Data Engineer
Posted 1 month ago
CompanyData Metica
Job RoleData Engineer
Experience2-6 years
QualificationBE, B-TECH , MCA
IndustryIT Services & Consulting
No Of Openings1
Salary4-9 Lac P/A
Work TypeFull Time
Primary Skillslics, Data Stage, Informatica , SQL

Data Engineer Role

Data metica is currently hiring for a data engineer role, and this could be your chance to excel in a dynamic and innovative work environment. In this article, we will delve into the details of the company, job description, qualifications required, and job responsibilities associated with this role. Let’s explore the world of data engineering at Data metica!

About Data metica Company

Data metica is a leading data engineering company that specializes in providing cutting-edge solutions to businesses looking to harness the power of data. With a team of talented professionals and a strong focus on innovation, Data metica has established itself as a trusted partner for organizations seeking to optimize their data infrastructure and drive business growth.

Job Description

As a data engineer at Datametica, you will be responsible for designing, developing, and maintaining data pipelines and ETL processes. Your primary role will involve working closely with cross-functional teams to ensure the efficient flow of data across various systems and platforms. Additionally, you will be required to analyze data requirements, troubleshoot issues, and implement solutions to enhance data quality and integrity.


To be considered for the data engineer role at Datametica, you should possess a strong background in computer science, data management, or a related field. A bachelor’s degree in a relevant discipline is typically required, along with proficiency in programming languages such as Python, SQL, or Java. Experience with big data technologies like Hadoop, Spark, or Kafka is also highly desirable.

Job Responsibilities

As a data engineer at Data metica, you will have a range of responsibilities, including:
Designing and implementing data pipelines to support business operations
Collaborating with stakeholders to understand data requirements and deliver solutions
Monitoring and optimizing data processing workflows to ensure efficiency and accuracy
Troubleshooting data issues and investigating root causes
Staying updated on industry trends and emerging technologies to drive innovation in data engineering practices.

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