Data Engineer

Proficiency in SQL, Python, or other programming languages for data processing and automationExperience with ETL/ELT tools, data pipeline development, and Apache Airflow workflow managementProficiency 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 desirableExperience with batch & streaming pipelines (Kafka, Kinesis, Pub/Sub)Experience with Azure cloud platforms, Azure Event Hubs and their integration with SnowflakeUnderstanding of marketing technologies, customer data platforms, and data integration challengesKnowledge of data quality, data governance, and security practices in data engineeringStrong problem-solving skills and ability to optimize data processes for performance and scalabilityGood communication and teamwork skills to collaborate with data architects, analysts, and marketing teamsRelevant certifications (e.g., Snowflake, Azure Cloud, and Big Data) are a plusWe are committed to fostering a diverse, inclusive, and equitable workplace where individuals from all backgrounds feel valued and empowered to contribute their unique perspectives. Job title: Data EngineerDuration of the project: 6 months+Work Location with Zip code: Dallas (Texas), Bothell, AtlantaMinimum years of experience required: 4 to 5 yearsWould you require the candidates to meet you for in person interview: YesIs Skype/WebEx interview, OK Please ConfirmMust Have Skills (TOP 3 SKILLS): AJO, AEP, SnowflakeBachelor's or master's degree in computer science, Information Systems, or related fieldHands-on experience with Snowflake cloud data platform, including data ingestion, transformation, and orchestration.

Data EngineerAPN 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 EngineerDuration of the project: 6 months+Work Location with Zip code: Dallas (Texas), Bothell, AtlantaMinimum years of experience required: 4 to 5 yearsWould you require the candidates to meet you for in person interview: YesIs Skype/WebEx interview, OK Please ConfirmMust Have Skills (TOP 3 SKILLS): AJO, AEP, SnowflakeBachelor's or master's degree in computer science, Information Systems, or related fieldHands-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 automationExperience with ETL/ELT tools, data pipeline development, and Apache Airflow workflow managementProficiency 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 desirableExperience with batch & streaming pipelines (Kafka, Kinesis, Pub/Sub)Experience with Azure cloud platforms, Azure Event Hubs and their integration with SnowflakeUnderstanding of marketing technologies, customer data platforms, and data integration challengesKnowledge of data quality, data governance, and security practices in data engineeringStrong problem-solving skills and ability to optimize data processes for performance and scalabilityGood communication and teamwork skills to collaborate with data architects, analysts, and marketing teamsRelevant certifications (e.g., Snowflake, Azure Cloud, and Big Data) are a plusWe 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.