Senior Data Engineer

2 weeks ago

Singapore NodeFlair Full time

**Job Summary**:
**Salary**
S$9,000 - S$11,500 / Monthly

**Job Type**

**Seniority**

Senior

**Years of Experience**
At least 5 years

**Tech Stacks**
ETL Informatica MapReduce AWS Oracle SparkSQL Sqoop CI pySpark RedShift HDFS HBase Apache Git Java MSSQL Hive Spark NoSQL kafka SQL Scala PostgreSQL Cassandra Hadoop MySQL MongoDB Python

We are looking for a Senior Data Engineer who will join the Digital Technology Team
We need an experienced data engineer to design and develop data infrastructure.

As we are looking to build the data pipeline from scratch, you will have autonomy and the technical backing from our engineering team in designing, developing and maintaining this infrastructure.
Contribute to key data pipeline architecture decisions and lead the implementation of major initiatives
Translating business requirements into technical specifications and documentation
Developing code standards, ETL architecture standards, and naming conventions
Designing, executing and documenting ETL testing plans
Optimizing performance of ETL jobs
Develop the team’s data capabilities - share knowledge, enforce best practices and encourage data-driven decisions.

Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science
5+ years of experience with a proven track record of building scalable and performant data infrastructure, implementing data
warehousing and business intelligence projects:
MS SQL Server, Oracle, MySQL, PostgreSQL
Delivering production ETL jobs using Informatica stack including:
Power Center, PowerExchange, Informatica Data Explorer

Should be worked in Hadoop ecosystem,experience in AWS (redshift,cloud watch)
Experience with the following tools is a bonus:
Big Data Management, Big Data Streaming, Enterprise Data Integration, Enterprise Data Lake, Enterprise Data Catalog, Customer 360
Experience implementing Data Quality (DQ) framework is a bonus:
Data profiling,DQ validation rules ,Automatic cleansing etc.
3+ years of experience with Hadoop architecture and components including:
Apache Hive,Apache Spark,Apache zoo keeper,Kafka,Nifi,Sqoop,HDFS architecture,HBase,MapReduce

Git hub
- CI/CD automation
Experience with NoSQL databases is a bonus:
MongoDB, Cassandra, etc.
Experience building APIs is a bonus
Experience with the following languages:
SQL,Bash,HiveQL,Scala, SparkSQL, PySpark,Python,Java

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