Senior Data Engineer

Business Overview

KINESSO is the technology-driven performance marketing agency that sits at the very heart of IPG Mediabrands, providing actionable growth for both our agency partners and clients. We turn 'action' into 'outcome' for our clients, leveraging our unique capabilities in optimization, analytics, AI, and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, P3, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry. We have extensive offerings spanning across performance marketing and data and technology. Fueled by a deep understanding of consumer behavior, we offer an end-to-end engine of planning and optimization while also delivering on data-driven strategy for social platforms, actionable growth in e-commerce, and creating curated marketplaces specific to each client's function and needs. The company has more than 6,000 employees operating in more than 60 countries. Learn more at www.KINESSO.com.

Position Summary

We are seeking a motivated Senior Data Engineer to join our dynamic data engineering team. The ideal candidate will have foundational experience in Python, Apache Spark, SQL, AWS, and big data technologies. This role offers an excellent opportunity to grow your skills and make a significant impact by helping us manage and process our large datasets.

Responsibilities

• Data Pipeline Development: Assist in the design, development, and maintenance of scalable data pipelines using Python and Apache Spark.
• Data Integration: Integrate data from various sources into our data warehouse and big data platforms.
• Data Quality and Governance: Ensure data accuracy, consistency, and security across our data systems.
• Cloud Data Solutions: Work with AWS services such as S3, EMR, Lambda to build and optimize our data infrastructure.
• Collaboration: Collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
• Documentation: Maintain clear documentation of data engineering processes, workflows, and best practices.
• Continuous Improvement: Stay current with industry trends and advancements in data engineering technologies and methodologies.

Required Skills & Experience

• Education: Bachelor’s Degree in Computer Science, Information Technology, Data Science, or a related field.
• Programming Skills: Proficiency in Python for data processing and automation tasks.
• Big Data Tools: Basic understanding and some hands-on experience with Apache Spark.
• Cloud Platforms: Familiarity with AWS services, especially those related to data storage and processing.
• Database Knowledge: Understanding of SQL and experience with relational databases.
• Problem-Solving: Strong analytical and problem-solving skills.
• Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.