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About the role
Dear Candidate, We are having opening for Senior Data Engineer - Remote Job Summary: The Senior Data Engineer is responsible for designing, building, and maintaining robust data pipelines using Python, SQL Server (T-SQL, Stored Procedures), and integrating various APIs within a modern Azure infrastructure. The role supports critical data operations in regulated environments. Shift Time: US Eastern business hours (9 AM 6 PM EDT), which corresponds to 6:30 PM 3:30 AM IST. The customer should be flexible in regard to late timing - say may be till 1:30 pm (IST) Position / DesignationSenior Data EngineerQualificationBachelors degree in Computer Science, Engineering, or related field (or equivalent experience)Years of Experience4-6 YearsPermanent / Contract (If contract, period )PermanentOffice / Remote / Hybrid India (remote)Number of post01GenderMale/FemaleAnnual CTC / SalaryAs per industrySelection ProcessOnline Job Role & Responsibility - Design and implement scalable ETL pipelines with Python and SQL Server for data ingestion, transformation, and integration from diverse sources, including RESTful APIs. - Develop and optimize T-SQL stored procedures to fulfill business logic and reporting needs. - Architect secure, productive data workflows leveraging Azure Data Factory, Azure SQL, and Azure Functions. - Ensure data quality, lineage, and compliance with regulations such as HIPAA and SOC2. - Collaborate with software engineering teams to align data structures and APIs with application requirements, including those based on .NET and C++ environments. - Work cross-functionally with data analysts, security engineers, and DevOps to support comprehensive data needs. - Monitor and troubleshoot pipeline failures and data discrepancies. - Lead data governance initiatives, best practices, and performance tuning efforts. - Mentor junior engineers and participate in peer code reviews Required Skills - Strong proficiency in SQL Server, including stored procedures and performance tuning. - Advanced skills in Python for ETL development and automation. - Hands-on experience with Azure data services such as Data Factory, Blob Storage, and Azure SQL. - Experience integrating data from RESTful APIs and third-party sources. - Knowledge of data privacy and compliance standards, especially HIPAA and SOC2, relevant to financial and healthcare sectors. - Strong problem-solving abilities and capacity to work independently in a fast-paced, regulated environment. - Exposure to cybersecurity data, SIEM tools, or SOC operations is advantageous. - Excellent written and verbal communication skills. - Understanding of data modeling and warehousing concepts - Familiarity with Power BI or other data visualization tools - Knowledge of .NET Framework and C#-based APIs, particularly in data consumption contexts. .Joining DateImmediate Dear Candidate, We are having opening for Senior Data Engineer - Remote Job Summary: The Senior Data Engineer is responsible for designing, building, and maintaining robust data pipelines using Python, SQL Server (T-SQL, Stored Procedures), and integrating various APIs within a modern Azure infrastructure. The role supports critical data operations in regulated environments. Shift Time: US Eastern business hours (9 AM 6 PM EDT), which corresponds to 6:30 PM 3:30 AM IST. The customer should be flexible in regard to late timing - say may be till 1:30 pm (IST) Position / DesignationSenior Data EngineerQualificationBachelors degree in Computer Science, Engineering, or related field (or equivalent experience)Years of Experience4-6 YearsPermanent / Contract (If contract, period )PermanentOffice / Remote / Hybrid India (remote)Number of post01GenderMale/FemaleAnnual CTC / SalaryAs per industrySelection ProcessOnline Job Role & Responsibility - Design and implement scalable ETL pipelines with Python and SQL Server for data ingestion, transformation, and integration from diverse sources, including RESTful APIs. - Develop and optimize T-SQL stored procedures to fulfill business logic and reporting needs. - Architect secure, productive data workflows leveraging Azure Data Factory, Azure SQL, and Azure Functions. - Ensure data quality, lineage, and compliance with regulations such as HIPAA and SOC2. - Collaborate with software engineering teams to align data structures and APIs with application requirements, including those based on .NET and C++ environments. - Work cross-functionally with data analysts, security engineers, and DevOps to support comprehensive data needs. - Monitor and troubleshoot pipeline failures and data discrepancies. - Lead data governance initiatives, best practices, and performance tuning efforts. - Mentor junior engineers and participate in peer code reviews Required Skills - Strong proficiency in SQL Server, including stored procedures and performance tuning. - Advanced skills in Python for ETL development and automation. - Hands-on experience with
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