Data Engineer

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October 31

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TWO95 International, Inc

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SaaS • Cybersecurity • Artificial Intelligence

TWO95 International, Inc. is a global leader in providing comprehensive IT solutions, specializing in generative AI, digital transformation, edge computing, and cybersecurity. With over 15 years of industry expertise, the company delivers tailored, flexible solutions to meet the unique needs of its clients across the globe. TWO95 International operates with a team of highly skilled analysts, architects, and software engineers who are dedicated to innovation and excellence. Headquartered in the US with offices in India, the company offers managed services that seamlessly integrate and support digital transformation efforts 24/7, acting as an extension of clients' IT teams. They also have a proven track record of supporting Fortune 500 companies, enhancing their operational efficiency and security posture through cutting-edge technology solutions. Their services include managed services, enterprise digital transformation, cybersecurity, and compliance with global best practices.

51 - 200 employees

Founded 1993

☁️ SaaS

🔒 Cybersecurity

🤖 Artificial Intelligence

📋 Description

• Design and implement core data analytic platform components that would be shared extended to different analytics group. • Review approaches and completed data pipelines against platform best practices and patterns. • Maintain and design a common data flow pipeline data transformation activities such as Extract Transform Load (ETL). • Support and troubleshoot the data flow activities on cloud data warehouse environments. • Develop data pipeline code using Python, Java, AWS Lambda and/or Azure Data Factory • Perform requirements planning, monitoring, and end-to-end requirements management throughout the data asset development life-cycle. • Direct and help other developers and analyst to ensure data platform patterns are adhered. • Designing, building, and documenting RESTful API using OpenAPI specification tools such as Swagger • Microsoft PowerBI • Snowflake Data warehouse, MS SQL Data warehouse • Apache Spark or Hadoop • SparkR • Linux/PowerShell scripting • AWS Lambda or Azure function

🎯 Requirements

• Design and implement core data analytic platform components that would be shared extended to different analytics group. • Review approaches and completed data pipelines against platform best practices and patterns. • Maintain and design a common data flow pipeline data transformation activities such as Extract Transform Load (ETL). • Support and troubleshoot the data flow activities on cloud data warehouse environments. • Develop data pipeline code using Python, Java, AWS Lambda and/or Azure Data Factory • Perform requirements planning, monitoring, and end-to-end requirements management throughout the data asset development life-cycle. • Direct and help other developers and analyst to ensure data platform patterns are adhered. • Designing, building, and documenting RESTful API using OpenAPI specification tools such as Swagger • Microsoft PowerBI • Snowflake Data warehouse, MS SQL Data warehouse • Apache Spark or Hadoop • SparkR • Linux/PowerShell scripting • AWS Lambda or Azure function • Desired Skills : • Required Experience : • Bachelor’s degree in computer Science or related field • 5-7 years’ experience in the following: • Snowflake, Databricks management, • Python and AWS Lambda • Scala and/or Java • Data integration service, SQL and Extract Transform Load (ELT) • Azure or AWS for development and deployment • Jira or similar tool during SDLC • Experience managing codebase using Code repository in Git/GitHub or Bitbucket • Experience working with a data warehouse. • Familiarity with structured and semi-structured data formats including JSON, Avro, ORC, Parquet, or XML • Exposure to working in an agile work environment.

🏖️ Benefits

• If interested please send your updated resume to **: rehana.j@two95intl.com **and include your rate/Salary requirement along with your contact details with a suitable time when we can reach you. • If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. • We look forward to hearing from you at the earliest.