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Infogain
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Azure Integration Services Engineer (Standard)

Azure Integration Services Engineer (Standard)

Infogain

4 - 7 years

6 - 10 Lacs

bengaluru

Posted:4 days ago| Platform:

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Skills Required

sql azure azure data lake relational sql data engineering

Work Mode

Work from Office

Job Type

Full Time

Job Description

Roles & Responsibilities
We are looking for a candidate with 7+ years of experience in a Data Engineer role, having experience using the following software/tools: Technical skills required for ETL engineer in our project : Experience with big data tools: Spark, Kafka Experience with stream-processing systems: Spark-Streaming, Experience with Azure SQL, relational SQL and NoSQL databases, Experience with data pipeline and workflow management tools: Synapse Pipeline, Azure Data Factory Experience with Azure cloud services: Databricks, Synapse Analytics, Azure Function, ADLS Experience with object-oriented/object function scripting languages: Scala ,Python Experience in Terraform ETL Data Engineer Responsibilities Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements, Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and spark on Azure ?big datatechnologies, Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics, Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs, Work with data and analytics experts to strive for greater functionality in our data systems, Qualifications for Data Engineer Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases, Experience building and optimizing ?big datadata pipelines, architectures and data sets, Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement, Strong analytic skills related to working with unstructured datasets, Build processes supporting data transformation, data structures, metadata, dependency and workload management, A successful history of manipulating, processing and extracting value from large disconnected datasets, Working knowledge of message queuing, stream processing, and highly scalable ?big datadata stores, Strong project management and organizational skills, Experience supporting and working with cross-functional teams in a dynamic environment, Experience 5-6 Years Skills Primary Skill: Data Engineering Sub Skill(s): Data Engineering Additional Skill(s): Kafka, Python, Scala, ETL, Apache Spark, Azure Data Factory About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence We accelerate experience-led transformation in the delivery of digital platforms Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP), Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krak?w, Noida, Gurgaon, Mumbai, Pune, and Bengaluru, Show more Show less

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Azure Integration Services Engineer (Standard)