Senior AWS Data Engineer

PALO IT SINGAPORE PTE. LTD.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A leading technology consultancy in Singapore is looking for a Senior Data Engineer to manage large datasets. This role involves enhancing data pipelines and migrating to AWS Cloud. Candidates should have a degree in IT or a related field and at least 7 years of relevant experience. Familiarity with tools like Python and SQL, along with a passion for technology, is essential. The company is committed to sustainable practices and continuous learning, making it an excellent environment for professional growth.

Benefits

Stimulating working environments

Unique career path

International mobility

Personalized training

Qualifications

• At least 7 years of experience in data engineering or related roles.
• Experience with big data frameworks and distributions.
• Familiarity with real-time stream processing.
• Understanding of data ingestion and ETL processes.

Responsibilities

• Enhance existing data pipeline using industry-standard tools.
• Perform data processing including error handling and self-recovery.
• Migrate data pipeline to AWS Cloud.
• Work with cross-functional teams to deliver impactful solutions.

Skills

Python

SQL

Airflow

AWS tools (S3, Glue, EMR, etc.)

NoSQL databases

DevOps principles

Data Science concepts

Education

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

Tools

Hadoop

Spark

Power BI

Job description

WHO WE ARE

Build. Scale. Sustain.

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 do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• 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 (e.g 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.

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