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Urgent! Data Engineer Job Opening In WorkFromHome – Now Hiring Zenika Pte. Ltd.



Job description

Is there a Zenika in you?

Let’s talk skills and passion first.

You’re a data enthusiast who thrives on transforming complexity into clarity.

With deep technical expertise in AWS and Databricks , you design robust, scalable, and high-performance data pipelines that power intelligent decisions.

Curious by nature, you’re constantly exploring new tools, automation techniques, and architectures to deliver meaningful data solutions that scale.

Your Role as a Zenika Consultant:

As a Data Engineer Consultant, you’ll play a key role in designing and implementing data platforms for our clients — particularly in public sector and enterprise environments.

You’ll work hands-on with technologies like AWS, Databricks, and PySpark, and collaborate with cross-functional teams to deliver scalable, production-ready data solutions.

You’ll work on projects that will allow you to:

  • Design and build enterprise-scale data architectures — including data lakes, warehouses, and real-time streaming pipelines.

  • Develop and maintain high-performance ETL/ELT pipelines that process large volumes of structured and unstructured data.

  • Implement and optimise data transformations in Databricks using PySpark, Python, and SQL, ensuring quality, scalability, and cost-efficiency.

  • Collaborate and mentor — guide junior engineers, review code, and drive adoption of best practices in data engineering and DevOps.

  • Integrate and automate data flows using APIs, AWS services (Glue, Redshift, S3, EMR, Lambda), and real-time tools like Kafka or Kinesis.

  • Monitor and troubleshoot performance bottlenecks, ensuring reliability, consistency, and security across all data operations.

What You Bring

  • 5–7 years of experience in data engineering, ideally on AWS-native platforms.

  • Proven experience building ETL/ELT pipelines, migrating data solutions, and managing real-time streaming architectures.

  • Hands-on expertise in Databricks, PySpark, Python, and SQL for large-scale data transformation.

  • Strong understanding of data warehouse design (Redshift, Snowflake) and data governance principles.

  • Familiarity with DevOps concepts, including CI/CD workflows and version control (GitLab, GitHub).

  • Experience with serverless compute (AWS Lambda, Azure Functions) and automation scripting.

  • Solid grasp of data security, performance optimisation, and cost management in cloud environments.

  • Excellent communication and collaboration skills — you translate complex technical details into clear business language.

  • Bonus: Experience with public sector or HR analytics projects, as well as mentoring and leading data teams.

  • Bachelor’s degree in Computer Science, Data Engineering, or a related field (Master’s preferred).

  • Certifications such as:AWS Certified Data Engineer – Associate or AWS Certified Solutions Architect, Databricks Certified Data Engineer (Associate/Professional), Snowflake or Redshift certifications (a plus), Agile/Scrum Master certification (preferred)

About Zenika

Founded by developer Carl Azoury, Zenika is a consultancy built around community, transparency, and craftsmanship.

We are passionate technophiles advising clients with deep expertise in open-source tech and modern solutions.

Why Join Zenika?

  • Work with a global client base across 11 locations, benefiting from over 28,000 Zenika-led training sessions
  • Partner with tech giants like Google Cloud and Scrum.org, and engage in research, open-source contributions, and conferences outside client projects
  • Participate in Zenika tech conferences (TechnoZaures) to learn, share, and grow together
  • Hybrid work arrangement
  • 20 days of annual leave + up to 5 LEAP(Learning, Education, Advancement, Progress) days
  • Dedicated Learning & Development (L&D) budget to support your growth
  • Flexible benefits package to cater to your well-being and lifestyle needs
  • Comprehensive international medical insurance package

Ready to code your story with us?

Apply NOW!

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Required Skill Profession

Database, Analytics & Bi



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