Data Architect (Freelancer)

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

Mactores is a team of emerging technologists, data engineers, and data scientists driven by excellence in technology to solve critical business problems. We help bridging complex business challenges with technical expertise. Specializing in AI, Fast Data, Industrial IoT and Cloud helps us collaborate with organizations that view technology as a strategic driver to success.

As a Data Architect, you are a data architect that loves solving business problems. You have experience of working in Data Engineering for 7+ years. You work with business leads, analysts, and data scientists to understand the business domain and lead engineers to build data products that empower better decision-making. You are passionate about the data quality of our business metrics and the flexibility of your solution that scales to respond to broader business questions. If you love to solve problems using your skills, then come join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid corporate culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.What you will do?

• Lead the architecture design for the customer problem statement 
• Write efficient code in the chosen technology for the project - For example - Spark, Apache Beam
• Explore new technologies and learn new techniques to solve business problems creatively
• Collaborate with many teams - engineering and business, to build better data products and services
• Lead the project delivery along with the team collaboratively and manage updates to customers on time 

What we are looking for?

• Technical expertise 
• Big data (Amazon EMR, Hadoop, Hive, Presto),
• Programming language (Python, Java, Scala)
• Data warehousing (Amazon Redshift) 
• Deep expertise in Apache Spark and Apache Presto
• Real-time processing engines (Storm, Spark Streaming, Flink)
• Writing SQL queries
• ETL Tools (Informatica, Talend, Matillion)
• Hands-on experience in data modeling, data visualization, and pipeline design and development
• Prior experience working with business stakeholders, in an enterprise space is a plus
• Great communication skills. You should be able to directly communicate with senior business leaders, embed yourself with business teams, and present solutions to business stakeholders
• Experience in working independently and driving projects end to end, strong analytical skills.
• Experience or acumen of working with teams. 

You will be preferred if you have

• Prior experience in working on AWS, GCP, and Azure
• Understanding on DataOps Engineering 
• AWS Certified Big Data – Specialty 
• Cloudera or Hortonworks Certified Big Data Engineer