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Phinia Hiring Data Engineer: PHINIA Freshers Job Drive One of the biggest chances for job seekers to launch their IT careers is provided by 2024 Hiring. PHINIA is employing alumni of the class of 2024. For additional details about PHINIA Off Campus Hiring 2024, including job role responsibilities, eligibility requirements, a description, and necessary skills, please see the post below.

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About Phinia

At PHINIA, we are aware that the decisions we make now will have a significant influence on the world we live in later. For this reason, we work hard every day to increase fuel economy and performance while simultaneously making investments in the future to create a more sustainable future.

These days, we are producing aftermarket parts, electrical systems, and fuel systems that are high-quality and efficient. By keeping cars and industrial applications operating efficiently, this guarantees that combustion engines operate as cleanly and at maximum performance as feasible, saving resources from having to develop new ones before they are actually needed. We keep creating products that are easily recyclable and remanufacturing them as part of our efforts to create a circular model of sustainability.

Phinia Hiring Data Engineer Details

Job Role: Data Analyst/Data Engineer

Company Website:

Qualification: Any Graduate Degree

Experience: Fresher

Batch: Recent Batches

Salary: Best in Industry

Job Location: Bengaluru

Last Date: ASAP

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Roles & responsibilities

Below are the Roles & Responsibilities –

  • Assist Azure Data Factory with professional-grade assistance, swiftly addressing and resolving any technical problems.
  • To ensure effective data processing and integration, track and improve data pipelines.
  • Examine and fix problems with data integration by determining the underlying reasons and putting workable fixes in place.
  • Work together with development teams to diagnose and fix issues pertaining to data.
  • Support ELT procedures created and scheduled in WhereScape by quickly responding and resolving any technical concerns.
  • Create and modify reliable data pipelines to guarantee accurate and timely data extraction, transformation, and loading (ETL) into our data warehouse.
  • Take proactive steps to keep an eye on and improve Azure Data Factory’s data pipeline performance.
  • Improve overall efficiency by regularly analysing performance and putting optimisations into practice.

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Required Skills & Qualifications

Below are the Required Skills & Qualifications –

  • A bachelor’s degree in information technology, computer science, or a similar discipline.
  • Demonstrated expertise in maintaining and debugging Azure Data Factory.
  • Solid knowledge of data warehousing, ETL procedures, and data integration ideas.
  • Adapt at using scripting languages for automated tasks, such as PowerShell and Python.
  • Strong familiarity with Azure’s data and analytics offerings.
  • Strong analytical and problem-solving abilities.
  • Strong interpersonal and communication abilities.
  • A benefit are Azure qualifications, such as Microsoft Certified: Azure Data Engineer Associate.
  • It would be advantageous to have knowledge with Azure Synapse Analytics, Azure SQL Database, and Azure Data Lake Storage.
  • While not required, WhereScape experience would also be advantageous.
  • Additionally advantageous would be Power BI experience.
  • Proficiency with ETL procedures (extract, transform, load).
  • Knowledge of best practices and procedures for data integration.
  • Proficiency in the architecture and components of Azure Data Factory, encompassing pipeline creation and management.
  • Knowledge of Azure Data Factory pipelines, triggers, related services, data flows, and datasets.
  • Strong SQL abilities for query optimisation, data debugging, and database querying.
  • Proficiency in data transformation languages such as SQL.
  • Understanding of change management procedures to manage ETL workflow changes and modifications.
  • Knowledge of version control systems (such as Git) for the administration of configurations and code.
  • Effective Communication Skills: Capability to get requirements, comprehend business demands, and provide efficient data solutions while collaborating with other members of the data team and business stakeholders.

Also Apply:

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How to apply for Phinia Hiring Data Engineer

Interested and qualified applicants are urged to apply before the deadline.

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