Transnational Software Services PVT Ltd
Data Engineer at Transnational Software Services PVT Ltd Orlando,...
Transnational Software Services PVT Ltd - Orlando, Florida, us, 32885
Work at Transnational Software Services PVT Ltd
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Overview
Data Engineer job at Transnational Software Services PVT Ltd. Orlando, FL.
Job Title: Data Engineer
Location:
Orlando, FL Type:
6-Month Contract Key Responsibilities: Design and build scalable
ETL/ELT pipelines
using
Python
,
Airflow
, and
AWS Glue/Lambda Develop and maintain
DBT models
to transform raw data into structured, analytics-ready datasets in
Snowflake Work closely with business and analytics teams to ensure data accuracy, quality, and accessibility Integrate and manage data from
Kansys billing systems
into centralized data warehouses Monitor, optimize, and troubleshoot data pipelines and workflows in production Ensure best practices for cloud data engineering, including cost control, performance optimization, and secure data handling Required Skills: 7 years of experience in
data engineering
or related field Proficiency in
Python
for data manipulation and scripting Hands-on experience with
Apache Airflow
for workflow orchestration Strong knowledge of
AWS services
(e.g., S3, Glue, Lambda, Redshift) Experience with
Snowflake
data warehouse Advanced SQL and
DBT
modeling experience Familiarity with
Kansys
or other telecom billing platforms is preferred Experience working with structured and semi-structured data formats (e.g., JSON, Parquet)
#J-18808-Ljbffr
Orlando, FL Type:
6-Month Contract Key Responsibilities: Design and build scalable
ETL/ELT pipelines
using
Python
,
Airflow
, and
AWS Glue/Lambda Develop and maintain
DBT models
to transform raw data into structured, analytics-ready datasets in
Snowflake Work closely with business and analytics teams to ensure data accuracy, quality, and accessibility Integrate and manage data from
Kansys billing systems
into centralized data warehouses Monitor, optimize, and troubleshoot data pipelines and workflows in production Ensure best practices for cloud data engineering, including cost control, performance optimization, and secure data handling Required Skills: 7 years of experience in
data engineering
or related field Proficiency in
Python
for data manipulation and scripting Hands-on experience with
Apache Airflow
for workflow orchestration Strong knowledge of
AWS services
(e.g., S3, Glue, Lambda, Redshift) Experience with
Snowflake
data warehouse Advanced SQL and
DBT
modeling experience Familiarity with
Kansys
or other telecom billing platforms is preferred Experience working with structured and semi-structured data formats (e.g., JSON, Parquet)
#J-18808-Ljbffr