Big Data
SQL
Hadoop
Spark
Kafka
Python
Airflow
Data Pipelines
ETL
Java
Scala
📍 Location: Anywhere, DL
Industry: IT
Job Type: Contractual
Experience: from 5 years
Join Helius Technologies as a Data Engineer to build and optimize large-scale big data pipelines. This role involves manipulating complex datasets and working with advanced tools like Hadoop, Spark, and Airflow in a dynamic project environment.
Roles & Responsibilities:
Build and optimize big data pipelines, architectures, and datasets.
Extract value from large disconnected datasets using Hadoop, Spark, and Kafka.
Author complex SQL queries and manage relational databases like Oracle or Postgres.
Work with stream-processing systems such as Storm or Spark-Streaming.
Collaborate with cross-functional teams to support data-driven decision making.
Requirements:
Over 5 years of professional experience in a Data Engineer role.
Advanced knowledge of SQL and experience with workflow tools like Airflow or Luigi.
Strong scripting skills in Python, Java, Scala, or C++.
Degree in Computer Science, Statistics, or a related quantitative field.
Excellent communication and organizational skills for senior-level collaboration.
Perks & Benefits:
Yearly renewable contract on Helius Payroll.
Exposure to international projects and Singapore-based workflows.
Opportunity to work with cutting-edge Big Data technologies.
Additional Information:
Experience with visualization tools like PowerBI or Tableau is a plus.
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