lead data engineer

4 tygodni temu


Kraków, Lesser Poland TE Connectivity Corporation Pełny etat

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At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Job Overview

Responsible for designing and establishing the solution architecture for analytical platforms and/or data-enabled solutions. Has broad understanding of the entire data and analytics eco-system of tools and technologies, with hands-on experience across all three core data domains of data science, data engineering, and data visualization. Responsible for fleshing out the details of the end-to-end component architecture being implemented by the team. Contributes to the team's development velocity, if necessary. Understands how an organization's data platform integrates within the overall technical architecture. Understands the business purpose the role fulfills, and the roadmap for the lifecycle of an organization's systems. Sets the direction and establishes the approach for integrating information applications and programs.

Key Responsibilities:
  • Develop and maintain data pipelines for efficient extraction, transformation, and loading (ETL) processes.
  • Design and optimize data storage solutions, including Amazon Redshift data warehouses and Amazon S3 data lakes.
  • Ensure data quality and integrity through validation, cleansing, and error handling processes.
  • Collaborate with data analysts, data architects, and software engineers to understand data requirements and deliver relevant data sets for business intelligence.
  • Implement data security measures and access controls to protect sensitive information.
  • Automate and improve data processes and workflows for scalability and efficiency.
  • Monitor data infrastructure performance and address any issues promptly.
  • Stay updated on industry trends and emerging technologies in data engineering.
  • Document data pipelines, processes, and best practices to facilitate knowledge sharing.
  • Continuously optimize data architecture to support the company's evolving data needs.
  • Work cross-functionally to drive data-driven decision-making within the organization.
What your background should look like:
  • BE(CS) with 5 years of experience in data engineering.
  • Knowledge of AWS services, particularly Glue, Redshift and S3.
    • Data Storage and Management: Amazon S3, Amazon RDS and DynamoDB
    • Data Processing and ETL: AWS Glue
    • Data Warehousing: Amazon Redshift
    • Programming and Scripting: Proficiency in Python
    • Data Modeling and Architecture
    • Monitoring and Optimization: Using AWS CloudWatch for monitoring and optimizing data workflows.
  • Proficiency in SQL and database management.
  • Experience with ETL (Extract, Transform, Load) processes.
  • Knowledge of FastAPI, Streamlit and Talend would be an asset.

ABOUT TE CONNECTIVITY
TE Connectivity is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, renewable energy, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 8,000 engineers, working alongside customers in approximately 140 countries. TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com.

WHAT TE CONNECTIVITY OFFERS:
We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority


• Competitive Salary Package

• Performance-Based Bonus Plans

• Health and Wellness Incentives

• Community Outreach Programs / Charity Events

• Employee Resource Group

Location: KRAKOW, MA, PL

City: KRAKOW

State: MA

Country/Region: PL

Travel: None

Requisition ID: 129552

Function: Information Technology

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