Data Engineer Job vacancy at Harman
Data Engineer Job vacancy at Harman
Data Engineer Job vacancy at Harman: Hiring freshers as Data Engineer from any batch, Interested Candidates can apply this job as soon as possible before link expires, Apply Link and Job details for this recruitment is given below. Please read carefully before applying this Job.
Data Engineer Job vacancy at Harman Job details:
| Company | HARMAN |
| Job Role | DATA ENGINEER |
| Qualification | B.E/B.Tech |
| Batch | Any |
| Salary | Rs 4-8 LPA |
| Join whatsapp | Click Here |
DESCRIPTION & REQUIREMENTS
Preferred experience includes:
Design and develop data-ingestion frameworks, real-time processing solutions, and data processing and transformation frameworks.
Deploy and provide support for application codes and analytical models.
Create and enhance data solutions that enable seamless integration and flow of data across the data ecosystem.
Provide business analysis and develop ETL code and scripting to meet all technical specifications and business requirements according to the established designs.
Develop real-time data ingestion and stream-analytic solutions leveraging technologies such as Kafka, Apache Spark (SQL, Scala, Java), Python and Hadoop Platform.
Utilize multiple development languages/tools such as Python, SPARK, Hive, Presto, Java to build prototypes and evaluate results for effectiveness and feasibility.
Develop application systems that comply with the standard system development methodology and concepts for design, programming, backup, and recovery to deliver solutions that have superior performance and integrity.
Offer system support as part of a support rotation with other team members.
Operationalize open source data-analytic tools for enterprise use.
Ensure data governance policies are followed by implementing or validating data lineage, quality checks, and data classification.
Understand and follow the company development lifecycle to develop, deploy and deliver the solutions.
Designs and develops data ingestion frameworks leveraging open source tools and data processing frameworks.
Designs and develops complex and critical data projects.
Develops, implements, and supports application codes and analytical models.
Creates and enhances data solutions that enable seamless integration and flow of data across the data ecosystem.
Designs and develops real-time processing solutions.
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