Senior Engineer, Data Engineering

1 week ago

Bangalore, India Quantiphi Full time

Role: Senior Data Engineer (GCP Cloud) Experience Level: 4 to 7 Years Mumbai, Bangalore, Trivandrum (Hybrid Only) Bachelor’s degree in Computer Science or similar field or equivalent work experience. ● 3+ years of experience on Data Warehousing, Data Engineering or Data Integration projects. ● Expert with data warehousing concepts, strategies, and tools. ● Strong SQL background. ● Strong knowledge of relational databases like SQL Server, PostgreSQL, MySQL. ● Strong experience in GCP & Google BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Function and GCS ● Good to have knowledge on SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS). ● Knowledge of AWS and Azure Cloud is a plus. ● Experience in Informatica Power exchange for Mainframe, Salesforce, and other new-age data sources. ● Experience in integration using APIs, XML, JSONs etc. ● In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework, data-warehousing and Data Lakes ● Good understanding of SDLC, Agile and Scrum processes. ● Highly proficient in working with large volumes of business data and strong understanding of database design and implementation. ● Demonstrated experience of leading a team spread across multiple locations. Identify and implement data transformation/cleansing requirements ● Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse ● Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions ● Design, develop and maintain ETL workflows and mappings using the appropriate data load technique ● Provide research, high-level design, and estimates for data transformation and data integration from source applications to end-user BI solutions. ● Provide production support of ETL processes to ensure timely completion and availability of data in the data warehouse for reporting use. ● Partner with the BI team to evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and data quality. ● Work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions. ● Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into reporting & analytics. ● Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions. ● Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers,quality issues, and continuously validate reports, dashboards and suggest improvements. ● Train business end-users, IT analysts, and developers.

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