that meet customer requirements and architectural standards.
- Be available to discuss and resolve technical issues with individuals within and without the team.
- Help to embed the use of new technologies to deliver project goals.
- Help to ensure work carried out is in line with quality Skills :
- Strong knowledge of Hadoop/Big Data concepts
- Experience in working with Cloudera clusters is a plus
- Experience in Analysing data sets and creating data models using SQL
- Good working knowledge of Apache Spark with Java/Scala
- Knowledge of Spark Streaming with Kafka
- Must have hands on experience in building ETL pipelines using Apache NiFi
- Must have hands on experience in Impala with Kudu
- Experience in writing transformations using SQL
- Experience in monitoring, debugging and troubleshooting Spark Jobs/Impala Queries in the cluster
- Basic knowledge of Unix shell scripting
- Good to have knowledge of Spring boot, Spring MVC, REST APIs and Microservices.
- Good to have knowledge of AWS Cloud (EC2, IAM, S3, Lambda, CloudWatch etc.)
(ref:hirist.tech)
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