Data Engineering Tech Lead Lead Consultant
Posted on :
05-04-2024
Employer Active
1 Vacancy
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Jobs by Experience
5years
Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
05-04-2024
Job Description
Tasks
- Provide leadership and guidance to the data engineering team including mentoring coaching and fostering a collaborative work environment. Set clear goals assign tasks and manage resources to ensure successful project delivery. Work closely with developers to support them and improve data engineering processes.
- Provide technical expertise and direction in data engineering guiding the team in selecting appropriate tools technologies and methodologies. Stay updated with the latest advancements in data engineering and ensure the team follows best practices and industry standards.
- Oversee the design and architecture of data solutions collaborating with data architects and other stakeholders. Ensure data solutions are scalable efficient and aligned with business requirements. Provide guidance in areas such as data modeling database design and data integration.
- Align coding standards conduct code reviews to ensure proper code quality level.
- Identify and introduce quality assurance processes for data pipelines and workflows.
- Optimize data processing and storage for performance efficiency and cost savings.
- Evaluate and implement new technologies to improve data engineering processes on various aspects (CICD Quality Assurance Coding standards).
- Act as main point of contact to other teams/contributors engaged in the project.
- Maintain technical documentation of the project control validity and perform regular reviews of it.
- Ensure compliance with security standards and regulations.
- Support team members with troubleshooting and resolving complex technical issues and challenges.
- Collaborate with stakeholders to understand project requirements define scope and create project plans.
- Support project managers to ensure that projects are executed effectively meeting timelines budgets and quality standards. Monitor progress identify risks and implement mitigation strategies.
- Act as a trusted advisor for the customer.
Requirements
A bachelors or masters degree in Computer Science Information Systems or a related field is typically required. Additional certifications in data integration tools or platforms are advantageous.
Minimum of 5 years of experience in data engineering or a related field.
Strong technical skills in data engineering including proficiency in programming languages such as Python SQL R or Scala.
Familiarity with cloud platforms and services such as AWS GCP or Azure and experience in implementing data solutions in a cloud environment.
Expertise in working with various data tools and technologies such as ETL frameworks data pipelines and data warehousing solutions.
Proven experience in leading and managing a team of data engineers providing guidance mentorship and technical support.
Indepth knowledge of data management principles and best practices including data governance data quality and data integration.
Strong project management skills with the ability to prioritize tasks manage timelines and deliver highquality results within designated deadlines.
Excellent problemsolving and analytical skills with the ability to identify and resolve complex data engineering issues.
Knowledge of data security and privacy regulations and the ability to ensure compliance within data engineering projects.
Excellent communication and interpersonal skills with the ability to effectively collaborate with crossfunctional teams stakeholders and senior management.
Benefits
Office as an option model. You can choose to work remotely or in the office.
Flexibility regarding working hours.
Upskilling support. Capability development programs Competency Centers knowledge sharing sessions community webinars 110 training opportunities yearly.
A bachelor's or master's degree in Computer Science, Information Systems, or a related field is typically required. Additional certifications in data integration tools or platforms are advantageous. Minimum of 5 years of experience in data engineering or a related field. Strong technical skills in data engineering, including proficiency in programming languages such as Python, SQL, R or Scala. Familiarity with cloud platforms and services, such as AWS, GCP, or Azure, and experience in implementing data solutions in a cloud environment. Expertise in working with various data tools and technologies, such as ETL frameworks, data pipelines, and data warehousing solutions. Proven experience in leading and managing a team of data engineers, providing guidance, mentorship, and technical support. In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration. Strong project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines. Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues. Knowledge of data security and privacy regulations, and the ability to ensure compliance within data engineering projects. Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams, stakeholders, and senior management.
Employment Type
Full Time
Key Skills
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