Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 2 days ago

Engineer - Data Engineering

InTalent Asia784 open roles

Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowEngineer - Data EngineeringInTalent Asia

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on InTalent Asia's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. InTalent Asia postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.5%14 days
  5. 35.5%30 days
  6. 45.1%60 days
This job: first seen 2 days ago

InTalent Asia median: 1 days open

The posting

WE ARE HIRING: Engineer – Data Engineering

Location: Sri Lanka Employment Type: Contract Company Industry: Software

Role Overview

We are seeking a motivated and technically skilled Engineer – Data Engineering to design, develop, and maintain scalable enterprise data solutions and cloud-based data-processing applications.

The selected candidate will be responsible for building reliable data pipelines, integrating multiple source systems, processing large volumes of data, and supporting solutions throughout the complete software-development lifecycle. The role requires strong programming skills, hands-on cloud experience, and the ability to work effectively within an Agile and DevOps environment.

Key Responsibilities

  • Design and develop scalable enterprise-grade data-processing solutions.
  • Build distributed and highly available data applications that support large-scale business requirements.
  • Design, develop, test, and maintain data pipelines connecting multiple source systems and target platforms.
  • Develop ETL and ELT workflows for batch and near-real-time data processing.
  • Process, transform, and validate large volumes of structured and unstructured data.
  • Develop cloud-native data solutions using Google Cloud Platform services.
  • Build data-processing and orchestration workflows using tools such as Airflow and Cloud Composer.
  • Work with services such as BigQuery, Dataflow, Dataproc, Datastream, Pub/Sub, Cloud Functions, and Cloud Run.
  • Support data-processing solutions using AWS services such as Glue, Lambda, EMR, and Data Pipeline when required.
  • Develop data-processing applications using Python, Shell scripting, and SQL.
  • Design and optimize solutions using relational databases, NoSQL databases, and distributed storage engines.
  • Support streaming-data applications using technologies such as Kafka, Pub/Sub, Spark, or similar tools.
  • Contribute to the development of data warehouses, data marts, data lakes, and data-mesh solutions.
  • Apply software-engineering best practices to ensure clean, reusable, maintainable, and high-quality code.
  • Participate in code reviews, technical design discussions, and solution-architecture activities.
  • Implement and maintain Continuous Integration and Continuous Delivery pipelines.
  • Use code-management and automation tools such as GitHub, GitLab, Jenkins, or equivalent platforms.
  • Follow DevOps principles throughout development, testing, deployment, and production support.
  • Monitor application health, data-pipeline performance, and system reliability.
  • Investigate and resolve data-processing failures, performance issues, and production incidents.
  • Use monitoring platforms such as Datadog or equivalent tools when required.
  • Collaborate with software engineers, data engineers, quality engineers, analysts, architects, and product stakeholders.
  • Participate in Agile activities, including sprint planning, daily stand-ups, reviews, and retrospectives.
  • Support technical alignment across team members and contribute to implementation planning.
  • Maintain technical documentation, data mappings, solution designs, and operational procedures.
  • Continuously evaluate new data-engineering tools, cloud services, and development practices.

Candidate Profile

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or an equivalent field.
  • Minimum 1 to 2 years of experience developing enterprise-grade data-processing applications.
  • Strong programming skills in Python, Shell scripting, and SQL.
  • Hands-on experience processing large volumes of data.
  • Experience designing and developing ETL or ELT data pipelines.
  • Practical experience with relational databases, NoSQL databases, and distributed storage engines.
  • Hands-on experience with Google Cloud Platform.
  • Experience with GCP services such as BigQuery, Dataflow, Dataproc, Datastream, Pub/Sub, Cloud Functions, Cloud Run, and Cloud Composer.
  • Familiarity with ETL and orchestration tools such as Airflow.
  • Exposure to AWS data services such as Glue, Lambda, EMR, Spark, Hive, or Data Pipeline will be an advantage.
  • Experience working with streaming technologies such as Kafka, Pub/Sub, Storm, or Spark Streaming will be an advantage.
  • Good understanding of distributed systems, scalable architectures, and cloud-based data processing.
  • Experience working within Scrum and Agile delivery environments.
  • Familiarity with DevOps practices and software-development lifecycle processes.
  • Experience with source-control and CI/CD tools such as GitHub, GitLab, and Jenkins.
  • Exposure to application-monitoring tools such as Datadog or an equivalent platform will be an advantage.
  • Understanding of data warehousing, data marts, data lakes, or data-mesh concepts will be preferred.
  • Good knowledge of software-engineering standards, testing practices, and code-quality principles.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Strong written and verbal communication skills.
  • Ability to communicate technical ideas clearly and influence implementation decisions.
  • Ability to work collaboratively within cross-functional technical teams.
  • Proactive, adaptable, and committed to continuous learning and professional development.
  • Strong interest in building and maintaining reliable, high-performance data solutions.

Ready to take your career to new heights?

We're InTalent Asia, your recruitment partner in Sri Lanka, and we've got an exciting opportunity for you! Our client is looking for a dynamic individual to fill the role of Engineer – Data Engineering.

Apply now and see how you can be the perfect fit for this exclusive position!

#InTalentAsia #CareerOpportunity #JobVacancy #DataEngineer #DataEngineering #GoogleCloudPlatform #PythonJobs #CloudData #ETL #ElevateYourCareer

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against InTalent Asia's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on InTalent Asia's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    InTalent Asia's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.