Key Facts

Remote From:

Fixed term

Senior (5-10 years)

English

Hard Skills

Data Engineering Data Governance ETL (Extract Transform Load) Data Architecture AWS Glue Microsoft Azure Python (Programming Language) AWS Cloud Services SQL (Programming Language) gRPC NoSQL Snowflake (Data Warehouse) Azure Data Factory Informatica Java (Programming Language) Data Lakes Data Streaming Computer Systems

Other Skills

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Team Leadership
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Communication
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Problem Solving

Roles & Responsibilities

Bachelor's or Master's degree in computer science, data engineering, or related field.
Proven experience in data engineering, ETL, data modeling, and pipeline development.
Strong programming skills in Python, Java, or Scala.
Experience with data storage solutions, big data technologies, and cloud platforms.

Requirements:

Lead and mentor a team of data engineers, setting objectives and ensuring project success.
Build and optimize data pipelines for data collection, processing, and storage.
Implement data quality checks, validation procedures, and enforce data governance standards.
Collaborate with stakeholders to understand data requirements and integrate data from multiple sources.

Xander Talent

About Xander Talent

Welcome to Xander Talent: Your Partner in Building Exceptional TeamsAt Xander Talent, our commitment extends beyond being a conventional human resource solution provider; we position ourselves as strategic partners dedicated to cultivating exceptional teams that propel success in the dynamic and rapidly changing business landscape. Rooted in our core values of integrity, innovation, and adaptability, we navigate the intricate world of human resources to provide customized solutions that resonate with the unique needs of our clients.Integrity is the cornerstone of our approach. We believe in transparency, honesty, and ethical practices. By upholding the highest standards of integrity, we ensure that our clients can trust us implicitly, fostering a relationship built on reliability and accountability.Innovation is at the heart of what we do. In an era of constant change, we embrace creativity and forward-thinking to revolutionize traditional HR practices. By leveraging cutting-edge technologies and pioneering methodologies, we stay ahead of the curve, offering innovative solutions that address the challenges of the modern workplace.Adaptability is ingrained in our DNA. Recognizing that every organization is unique and faces distinct challenges, we tailor our HR solutions to suit the evolving needs of our clients. In an environment where flexibility is key, we remain agile, adjusting our strategies to accommodate the ever-shifting dynamics of the business world.Our relentless pursuit of excellence is evident in our unwavering commitment to delivering tailored and effective HR solutions. We understand that success is not one-size-fits-all; hence, our approach is highly personalized. Whether it's talent acquisition, workforce development, or organizational strategy, we meticulously craft solutions that align with our clients' goals and aspirations.

Company type: Scaleup

Industry:

Founded: 2018

Company size: 51 - 200

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Job description

Team Leadership:
· Lead and mentor a team of data engineers, providing technical guidance and support.
· Set clear objectives and priorities for the team and ensure the successful execution of projects.
· Foster a collaborative and innovative work environment. Engage and collaborate with stakeholders, business leaders and SME’s.

Data Pipeline Development:
· Build and optimize data pipelines for collecting, processing, and storing data from various sources.
· Implement data transformation and enrichment processes to support analytics and reporting.

Data Quality and Governance:
· Implement data quality checks and validation procedures to ensure data accuracy and consistency.
· Define and enforce data governance standards and best practices.

Integration and Collaboration:
· Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and provide data solutions.
· Integrate data from multiple sources, including databases, APIs, and external data providers.

Technology Stack:
· Stay uptodate with the latest data engineering technologies and best practices.
· Select and manage the appropriate tools and technologies for data processing and storage, such as databases, data lakes, and ETL frameworks.
· Handson experience managing working with Informatica, Snowflake, Java, Python, and cloud technologies is desired.

Performance Optimization:
· Monitor and optimize data pipelines for performance, reliability, and costeffectiveness.
· Troubleshoot and resolve datarelated issues as they arise.

Documentation and Knowledge Sharing:
· Maintain thorough documentation of data processes, architectures, and workflows.
· Promote knowledge sharing within the team and across the organization.

Qualifications:
· Bachelors or Masters degree in computer science, data engineering, or a related field.
· Proven experience in data engineering with a focus on ETL, data modeling, and data pipeline development.
· Strong programming skills in languages such as Python, Java, or Scala.
· Expertise in working with data storage solutions like databases (SQL and NoSQL), data lakes, and cloudbased storage.
· Familiarity with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
· Experience with cloudbased ETL solutions (e.g., AWS Glue, Azure Data Factory).
· Leadership and team management experience.
· Strong problemsolving and communication skills.
· Understanding of data governance and data quality best practices.

Optional Qualifications:
· Relevant certifications in data engineering or cloud platforms.
· Experience with realtime data processing and streaming technologies.