Data Engineer
APN Consulting, Inc. is a progressive IT staffing and services company offering innovative business solutions to improve client business outcomes. We focus on high impact technology solutions in ServiceNow, Fullstack, Cloud & Data, and AI / ML. Due to our globally expanding service offerings we are seeking top-talent to join our teams and grow with us.
Job title: Data Engineer
Duration of the project: 6 months+
Work Location with Zip code: Dallas (Texas), Bothell, Atlanta
Minimum years of experience required: 4 to 5 years
Would you require the candidates to meet you for in person interview: Yes
Is Skype/WebEx interview, OK Please Confirm
Must Have Skills (TOP 3 SKILLS): AJO, AEP, Snowflake
Bachelor's or master's degree in computer science, Information Systems, or related field
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
Relevant certifications (e.g., Snowflake, Azure Cloud, and Big Data) are a plus
We are committed to fostering a diverse, inclusive, and equitable workplace where individuals from all backgrounds feel valued and empowered to contribute their unique perspectives. We strongly encourage applications from candidates of all genders, races, ethnicities, abilities, and experiences to join our team and help us build a culture of belonging.
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