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Data Engineer

Data Engineer

World Wide Technology

0 years

0 Lacs

India

Posted:4 days ago| Platform:

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Skills Required

data consulting teradata oracle sql server database aws redshift azure query etl talend logical engineering dataflow support design management security relational storage scripting reliability efficiency development algorithms metrics checks processing flow automation logging monitoring model informatica reporting power tableau

Work Mode

On-site

Job Type

Full Time

Job Description

The Consulting Data Engineer role requires experience in both traditional warehousing technologies (e.g. Teradata, Oracle, SQL Server) and modern database/data warehouse technologies (e.g., AWS Redshift, Azure Synapse, Google Big Query, Snowflake), as well as expertise in ETL tools and frameworks (e.g. SSIS, Azure Data Factory, AWS Glue, Matillion, Talend), with a focus on how these technologies affect business outcomes. This person should have experience with both on-premise and cloud deployments of these technologies and in transforming data to adhere to logical and physical data models, data architectures, and engineering a dataflow to meet business needs. This role will support engagements such as data lake design, data management, migrations of data warehouses to the cloud, and database security models, and ideally should have experience in a large enterprise in these areas.

Develops high performance distributed data warehouses, distributed analytic systems and cloud architectures
Participates in developing relational and non-relational data models designed for optimal storage and retrieval
Develops, tests, and debugs batch and streaming data pipelines (ETL/ELT) to populate databases and object stores from multiple data sources using a variety of scripting languages; provide recommendations to improve data reliability, efficiency and quality
Works along-side data scientists, supporting the development of high-performance algorithms, models and prototypes
Implements data quality metrics, standards, guidelines; automates data quality checks / routines as part of data processing frameworks; validates flow of information
Ensures that Data Warehousing and Big Data systems meet business requirements and industry practices including but not limited to automation of system builds, security requirements, performance requirements and logging/monitoring requirements

Knowledge, Skills, And Abilities

Ability to translate a logical data model into a relational or non-relational solutionExpert in one or more of the following ETL tools: SSIS, Azure Data Factory, AWS Glue, Matillion, Talend, Informatica, FivetranHands on experience in setting up End to End cloud based data lakesHands-on experience in database development using views, SQL scripts and transformationsAbility to translate complex business problems into data-driven solutionsWorking knowledge of reporting tools like Power BI , Tableau etcAbility to identify data quality issues that could affect business outcomesFlexibility in working across different database technologies and propensity to learn new platforms on-the-flyStrong interpersonal skillsTeam player prepared to lead or support depending on situation"

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Data Engineer