Data Engineer Tutor Jobs

Collaborate with cross-functional teams to understand data requirements and deliver effective data solutions.

Work on banking projects, leveraging your experience to deliver tailored data solutions.

1-2 years of hands-on experience in data replication or change data capture (CDC).

Prior experience working on banking projects is a strong asset.

Solid problem-solving skills with an analytical mindset.

Effective communication and teamwork abilities.

Workflow management or data pipelines (e.g. Airflow, Azure Data Factory, SSIS).

Experienced in managing and designing data pipelines, debugging data issues on various tools or cloud vendor e.g. GCP/Azure/AWS.

Experience in writing software for data extraction and transformation in one or more languages (e.g. Python, Scala, or Java).

Highly skilled in writing and optimizing SQL queries.

Experienced in building data model for Data Warehouse, Data Lake.

Good problem solving, analytical and leadership skill.

Strong Experience with various of ETL/ELT frameworks, data warehousing concepts, data management framework and data lifecycle processes.

Experience on Azure Databricks for ETL/ELT development and big data analytics programming in Python

Prepare test data, assist to create and execute test plans, test cases and test scripts.

BAU support for any data issues and change requests, document all investigations, findings, recommendations and resolutions.

Bachelor in IT, Computer Science or Engineering.

Strong programming on Python and T-SQL ETL/ELT programming.

● Has min. 3 years of working experience in the related field

● Experience in one or more RDBMS (SQL Server, PostgreSQL, Oracle)

● Experience with Informatica or other related data Integration tools (Informatica is a MUST)

● Experience with Azure ETL products like Azure Data Factory, Azure Databricks

● Experience in one or more programming languages to develop data (e.g. Python and Scala)

● Experience with big data tools: Kafka & Spark

At least 1-5 years of hands-on experience in data engineering roles or roles that touch many aspects of the data lifecycle

Excellent coding abilities in Python and SQL

Have at least 2 years of experience working in cloud technologies (e.g. GCP/AWS/Azure)

Have experience building data pipelines and managing data warehouses in the cloud

Excellent communication skills, both in Bahasa Indonesia and English

Good to have working knowledge in the following technologies

Liaising with coworkers and clients to elucidate the requirements for each task.

Proven experience as a data engineer, software developer, or similar.

Excellent analytical and problem-solving skills.

Capacity to successfully manage a pipeline of duties with minimal supervision.

Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed.

Reformulating existing frameworks to optimize their functioning.

Database Design: Designing and optimizing spatial databases to store and manage geospatial data efficiently and securely.

Advanced programming skills, Python, R, Javascript, SQL

Experience interpreting qualitatively and statistically imagery, time series, complex spatial analysis, data modelling and landscape scenario analysis.

Experience with machine learning libraries such as scikit-learn, TensorFlow, or Keras is a plus.

Outstanding problem-solving skills and detail orientation

Willingness to join an international, remote working team, travelling to various international settings as needed

i. Proven experience in data migration projects, ETL processes, and data management.

v. Knowledge of data governance principles and data security best practices.

vi. Excellent problem-solving and analytical skills, with the ability to identify and resolve datarelated

viii. Effective communication skills, both written and verbal, to interact with diverse stakeholders.

i. Provide regular status updates and reports on data migration progress to project stakeholders.

ii. Ensure compliance with data governance policies and data security standards during the migration

Write clean and scalable data pipeline automation

Maintain and monitor end-to-end data pipeline

Able to make Scrapper Bot

Familiar with Data Warehousing Tools

Eager to learn new technology

Experience with business intelligence tools such as Tableau, Power BI, or QlikView

Experience with data analysis, including statistical analysis, predictive modeling, and data visualization.

Strong problem-solving and analytical skills

Strong communication and collaboration skills

Ability to learn new technologies quickly and adapt to changing business requirements.

