Senior Data Engineer: Cloud Data Pipelines & Analytics

Openkyber; United States; On-site; USD 110,000 - 160,000; Full time

Job summary

Openkyber is seeking a senior Data Engineer to design and implement data pipelines, collaborate with the data science team, and ensure robust data storage and analysis across platforms.

The role emphasizes building scalable data models, warehouses, and efficient SQL/Scala-based queries while leveraging AWS services like S3, Glue, and EMR. Strong experience with Snowflake and Databricks is preferred.

Qualifications

• 5+ years of experience in data modeling, warehousing, and analysis.

Responsibilities

• Design and implement data pipelines using Databricks, Snowflake and Spark.
• Work with large datasets and perform data modeling, warehousing, and analysis.
• Utilize AWS technologies like S3, AWS Glue, and EMR for data processing and storage.
• Develop and optimize queries in SQL, SparkSQL or Scala for data analysis.
• Handle structured and unstructured datasets in relational databases like Teradata.
• Collaborate with the data science team to identify trends and anomalies in data.
• Implement and maintain IAM roles and permissions for data access.

Skills

Data modeling

Data warehousing

Data analysis

Python

KornShell

Education

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or Mathematics

Tools

Snowflake

Databricks

Spark

AWS Glue

Amazon EMR

S3

Job description

Openkyber is seeking a senior Data Engineer to design and implement data pipelines, collaborate with the data science team, and ensure robust data storage and analysis across platforms.

The role emphasizes building scalable data models, warehouses, and efficient SQL/Scala-based queries while leveraging AWS services like S3, Glue, and EMR. Strong experience with Snowflake and Databricks is preferred.