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Tecqubes Technologies
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DataOps Engineer ( ETL )

DataOps Engineer ( ETL )

Tecqubes Technologies

3 - 4 years

5 - 6 Lacs

Kolkata Mumbai New Delhi Hyderabad Pune Chennai Bengaluru

Posted:2 weeks ago| Platform:

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Skills Required

data science Coding Agile Data quality Agile methodology big data Data warehousing SQL coding SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Experience : 3-4 years

3 Yrs relevant

ETL : ADF, Databricks, GitHub, DevOps, SQL, Python

Scope

Responsible for designing, developing and deploying ETL processes, work with petabytes of data through our big data platform and enable BI and data science initiatives.

Responsibilities

Be autonomy to develop ETL processes and use CI/CD and help other team members to develop their jobs;

Create reusable structures or processes that can be used in different projects, developing code to automate jobs using real-time services to remove dependencies;

Create process and dataflow documentation;

Act as level 3 in the support and quality of processes, identifying root causes for the L3 tickets;

Work on data service transformations and Data Quality using SQL: analyzing redundant and inconsistent data;

Work in Agile methodology, participating in ceremonies during the sprint;

Align the deliverables and deadlines with the teams involved in the project, analyzing the impacts that team and project can have

Participate Data Engineering OKR process, define actions and keep them up to date

Share the knowledge between BrewDat team (India and Zones).

Work with reusable structures or processes that can be used in different project.

Develop code to automate jobs using real-time services and parameterized coding to remove dependencies.

Required Knowledge

Concepts

Technical

Data Warehouse, ETL/ELT, Cloud, Data Flow, Lakehouse, Agile, Big Data, Spark, Semantic Layer, Security, DataViz

ADF, Databricks, GitHub, DevOps,SQL, Python, PBI

Soft Skills

Curiosity; Logical/Critical thinking; Communication; Resilience; Collaboration

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