Proven experience in software development, including experience with APIs, software integration, and data analysis

Having at least 3-5 years experience as Data Engineer

Hands on experience developing and managing cloud data infrastructure (GCP preferred)

Experience in Advanced SQL DB design

Bachelor Degree in Statistics, Mathematics, Computer Science or equivalent

Familiarity in Pyspark / Scala data lake & data warehouse development

Good understanding in developing data pipelines & scheduler (Airflow / Beam, etc)

Proven experience in designing and building data platform from scratch, including data pipelines, storage, and processing components

Proficient in SQL and experience with ETL/ELT tools and workflow schedulers.

In-depth knowledge of database systems, data modeling, and query optimization

Strong programming skills in languages such as Python, Java.

Excellent interpersonal and communication skills to collaborate effectively with technical and non-technical stakeholders.

Great written and verbal communication skills. Fluent in English is a must.

Sharing knowledge and offer mentorship, providing guidance and advice to peers and colleagues, creating an environment that empowers collective growth

It's not required to have experience working remotely, but considered a plus

Collaboration with cross-functional teams to understand their data requirements and optimize data storage and access, while protecting data integrity and privacy.

Conducting regular performance tuning and optimization of data pipelines to meet SLAs and scalability requirements.

5+ years of experience in data engineering; high-growth tech company experience is a plus

Strong experience with building data extraction/transformation pipelines (e.g. Meltano, Airbyte) and orchestration platforms (e.g. Airflow)

Experience on building cron pipelines or using workflow management platforms such as Apache Airflow.

Experience on utilizing queue managers such as Apache Kafka or RabbitMQ is a plus.

Experience working with multi-temporal remote sensing data.

data management, database architectures and workflow management platforms

Develop and optimize algorithms for data retrieval, summarization, and analysis to meet performance requirements.

Design and implement queuing systems based on available resources to manage and prioritize tasks effectively.

Collaborate with cross-functional teams to understand data requirements and provide technical expertise for data-driven initiatives

2+ years of experience as a data engineer, preferably in a startup or fast-paced environment

Experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with cloud-based data services

Knowledge of big data technologies and distributed computing frameworks (e.g., Hadoop, Spark)

Strong problem-solving skills and ability to work independently with minimal supervision

Excellent communication and collaboration skills to work effectively with cross-functional teams

● Experience with business intelligence tools such as Tableau, Power BI, or QlikView

● Experience with data analysis, including statistical analysis, predictive modeling, and data visualization

● Strong problem-solving and analytical skills

● Strong communication and collaboration skills

● Ability to learn new technologies quickly and adapt to changing business requirements.

● Proven experience in software development, including experience with APIs, software integration, and data analysis

Responsible for building and implementing data solution as per-use cases and business requirements.

Min. 1 year of experience with Python and SQL language.

Have good knowledge ini Visualization tools (Power BI/ Tableu/ etc).

Experience and interest in organization data is a plus.

Collaborate with business, project and engineering teams to develop an understanding of needs and solution through data-driven solutions.

Explore and learn best practices and new technologies for improvement.

Gather business requirement to support Data Office Project

Experience in writing Apache Spark or Apache Beam including an understanding of optimization techniques

Explore existing and new data sources and facilitate the integration to the Data Warehouse

Design and develop Data Quality Framework across Data Platform

Design, implement Data Model for enterprise data warehouse

Classifying data based Data Governance policy and Data Access Framework

1+years experience as data engineer or related field

Collaborative with cross-functional agile teams of software engineers, domain experts & others

Proficient in using SQL, Python

Familiar eith ETL Tools (Pentaho, Talend etc

Building data pipelines with tools

If you fit with this role, please submit your CV Update to :

● Experience with business intelligence tools such as Tableau, Power BI, or QlikView

● Experience with data analysis, including statistical analysis, predictive modeling, and data visualization

● Strong problem-solving and analytical skills

● Strong communication and collaboration skills

● Ability to learn new technologies quickly and adapt to changing business requirements.

● Proven experience in software development, including experience with APIs, software integration, and data analysis