IT Consulting

Accelerating business growth today comes with unique challenges, such as reaching a wider audience, managing inventory effectively, and providing a smooth shopping experience for customers.

Many businesses struggle with outdated systems that make it hard to scale or offer the convenience modern consumers expect. Without a robust e-commerce solution, issues like slow checkout processes, lack of secure payments, or difficulty tracking orders can lead to lost sales and dissatisfied customers.

Our E-commerce Technology Ecosystem is designed to tackle these problems head-on, empowering businesses to thrive in the competitive online marketplace. It streamlines the entire sales process, from effortlessly listing products and managing customer relationships to ensuring secure payment processing and efficient order fulfillment.


PT Ako Media Asia (SALT)

Jakarta Barat

Responsibilities:

Developing scalable and reliable ETL pipelines and processess to ingest data from a large number and variety of data sources.

Deep understanding of real-time data productions availability to inform on the real time metric definitions.

Maintaining and optimizing the performance of our data analytics infrastructure to ensure accurate, re-liable and timely delivering of key insights for decision making.

Design and deliver the next-gen data lifecycle management suite of tools/frameworks, including ingestion and consumption on the top of data lake to support real-time, API-based and serverless use-cases, along with batch as relevant.

Requirements:

Bachelor degree in Computer Science, Software Engineering, Information Technology or related field

At least 5+ years of relevant experience in developing scalable, secured, distributed, fault tolerant, resilient & mission-critical Big Data platforms.

Proficiency in at least one of the programming languages Pyhton, Scala or Java.

Strong understanding of big data and related technologies like Flink, Spark, Airflow, Kafka , etc

Experience with different databases - NoSQL, Columnar, Relational

You have a hunger for consuming data, new data technologies and discovering new and innovative solutions to the company’s data needs

Organized, insightful and can communicate your observations well, both written and verbally to your stakeholders to share updates and coordinate the development of data pipelines.

Have a good understanding of Data Structure or Algorithms or Machine Learning models

Fluent in English

Responsibilities:<ul><li>Developing scalable and reliable ETL pipelines and processess to ingest data from a large number and variety of data sources.</li><li>Deep understanding of real-time data productions availability to inform on the real time metric definitions.</li><li>Maintaining and optimizing the performance of our data analytics infrastructure to ensure accurate, re-liable and timely delivering of key insights for decision making.</li><li>Design and deliver the next-gen data lifecycle management suite of tools/frameworks, including ingestion and consumption on the top of data lake to support real-time, API-based and serverless use-cases, along with batch as relevant.</li></ul>Requirements:<ul><li>Bachelor degree in Computer Science, Software Engineering, Information Technology or related field</li><li>At least 5+ years of relevant experience in developing scalable, secured, distributed, fault tolerant, resilient &amp; mission-critical Big Data platforms.</li><li>Proficiency in at least one of the programming languages Pyhton, Scala or Java.</li><li>Strong understanding of big data and related technologies like Flink, Spark, Airflow, Kafka , etc</li><li>Experience with different databases - NoSQL, Columnar, Relational</li><li>You have a hunger for consuming data, new data technologies and discovering new and innovative solutions to the company’s data needs</li><li>Organized, insightful and can communicate your observations well, both written and verbally to your stakeholders to share updates and coordinate the development of data pipelines.</li><li>Have a good understanding of Data Structure or Algorithms or Machine Learning models</li><li>Fluent in English</li></ul>

        Persyaratan:
        Pendidikan: Minimal S1
        Usia: Maksimal 40 Tahun
        Jenis Kelamin: gender.
        Pengalaman: Minimal 3 Tahun
        Pekerjaan ini membutuhkan kemampuan:
        

        Deskripsi Pekerjaan:
        Responsibilities:

Developing scalable and reliable ETL pipelines and processess to ingest data from a large number and variety of data sources.

Deep understanding of real-time data productions availability to inform on the real time metric definitions.

Maintaining and optimizing the performance of our data analytics infrastructure to ensure accurate, re-liable and timely delivering of key insights for decision making.

Design and deliver the next-gen data lifecycle management suite of tools/frameworks, including ingestion and consumption on the top of data lake to support real-time, API-based and serverless use-cases, along with batch as relevant.

Requirements:

Bachelor degree in Computer Science, Software Engineering, Information Technology or related field

At least 5+ years of relevant experience in developing scalable, secured, distributed, fault tolerant, resilient & mission-critical Big Data platforms.

Proficiency in at least one of the programming languages Pyhton, Scala or Java.

Strong understanding of big data and related technologies like Flink, Spark, Airflow, Kafka , etc

Experience with different databases - NoSQL, Columnar, Relational

You have a hunger for consuming data, new data technologies and discovering new and innovative solutions to the company’s data needs

Organized, insightful and can communicate your observations well, both written and verbally to your stakeholders to share updates and coordinate the development of data pipelines.

Have a good understanding of Data Structure or Algorithms or Machine Learning models

Fluent in English

        Hari Kerja: Senin - Jumat
        Jam Kerja: 09:00 - 18:00

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