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Data Engineering Lead
Metyis
posted 1mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Independently lead manage execution of data engineering projects
- Engineer complete technical solutions to solve concrete business challenges in the areas of digital marketing, eCommerce, Business Intelligence and self-service analytics
- Collect functional and non-functional requirements, consider technical environments, business constraints and enterprise organizations
- Support our clients in executing their Big Data strategies by designing and building operational data platforms: ETL pipelines, data anonymization pipelines, data lakes, near real-time streaming data hubs, web services, training and scoring machine learning models.
- Troubleshoot and quality check work done by team members
- Collaborate closely with partners, strategy consultants and data scientists in a flat and agile organization where personal initiative is highly valued
- Share data engineering knowledge by giving technical trainings
- Communicate and interact with clients at the executive level
- Guide and mentor team members
What you ll bring
- 7-10 years of professional hands-on experience
- A broad practice in multiple software engineering fields
- Experience on managing leading data engineering / warehousing projects
- Must have experience on Python, SQL and Distributed programming languages, preferable Spark
- Experience working on Cloud, Azure is a plus
- Experience working setting up data lakes using entire Big Data and DWH ecosystem
- Experience on data workflows and ETL, Apache Airflow is a plus
- Comfortable with Unix OS type systems, Bash and Linux
- Basic knowledge of webservices and APIs
- Basic knowledge of Containers and Docker as platform
- Experience using Version Control, Testing and development cycle, preferable git (Gitlab or GitHub)
- Knowledge of security practices
- Software development practices (Agile)
- A Strong Focus On Data Processing
- Object oriented programming
- Data workflows, monitoring, architecture and security
- Databases: theory and practice
- Distributed data processing
- Concepts of functional programming
- Enterprise data warehousing, business intelligence and ETL principles
- Good written and oral communication skills in English language
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
Metyis Benefits
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