AI Big Data Engineer

As a Data Engineer, you will focus on creating a Unified Data Platform. You will design, develop, and maintain data pipelines, data lakes, and data platforms that support the analytics and business intelligence needs of our clients.

You will work with cutting-edge technologies and tools, such as Spark, Kafka, AWS, Azure, and Kubernetes, to handle large-scale and complex data challenges.

You will also collaborate with full stack developers, data scientists, analysts, and stakeholders to ensure data quality, reliability, and usability.

You must be comfortable working with huge datasets.

Main Responsibilities

Build automated pipelines to extract and process data from a variety of legacy platforms (predominantly SQL Server), e.

g., in stored procedures, Glue processing, etc.

• Implement data-related business logic on modern data platforms, such as AWS Glue, Databricks, and Azure using best practices and industry standards.
• Create vector databases, data marts and the data models to support them
• Optimize and monitor the performance, reliability, and security of data systems and processes.
• Integrate and transform data from (or to) various sources and formats, such as structured, unstructured, streaming, and batch.
• Develop and maintain data quality checks, tests, and documentation.
• Support data analysis, reporting, and visualization using tools such as SQL, Python, Tableau and Quicksight
• Research and evaluate new data technologies and trends to improve data solutions and existing capabilities.

Qualifications And Skills

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field
• At least 5 years of experience in data engineering or a similar role (previous DBA experience is a plus)
• Experience with big data frameworks and tools, such as Spark, Hadoop, Kafka and Hive
• Expert in SQL, including a knowledge of efficient query and schema design, DDL, data modeling and use of stored procedures
• Proficient in at least one programming language, such as Python, Go or Java
• Experience with CI / CD, containerization (ex : docker, K8s) and orchestration (ex : Airflow)
• Experience building production systems with more modern ETL, ELT and data systems, such as AWS Glue, Databricks, Snowflake, Elastic, and Azure Cognitive Search
• Experience deploying data infrastructure on cloud platforms (AWS, Azure, or GCP)
• Strong knowledge of data quality, data governance, and data security principles and practices
• Excellent communication, collaboration, and problem-solving

Estimated Min Rate : $60.00

Estimated Max Rate : $75.00

Note : Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description.

All qualified applicants are welcome to apply.

Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Visit to contact us if you are an individual with a disability and require accommodation in the application process.

For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.