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Senior DataOps Engineer

Senior DataOps Engineer

Wipro

5 - 7 years

4 - 8 Lacs

bengaluru

Posted:13 hours ago| Platform:

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Skills Required

architecture etl tools data pipelines scala sql cloud lambda sqs redshift spark big data etl job scheduling jira s3 airflow sla power bi cloud platforms elt data engineering shell agile methodologies scrum agile aws sdlc

Work Mode

Work from Office

Job Type

Full Time

Job Description

About The Role
Role Purpose
The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Essential Skills & Experience:
Experience Level Total 9+ experience with 5 to 7+ years of relevant Data Engineering experience and hands-on Production support experience (rotational shifts but no full night shifts however week-offs may be rotational)
Demonstrable experience in:

Data Engineering Support - Production support for Data Platform on AWS stack

Reporting Platform Support - Production support for Power BI

Strong skills in Redshift, SQL, PL-SQL, Glue, Airflow, Spark, PySpark.

Continuous Job monitoring, tracking production issues, fixing experience on data process and BI reporting systems.

Experience in understanding complex SQL/PL-SQL scripts, shell scripts and coding skills/code modifications in SQL, PL-SQL

Comfortable in code deployment in lower and higher environments, job scheduling/rescheduling, batch monitoring, usage tracking etc.

Strong in supporting report execution-monitoringBO, Power BI

SLA monitoring and Severity & Priority issues tracking

Organizing red team calls, focus group sessions involving cross-functional teams and drive resolution.

Comfortable working with production support rotational shifts

Good understanding of tech stack, ETL & ELT, DW BI, Power BI, Cloud Platforms, specifically AWS, and components EMR, S3, SQS, Step function Lambda, Scala.

Good to have skills:

Working knowledge of the SDLC and Agile Methodologies (Scrum/Jira).

Should be able to work closely within an onshore and offshore model.

Good understanding of Modern Data architectures – Big Data Platform, Lakehouse architecture, Medallion architecture

Strong communication and inter-personal skills.

Ability to work in multi-vendor, cross-functional and cross-cultural teams

Provide Weekly status report for BI Data Ops/BI Support with key KPI’s and AWS cost monitoring

Ability to learn new ETL tools and implement/enhance data pipelines.

Experience of unit tests, integration tests, system tests and acceptance tests.

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Information Technology & Services

Bengaluru

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Senior DataOps Engineer