Bachelor's or master's degree in Computer Science, Information Systems, or a related field
Hands-on experience with Snowflake cloud data platform, including data ingestion, transformation, and orchestration
Proficiency in SQL and Python for data processing and automation
Experience with ETL/ELT tools, data pipeline development, and Apache Airflow workflow management
Requirements:
Design, implement, and maintain scalable data pipelines and data warehouses on Snowflake to support reporting and analytics
Develop real-time and batch data processing pipelines using Spark Streaming, Flink, or Kafka Streams and integrate with cloud data stores
Collaborate with data architects, analysts, and marketing teams to translate business requirements into data solutions while ensuring data quality, governance, and security
Optimize data processing performance and reliability, monitor pipelines, and implement best practices for dataOps and CI/CD for data pipelines
Job description
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
Please confirm if this would be onsite from day one OR Initial remote for 2-3 months and then expecting candidate to work from office OR 100% Remote: Work from Office from day 1 and 5 days Work from Office.
Is this an 100% remote role - No
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
Please provide a Detailed Job Description. (Word Document if any).
Job Description:
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.
