Grethena - Senior Data Engineer - ETL

3 weeks ago

Chennai, India Grethena Full time

Company Description :Company : Grethena Private Limited.Location : Chennai.Experience : 5+ years.Salary : As per market standards.Job Title : Senior Data us :Grethena Shaping The Digital Landspace Our team of experts has years of experience in App, AI, OTT Platform and Booking App Development.We are passionate about helping our clients succeed and we take pride in delivering high-quality work.Reports To : The Senior Data Engineer will report to Line Manager.Job Overview :We are seeking an experienced Senior Data Engineer to join our dynamic team.The ideal candidate will be responsible for Design and implement the data engineering :- Strong Skill in Big Query, GCP Cloud Data Fusion (for ETL/ELT) and PowerBI.- Need to have strong skill in Data Pipelines.- Able to work with Power BI and Power BI Reporting.- Design and implement the data engineering framework and data pipelines using Databricks and Azure Data Factory.- Document the high-level design components of the Databricks data pipeline framework.- Evaluate and document the current dependencies on the existing DEI toolset and agree a migration plan.- Lead on the Design and implementation an MVP Databricks framework.- Document and agree an aligned set of standards to support the implementation of a candidate pipeline under the new framework.- Support integrating a test automation approach to the Databricks framework in conjunction with the test engineering function to support CI/CD and automated testing.- Support the development teams capability building by establishing an L&D and knowledge transition approach.- Support the implementation of data pipelines against the new framework in line with the agreed migration plan.- Ensure data quality management including profiling, cleansing and deduplication to support build of data products for :Educational Background :- Bachelors degree in Software Engineering, Computer Science, or a related Knowledge and Expertise :- Experience working in Azure Cloud using Azure SQL, Azure Databricks, Azure Data Lake, Delta Lake, and Azure DevOps.- Proficient in Python, Pyspark and SQL coding skills.- Profiling data and data modelling experience on large data transformation projects creating data products and data pipelines.- Creating data management frameworks and data pipelines which are metadata and business rules driven using Databricks.- Experience of reviewing datasets for data products in terms of data quality management and populating data schemas set by Data Modellers.- Experience with data profiling, data quality management and data cleansing tools.- ACL Robotics skills.Why Join us ?- Competitive rates.- Opportunities for professional growth and career advancement.- A collaborative and innovative work environment.- The chance to work on cutting-edge projects that impact various industries.- Flexibility of occasional work from home.- Located in Prime location and Nice Office Location.- Fun Fridays and Employer of the month vouchers. (ref:hirist.tech)

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