Technical Data Lead

Sustainable Estimatics
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Tech stack

Amazon Web Services (AWS)
Data analysis
Azure
Big Data
Cloudera Impala
Code Review
Computer Programming
Continuous Integration
Data Integration
Data Transformation
Data Systems
R
Hadoop Distributed File System
HBase
Hive
Python
Scrum
Cloudera
SQL Databases
Technical Data Management Systems
Data Processing
Spark
Data Lake
Information Technology
Ripple (payment Protocol)
Data Management
Api Management
Programming Languages

Job description

We are seeking a skilled and experienced Technical Data Lead to join our team. Working on Big Data environments and projects such as Global Data Lake, and including our focus on Sustainable Estimatics offerings.

Sustainable Estimatics is a leading suite within the company, renowned for its significant impact on the industry. With our cutting-edge and certified algorithm, we offer a unique advantage to our customers, enabling them to achieve substantial cost savings by effectively reducing waste and optimizing resource usage. By integrating sustainability principles into our Estimatics practices, we actively contribute to the industry's collective effort to minimize environmental impact. Our commitment to sustainability extends beyond individual projects, as we strive to drive industry-wide innovation. Through the continuous development of new technologies and practices, we aim to create a positive ripple effect that benefits not only the environment but also society as a whole.

As a Technical Data Lead, you will play a crucial role in overseeing and managing the technical aspects of data-related initiatives within our organization. Your primary responsibility will be to provide guidance and support to the data team, ensuring the successful implementation of data projects and initiatives.

  • Leading the technical aspects of data projects, including data integration, data transformation, and data modeling.
  • Designing, developing, and maintaining data systems and infrastructure to ensure data quality, integrity, and security.
  • Develop and maintain scalable and efficient data processing pipelines using Cloudera and Spark technologies among others to handle large volumes of data from diverse sources.
  • Develop and maintain scalable API solutions to provide data to both: external and internal customers.
  • Collaborating with cross-functional teams to understand their data needs and translate business requirements into technical solutions.
  • Overseeing the implementation of data analytics tools and technologies, ensuring optimal performance and scalability.
  • Providing technical guidance and mentorship to the data team, fostering a culture of continuous learning and innovation.
  • Conducting regular data audits and assessments to identify areas for improvement and implementing necessary changes.
  • Staying up-to-date with the latest trends and advancements in data management and analytics, evaluating their potential impact on the organization.
  • Monitoring and reporting on the progress and performance of data projects, ensuring timely delivery and effective communication with stakeholders.
  • Participate in agile development practices, including sprint planning, code reviews, and continuous integration and deployment, to ensure high-quality software delivery.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • At least 3 years of technical expertise in data management, analytics, and programming.
  • At least 3 years of proven experience in leading and managing data projects, including data integration, transformation, and modeling.
  • In-depth knowledge of data systems and infrastructure, with the ability to design, develop, and maintain scalable and efficient solutions.
  • Proven experience with data analytics tools and technologies, such as SQL, Python, R, or other relevant programming languages.
  • Hands-on experience with Cloudera distribution and related tools like HDFS, Hive, Impala, and HBase or similar technical stack.
  • Experience with cloud platforms like AWS or Azure, and knowledge

By joining our team as a Technical Data Lead, you will play a critical role in driving data-driven decision-making, enabling us to leverage our data assets and gain a competitive advantage. Your contributions will be instrumental in achieving our strategic goals and fostering a culture of data excellence within our organization.

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