Senior AWS Data Engineer

PALO IT; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A global technology consultancy is seeking a Senior Data Engineer in Singapore. The role involves managing data pipelines, migrating solutions to AWS, and working with a variety of big data technologies. Applicants should have a degree in IT or a related field and 7+ years of experience. This is an exciting opportunity to contribute to impactful projects in a sustainable environment.

Benefits

Stimulating working environments

Unique career path

International mobility

Personalized training

Qualifications

• At least 7 years of experience in data engineering.
• Good knowledge of big data technology.
• Experience with distributed storage/computing.

Responsibilities

• Execute and enhance the data pipeline.
• Migrate data pipeline to AWS Cloud.
• Perform data quality checking and cleaning.

Skills

Python

SQL

AWS tools (S3, Glue, EMR)

Data pipeline migration

NoSQL databases

ETL processes

Data Science methodologies

Education

Bachelor's, Master's, or Ph.D. degree in IT, Information Management, or Computer Science

Tools

Airflow

Hadoop

Spark

Power BI

Job description

Overview

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)
• We are robust and resilient (100% independent and 0 debt)
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

Your Role

The Senior Data Engineer will work on acquiring, storing, governing and processing huge sets of structured / unstructured data. You will bring a vision of the big data solutions landscape for choosing optimal architecture components to use for these purposes as well as a set of data engineering skills for implementing enterprise data foundations such as data lake. Finally, you will work closely with other PALO IT experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams to enable intelligence in the digital mesh of our clients and deliver big impact to them.

Your Responsibilities

• The project is executing a data pipeline, which handles data download, decryption, quality checking, cleaning, processing, and prediction including comprehensive error handling, error reporting, and self-recovery mechanisms. Currently, the data pipeline is deployed on an on-premises server, requiring the project team to closely monitor its operations and performance. The project team seeks an experienced data engineer to enhance the existing data pipeline using industry-standard tools and mechanisms.
• Experience with migrating data pipeline to AWS Cloud using AWS managed components
• Proficient in Python, SQL Knowledge, Schell scripts (Linux)
• Proficient in Airflow or similar tool to create pipelines
• Proficient in AWS tools like S3, Glue, AWS EMR, Lambda, Step functions, Fargate, AWS Batch
• Familiar with tools like AWS Batch, Athena, file formats like Parquet, NoSQL knowledge and tools like AWS OpenSearch

Who You Are

• You hold a Bachelor's, Master's, or Ph.D. degree in IT, Information Management, and/or Computer Science with at least 7 years of experience.
• Good knowledge of the big data technology landscape and concepts related to distributed storage/computing
• Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)
• Experience with batch & ETL jobs to ingest and process data from multiple data sources
• Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)
• Experience with querying tools (e.g Hive, Spark SQL, Impala)
• Experience with Power BI
• Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming
• Experience or willingness to learn about DevOps and DataOps principles (Infrastructure as Code, automating different parts of the data pipeline)
• High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)
• You are passionate about technology and continuous learning comes naturally to you

We will be prioritizing applicants who have a current right to work in Singapore, and do not require sponsorship of a visa.

More About Palo IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company
• Attain 50% of revenue from projects with a positive impact
• Train 100% of our workforce on impact
• Achieve B Corp certification among all our offices across the globe
• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training

For more on our team culture and benefits, check out our careers page.

PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT. Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes. Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates.