Senior Specialist - Data Engineering

Location- Bellandure bangalore

Experience- 12- 16 years

Shift- 1.30pm- 10.30pm

JD Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design An IT System Support Analyst designs and develop data pipelines that are resilient to change modular flexible scalable reusable and cost effective

The expectation for this role is 12- 16 years of relevant experience

Design develop and maintain data pipelines and ETL processes using Microsoft Azure services eg Azure Data Factory Azure Synapse Azure Databricks Azure Fabric

Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs eg Azure Data Lake Storage Gen 2 Azure Blob storage

Experience in utilizing SQL DML to query modern RDBMS in an efficient manner eg SQL Server PostgreSQL

Good Handson in PowerApps Power Automate Power BI

Knowledge of RESTAPI OAuth

Collaborate with data architects and other stakeholders to understand data requirements and deliver highquality data solutions

Optimize data pipelines in the Azure environment for performance scalability and reliability

Collect clean and validate data from multiple sources to ensure accuracy and reliability

Ensure data quality and integrity through data validation techniques and frameworks

Monitor and troubleshoot data pipeline issues to ensure timely resolution

Stay current with industry trends and emerging technologies to ensure our data solutions remain cuttingedge

Manage the CICD process for deploying and maintaining data solutions

Good to have knowledge of any programming language like C Java JavaScript Python etc

Required Qualifications

Bachelors degree in computer science Engineering or a related field or equivalent experience

810 years of proven experience as a Data Engineer or similar role dealing with data and ETL processes

Strong knowledge of Microsoft Azure services including Azure Data Factory Azure Synapse Azure Databricks Azure Blob Storage and Azure Data Lake Gen 2

Experience utilizing SQL DML to query modern RDBMS in an efficient manner eg SQL Server PostgreSQL

Strong understanding of Software Engineering principles and how they apply to Data Engineering eg CICD version control testing

Experience with Data Analysis tools

Strong problemsolving skills and attention to detail

Excellent communication and collaboration skills

Learning agility

Experience efficiently querying API endpoints as a data source

Understanding of the Azure environment and related services such as subscriptions resource groups etc

Understanding of Git workflows in software development

Using Azure DevOps pipeline and repositories to deploy and maintain solutions

Understanding of Ansible and how to use it in Azure DevOps pipelines

supports global operations supporting business requirements across the world Accordingly the work hours for employees will be aligned to support business requirements

The standard work week will be Monday WFH and Tuesday to Friday WFO