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Senior Data Engineer

Senior Data Engineer

Luxoft

4 - 7 years

13 - 17 Lacs

mumbai pune chennai

Posted:2 weeks ago| Platform:

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Skills Required

performance tuning data warehousing microsoft azure sql data modeling azure databricks kubernetes python azure data lake azure synapse pyspark azure data factory docker postgresql powershell bash shell scripting azure cosmosdb etl unix

Work Mode

Work from Office

Job Type

Full Time

Job Description

Project description
The primary goal of the project is the modernization, maintenance and development of an eCommerce platform for a big US-based retail company, serving millions of omnichannel customers each week.Solutions are delivered by several Product Teams focused on different domains - Customer, Loyalty, Search and Browse, Data Integration, Cart.Current overriding priorities are new brands onboarding, re-architecture, database migrations, migration of microservices to a unified cloud-native solution without any disruption to business.

Responsibilities

We are looking for Data Engineer who will be responsible for designing a solution for a big retail company. The main focus is to support processing of big data volumes and integrate solution to current architecture.

Skills
Must have

Strong, recent hands-on expertise with Azure Data Factory and Synapse is a must (3+ years).

Strong expertise in designing and implementing data models, including conceptual, logical, and physical data models, to support efficient data storage and retrieval.

Strong knowledge of Microsoft Azure, including Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks, pySpark for building scalable and reliable data solutions.

Extensive experience with building robust and scalable ETL/ELT pipelines to extract, transform, and load data from various sources into data lakes or data warehouses.

Ability to integrate data from disparate sources, including databases, APIs, and external data providers, using appropriate techniques such as API integration or message queuing.

Proficiency in designing and implementing data warehousing solutions (dimensional modeling, star schemas, Data Mesh, Data/Delta Lakehouse, Data Vault)

Proficiency in SQL to perform complex queries, data transformations, and performance tuning on cloud-based data storages.

Experience integrating metadata and governance processes into cloud-based data platforms

Certification in Azure, Databricks, or other relevant technologies is an added advantage

Experience with cloud-based analytical databases.

Experience with Azure MI, Azure Database for Postgres, Azure Cosmos DB, Azure Analysis Services, and Informix.

Experience with Python and Python-based ETL tools.

Experience with shell scripting in Bash, Unix or windows shell is preferable. Nice to have

Experience with Elasticsearch

Familiarity with containerization and orchestration technologies (Docker, Kubernetes).

Troubleshooting and Performance TuningAbility to identify and resolve performance bottlenecks in data processing workflows and optimize data pipelines for efficient data ingestion and analysis.

Collaboration and CommunicationStrong interpersonal skills to collaborate effectively with stakeholders, data engineers, data scientists, and other cross-functional teams.

Location - pune,mumbai,chennai,Bengaluru

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Senior Data Engineer