Big Data Engineer

Overview

On Site
Depends on Experience
Full Time

Skills

Big Data Engineer
MarTech
CDP
and data warehousing.

Job Details

Tittle : Big Data Engineer

Location: Dallas TX (Onsite/Hybrid)

Fulltime

In-person interview is must

Job Description

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.

Job Requirements:

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

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