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Infogain
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Azure Integration Services Engineer (Standard)

Azure Integration Services Engineer (Standard)

Infogain

7 - 12 years

9 - 14 Lacs

bengaluru

Posted:2 weeks ago| Platform:

Apply

Skills Required

customer acquisition root cause analysis metadata project management data structures big data operations analytics sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

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 data technologies.
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 data data 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 data data stores.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.

EXPERIENCE

4.5-6 Years

SKILLS

Primary Skill: Data Engineering
Sub Skill(s): Data Engineering
Additional Skill(s): Kafka, Python, Scala, ETL, Apache Spark, Azure Data Factory

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