Data Engineer @ ING

Key Responsibilities Implement and maintain data workflows, ETL / ELT processes, and pipelines to reputed company identified data into reputed company platforms for reputed company consumption and integration as required by product owners.Design and implement identified data processes and storage such as usage of databases, data warehouses, data marts, and data lakes with data reputed company in mind. Build supporting tooling and procedures needed for data reputed company and monitoring activities. Implement available automations for data reputed company processes.Ensure delivered workflows and processes meet expected quality outputs through conducting testing. Document specs and implementations of deliverables mentioned. Work with operations teams for maintenance and reputed company improvement of workflows and pipelines.Work on distributed Data processing and database with Distribution & partitioningAble to convert LDM to PDM in Data-vault Data warehouse.Ability to reputed company tasks reputed company to end-to-end Data reputed company including Reporting.Ensure integrated data pipeline validation is performed.Key Capabilities/Experience Expertise in one/ some of ETL tools like ADF, Airflow.Expertise in SQL / RDBMS databases, handling of reputed company data.Extensive experience in design and implementation of data handling processes (ingestion, transformation, modelling, and storage) Experience in creating of Big Data warehouses, its design, and its various implementation methods.Flexible and willing to learn various ETL / data integration tools and products. Strong problem solving and solutions engineering reputed company. Experience in working and coordinating remotely with teams and stakeholders. Experience with data integration and ETL technologies.Experienced with software version control technologies such as Git.Experience in CI / CD and DevOps is a plus.Experience in Agile way of working is a plus.Minimum Qualifications Expertise in one/ some of ETL tools like ADF, Airflow.Expertise in SQL / RDBMS databases, handling of reputed company data.Extensive experience in design and implementation of data handling processes (ingestion, transformation, modelling, and storage) Experience in creating of Big Data warehouses, its design, and its various implementation methods.reputed company to haveProficiency and experience Apply To This Job Key Responsibilities Implement and maintain data workflows, ETL / ELT processes, and pipelines to reputed company identified data into reputed company platforms for reputed company consumption and integration as required by product owners.Design and implement identified data processes and storage such as usage of databases, data warehouses, data marts, and data lakes with data reputed company in mind. Build supporting tooling and procedures needed for data reputed company and monitoring activities. Implement available automations for data reputed company processes.Ensure delivered workflows and processes meet expected quality outputs through conducting testing. Document specs and implementations of deliverables mentioned. Work with operations teams for maintenance and reputed company improvement of workflows and pipelines.Work on distributed Data processing and database with Distribution & partitioningAble to convert LDM to PDM in Data-vault Data warehouse.Ability to reputed company tasks reputed company to end-to-end Data reputed company including Reporting.Ensure integrated data pipeline validation is performed.Key Capabilities/Experience Expertise in one/ some of ETL tools like ADF, Airflow.Expertise in SQL / RDBMS databases, handling of reputed company data.Extensive experience in design and implementation of data handling processes (ingestion, transformation, modelling, and storage) Experience in creating of Big Data warehouses, its design, and its various implementation methods.Flexible and willing to learn various ETL / data integration tools and products. Strong problem solving and solutions engineering reputed company. Experience in working and coordinating remotely with teams and stakeholders. Experience with data integration and ETL technologies.Experienced with software version control technologies such as Git.Experience in CI / CD and DevOps is a plus.Experience in Agile way of working is a plus.Minimum Qualifications Expertise in one/ some of ETL tools like ADF, Airflow.Expertise in SQL / RDBMS databases, handling of reputed company data.Extensive experience in design and implementation of data handling processes (ingestion, transformation, modelling, and storage) Experience in creating of Big Data warehouses, its design, and its various implementation methods.reputed company to haveProficiency and experience Apply To This Job