
11 - 50 employees
Founded 2002
🤝 B2B
B2B
SR International Incorporation is a trusted partner in IT, established in 2002. It is one of the fastest growing and reputed providers of Information Technology Services and Solutions in the United States. The company prides itself on its highly skilled IT resources and unique engagement model, consistently delivering high performance to its clients. SR International's expertise spans Cloud Computing, Mobility, Web Technologies, . Net, Java, ERP, and CRM.
🔥 1 minute ago
Airflow
Amazon Redshift
Apache
AWS
Cassandra
Cloud
DynamoDB
EC2
Hadoop
Informatica
Java
Kafka
NoSQL
Oracle
Postgres
Python
Scala
Snowflake
Spark
SQL
Vault
C++
Where this job comes from
Posted on SR International Incorporation's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

11 - 50 employees
Founded 2002
🤝 B2B
B2B
SR International Incorporation is a trusted partner in IT, established in 2002. It is one of the fastest growing and reputed providers of Information Technology Services and Solutions in the United States. The company prides itself on its highly skilled IT resources and unique engagement model, consistently delivering high performance to its clients. SR International's expertise spans Cloud Computing, Mobility, Web Technologies, . Net, Java, ERP, and CRM.
• Design, build, and maintain scalable data pipeline architectures • Develop cloud-based data solutions using AWS services such as S3, Glue, Redshift, EMR, Athena, Kinesis, and Lambda • Build and maintain data orchestration workflows using Apache Airflow, AWS Step Functions, or similar tools • Extract, transform, integrate, and load data from multiple sources using SQL and big data technologies • Develop and optimize data environments supporting statistical analysis, predictive modeling, machine learning, and research • Collaborate with data scientists, research analysts, and policy analysts to support reproducible research and data-driven decision-making • Identify and resolve data quality issues through validation, monitoring, and root-cause analysis • Automate manual processes and improve data delivery, infrastructure scalability, and operational efficiency • Develop dashboards, reports, analytical models, and decision-support tools • Build monitoring, alerting, and logging frameworks for data pipelines • Support data conversions associated with system modernization and replacement projects • Ensure compliance with data governance, privacy, security, and Commonwealth policies • Collaborate with executive, data, design, and support teams to address technical issues and improve data systems • Support the Pennsylvania Longitudinal Data System (PALDS) for the Commonwealth of Pennsylvania
• 5+ years of hands-on experience with AWS cloud services, including S3, EC2, Glue, EMR, RDS, Redshift, Athena, Lambda, and DynamoDB • 5+ years of programming/scripting experience with Python, R, Java, C++, or Scala • 5+ years of experience with SQL and relational/NoSQL databases, including Oracle, SQL Server, PostgreSQL, and Cassandra • 5+ years of experience with Git, version control, and CI/CD pipelines • Strong knowledge of data modeling, including dimensional modeling, Data Vault, and star/snowflake schemas • Experience with AWS Glue Data Catalog, metadata management, and data cataloging • Understanding of data governance, data lineage, and data quality frameworks • Experience designing and integrating REST APIs • Hands-on experience with Hadoop, Spark, and Kafka • Experience with Apache Airflow, Azkaban, or Luigi • Experience with Informatica, MuleSoft, Talend, or TIBCO • Experience with Storm or Spark Streaming • Advanced SQL knowledge and experience working with large, complex datasets • Strong analytical, problem-solving, project management, and organizational skills • Experience supporting cross-functional teams in a dynamic environment • Ability to work with large, complex, and confidential datasets • Work authorization in the USA / visa status information required • Availability for a second-round in-person interview in Harrisburg, Pennsylvania for finalists
• Remote work arrangement • Work hours Monday–Friday, 8:00 AM–4:30 PM • Text updates about application available • Message and data rates may apply; option to opt out of text messages
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