Senior Data Engineer

2 weeks ago


Singapore NodeFlair Full time

Job Summary:

Salary
S$9,000 - S$10,000 / Monthly

Job Type

Seniority
Senior

Years of Experience
At least 10 years

Tech Stacks
AWK ETL Informatica Shell Script HDFS Shell Control-M UNIX Git Hive Impala Spark SQL Hadoop Elasticsearch

Role:
Senior Data Engineer

Job level:
More than 10 years of relevant experience (L4)

Key skills:

AS400, Hadoop, Data Lake, SQL, Informatica

Key Responsibilities:

  • Design, develop, and implement data processing pipelines to process large volumes of structured and unstructured data
  • Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, Kudu).
  • Should have good knowledge and working experience in scripting using (Shell script, awk programming, quick automation to integrating any thirdparty tools), BMC monitoring tools
  • Good understanding and knowledge in Data Modelling area using industry standard data model like (FSLDM)
  • Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions
  • It will be good to have experience in working with No SQL as well as virtualized Database Environment
  • Implement data transformations, aggregations, and computations using Spark RDDs, Data Frames, and Datasets, and integrate them with Elasticsearch
  • Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration
  • Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components
  • Flexibility to stretch and take challenges
  • Communication & Interpersonal skills
  • Attitude to learn and execute

Key Requirements:

  • 7+ years of AS400, RPG, CLP & SQL
  • Knowledge of Aldon Change Management System(ACMS) is a must
  • Experience in developing Hadoop
  • Experience in data lake (integration of different data sources into the data lake)
  • SQL Stored Procedures/Queries/Functions
  • Unix Scripting
  • Experience with distributed computing, parallel processing, and working with large datasets
  • Familiarity with big data technologies such as Hadoop, Hive, and HDFS
  • Job Scheduling in Control-M
  • Strong problemsolving and analytical skills with the ability to debug and resolve complex issues
  • Familiarity with version control systems (e.g., Git) and collaborative development workflows
  • Excellent communication and teamwork skills with the ability to work effectively in crossfunctional teams.

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