Location: 6062 Holden Ct, Fort Mill, SC - 29715 & various unanticipated locations throughout the U.S.
Position Title: Senior Data Engineer (SKT01)
Job Description:
Build and optimize ETL processes with Azure Data Factory and Databricks, ingesting millions of
records into Snowflake daily. Oversee design of end-to-end data pipelines leveraging Azure Data
Factory, Databricks, Snowflake, and MongoDB; personally contribute PySpark and Python code
to accelerate data ingestion by 30%. Migrate crucial data transformations from T-SQL to
PySpark, improving data throughput 3x and curbing infrastructure costs by $1.2M annually.
Deploy Kafka stream to capture clickstream and marketing campaign data, enhancing the team’s
ability to perform near-instant analyses. Collaborate with cloud architects to design cost-
effective, scalable solutions, tracking a 35% reduction in operational overhead. Support Data
Science experiments by preparing datasets in Azure ML and Azure Data Lake, speeding model
deployment cycles by 20%. Travel/relocate to various unanticipated locations throughout the
U.S. for long and short term assignments at client sites. Multiple Positions Available.
Job Requirements:
Requires Masters degree or foreign equivalent in Computer Science, Engineering (any), Business
Administration, Math, Science, or related and 1 year of experience in the job offered or as a
Computer Software Professional. Travel/relocate to various unanticipated locations throughout
the U.S. for long and short term assignments at client sites.
E-mail resume with cover letter to uvasireddy@sloka.tech; EOE