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Data Engineer at InfyStrat

, , India -

Full Time

Start Date

Immediate

Expiry Date

15 Jan, 26

Salary

0.0

Posted On

17 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL Processes, Data Quality, Data Integrity, Data Models, Big Data Technologies, Data Processing, Apache Kafka, Spark, Python, Java, Scala, Analytical Skills, Communication Skills, Teamwork Skills

Industry

technology;Information and Media

Description

At InfyStrat, we are on the lookout for an innovative and skilled Data Engineer to join our dynamic team. In this position, you will be responsible for building and maintaining our data architecture, ensuring that our data is accessible, reliable, and timely. You will leverage your expertise to design robust data pipelines and optimize data flows to support analytical and operational needs across the organization. Collaborating with data analysts, data scientists, and other stakeholders, you will gather requirements to create scalable data solutions that drive business intelligence and insights. If you have a passion for data and enjoy tackling complex challenges, we want to hear from you! Core Responsibilities Design, develop, and maintain data pipelines to support ETL processes. Ensure data quality and integrity across various data sources and systems. Collaborate with cross-functional teams to identify data requirements and create data models. Utilize big data technologies for large-scale data processing. Monitor and troubleshoot performance issues related to data processes. Stay updated on the latest technologies and best practices within the data engineering field. Degree in Computer Science, Information Technology, or a related field. 5 years of experience in data engineering or related roles. Expertise in SQL and experience with multiple data storage solutions (NoSQL, relational databases). Familiarity with cloud computing platforms (AWS, Azure, Google Cloud). Experience with data processing frameworks such as Apache Kafka, Spark, or similar. Programming experience in Python, Java, or Scala. Strong analytical skills and the ability to work with complex data sets. Excellent communication and teamwork skills.

Responsibilities

The Data Engineer will design, develop, and maintain data pipelines to support ETL processes while ensuring data quality and integrity across various data sources. Collaboration with cross-functional teams is essential to identify data requirements and create scalable data solutions.