Data Engineer

Blue Acorn iCi•Atlanta, GA

13d

About The Position

Blue Acorn iCi, a business unit of Infosys Nova Holdings, LLC, is a digital experience partner helping global brands design, build, and optimize the future of customer engagement. We blend data, design, and technology to deliver connected commerce and content solutions that drive measurable results. Specializing in the Adobe Experience Cloud, we provide end-to-end services across commerce, content, analytics, and customer insights. Backed by Infosys, we’re growing fast—and we’re looking for exceptional talent to grow with us. Our teams work at the intersection of strategy and execution—solving complex challenges for industry leaders in healthcare, retail, manufacturing, and beyond. From large-scale digital transformation programs to platform implementations and ongoing optimization, we bring deep expertise and a collaborative mindset to every engagement. Why Join Us? Blue Acorn iCi is a place for curious thinkers, smart builders, and digital pioneers. We’re more than a consultancy—we’re a team of innovators helping the world’s top brands shape the future of digital. Here, you won’t just contribute to a project—you’ll drive meaningful outcomes, collaborate with cross-disciplinary teams, and grow your skills in a high-impact, high-growth environment. We believe great work starts with great people, and we’re committed to creating a culture where talent thrives, ideas spark change, and results speak for themselves. If you’re ready to push boundaries, deliver real value, and help shape the next generation of digital experiences—this is your place.

Requirements

Bachelor’s or master’s degree in computer science, Information Systems, or related field
12+ years of experience in data engineering, with at least 3-5 years focused on MarTech, CDP, and data warehousing.
8+ years of experience in data engineering, with at least 3-5 years focused on MarTech, CDP, and data warehousing.
Hands-on experience with Snowflake cloud data platform, including data ingestion, transformation, and orchestration.
Strong background in building and maintaining data warehouse solutions on Snowflake.
Proficiency in SQL, Python, or other programming languages for data processing and automation
Experience with ETL/ELT tools, data pipeline development, and Apache Airflow workflow management
Proficiency in real-time data processing (Spark Streaming, Flink, Kafka Streams).
Experience with cloud data warehouses, Snowflake, and data lakes (Delta Lake, Iceberg)
Familiarity with NoSQL (MongoDB, Cassandra) and key-value stores (Redis, DynamoDB) is highly desirable.
Experience with batch & streaming pipelines (Kafka, Kinesis, Pub/Sub).
Experience with Azure cloud platforms, Azure Event Hubs and their integration with Snowflake
Understanding of marketing technologies, customer data platforms, and data integration challenges
Knowledge of data quality, data governance, and security practices in data engineering
Strong problem-solving skills and ability to optimize data processes for performance and scalability
Good communication and teamwork skills to collaborate with data architects, analysts, and marketing teams