Big Data Engineer

3 weeks ago


Anywhere in IndiaMultiple LocationsRemote, IN Hum Technologies Full time

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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