Caprus IT - Data Engineer - SAS CAPRUS IT PRIVATE LIMITED

  • company name CAPRUS IT PRIVATE LIMITED
  • working location Office Location
  • job type Full Time

Experience: 7 - 7 years required

Pay:

Salary Information not included

Type: Full Time

Location: Hyderabad

Skills: SAS Base, SAS Enterprise Guide, SAS Data Integration Studio, SQL, data warehousing, Data Modeling, Data Quality, Data profiling, SAS ETL development, SAS Advanced Analytics

About CAPRUS IT PRIVATE LIMITED

Job Description

Data Engineer - SAS Job Description As a Data Engineer, you will be responsible for designing, developing, and maintaining data pipelines to extract, transform, and load (ETL) data. You will work closely with data analysts and data scientists to ensure data quality, accuracy, and consistency. Key Responsibilities Extract data from various sources, including databases, files, and APIs. Cleanse and transform data to meet business requirements. Load transformed data into target systems, such as data warehouses, data marts, or data lakes. Monitor data pipelines to identify and resolve data quality issues. Design and implement data models to support business analysis and reporting. Create data marts and data warehouses. Develop and maintain ETL processes using SAS ETL tools (SAS Base, SAS Advanced Analytics, SAS Enterprise Guide, SAS Data Integration Studio). Optimize ETL jobs for performance and scalability. Analyze data to identify trends and insights. Required Skills And Experience 7+ years of experience in SAS ETL development. Strong proficiency in SAS Base, SAS Advanced Analytics, SAS Enterprise Guide, and SAS Data Integration Studio. Experience with data warehousing and data modeling concepts. Knowledge of SQL and database concepts. Understanding of data quality and data profiling techniques. Strong problem-solving and analytical skills. Excellent communication and interpersonal skills. Preferred Skills Experience with cloud-based data platforms (AWS, Azure, GCP). Knowledge of big data technologies (Hadoop, Spark). Experience with machine learning and AI techniques. Understanding of financial services and credit risk (ref:hirist.tech),