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HM - Data Engineer Tech Lead

Remote: 
Full Remote
Contract: 
Work from: 

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Xander Talent Scaleup http://www.xandertalent.in
51 - 200 Employees
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Job description

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Your missions

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 up-to-date 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.
·      Hands-on experience managing / working with Informatica, Snowflake, Java, Python, and cloud technologies is desired.
 
Performance Optimization:
 
·      Monitor and optimize data pipelines for performance, reliability, and cost-effectiveness.
·      Troubleshoot and resolve data-related 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:
 
·      Bachelor's or Master's 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 cloud-based storage.
·      Familiarity with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
·      Experience with cloud-based ETL solutions (e.g., AWS Glue, Azure Data Factory).
·      Leadership and team management experience.
·      Strong problem-solving and communication skills.
·      Understanding of data governance and data quality best practices.
 
Optional Qualifications:
 
·      Relevant certifications in data engineering or cloud platforms.
·      Experience with real-time data processing and streaming technologies.
 

Required profile

Experience

Spoken language(s):
Check out the description to know which languages are mandatory.

Soft Skills

  • team-leadership
  • collaboration

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