Senior Data Engineer - Hybrid

Senior Data Engineer Basic Details Experience: 47 Years Work Mode: Hybrid Only Bachelor's degree in Computer Science or related field (or equivalent experience) 3+ years of experience in Data Warehousing, Data Engineering, or Data Integration projectsExpert in data warehousing concepts, strategies, and toolsStrong SQL background with solid knowledge of relational databases SQL Server, PostgreSQL, MySQLStrong hands-on experience with GCP services BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Functions, and GCSGood-to-have knowledge of SSRS and SSISKnowledge of AWS and Azure Cloud is a plusExperience with Informatica PowerExchange for Mainframe, Salesforce, and other modern data sourcesExperience in data integration using APIs, XML, and JSONIn-depth understanding of DBMS, OLAP, ETL frameworks, Data Warehousing, and Data LakesGood understanding of SDLC, Agile, and Scrum processesProficient in working with large volumes of business data with strong database design knowledgeDemonstrated experience leading distributed teams across multiple locationsWork with business users and stakeholders to understand and translate business processes into data requirements Identify and implement data transformation and cleansing requirements Develop highly scalable, reliable, and high-performance data processing pipelines (ETL) from various source systems to the Enterprise Data Warehouse Develop conceptual, logical, and physical data models with metadata, data lineage, and technical definitions Design, develop, and maintain ETL workflows and mappings using appropriate data load techniques Provide research, high-level design, and effort estimates for data transformation and integration projects Provide production support for ETL processes to ensure timely data availability for reporting Leverage data from ERP, CRM, and HRIS applications for modeling, extraction, and transformation into analytics-ready formats Define and document BI use cases , prototypes, and deployment of BI solutions Develop and support data governance processes; identify trends, patterns, outliers, and quality issues across reports and dashboards Train business end-users, IT analysts, and developers on BI tools and processes Senior Data Engineer Basic Details Experience: 47 Years Work Mode: Hybrid Only Bachelor's degree in Computer Science or related field (or equivalent experience) 3+ years of experience in Data Warehousing, Data Engineering, or Data Integration projectsExpert in data warehousing concepts, strategies, and toolsStrong SQL background with solid knowledge of relational databases SQL Server, PostgreSQL, MySQLStrong hands-on experience with GCP services BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Functions, and GCSGood-to-have knowledge of SSRS and SSISKnowledge of AWS and Azure Cloud is a plusExperience with Informatica PowerExchange for Mainframe, Salesforce, and other modern data sourcesExperience in data integration using APIs, XML, and JSONIn-depth understanding of DBMS, OLAP, ETL frameworks, Data Warehousing, and Data LakesGood understanding of SDLC, Agile, and Scrum processesProficient in working with large volumes of business data with strong database design knowledgeDemonstrated experience leading distributed teams across multiple locationsWork with business users and stakeholders to understand and translate business processes into data requirements Identify and implement data transformation and cleansing requirements Develop highly scalable, reliable, and high-performance data processing pipelines (ETL) from various source systems to the Enterprise Data Warehouse Develop conceptual, logical, and physical data models with metadata, data lineage, and technical definitions Design, develop, and maintain ETL workflows and mappings using appropriate data load techniques Provide research, high-level design, and effort estimates for data transformation and integration projects Provide production support for ETL processes to ensure timely data availability for reporting Leverage data from ERP, CRM, and HRIS applications for modeling, extraction, and transformation into analytics-ready formats Define and document BI use cases , prototypes, and deployment of BI solutions Develop and support data governance processes; identify trends, patterns, outliers, and quality issues across reports and dashboards Train business end-users, IT analysts, and developers on BI tools and processes