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FINVASIA CAREER
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Data Engineer

Data Engineer

FINVASIA CAREER

0 - 2 years

0 Lacs

Mohali

Posted:2 days ago| Platform: GlassDoor logo

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Skills Required

data support analytics ai etl aws mysql pyspark design python storage rest checks consistency development documentation code engineering software sql processing apache testing debugging architecture technology certifications automation query security

Work Mode

On-site

Job Type

Part Time

Job Description

Job Description for a Junior Data Engineer

Job Title: Junior Data Engineer

Location: Mohali

Experience: 0–2 Years

About the Role

We are looking for a highly motivated and detail-oriented Junior Data Engineer to join our Artificial

Intelligence team. You will play a key role in designing, developing, and maintaining data pipelines and

infrastructure that support our data analytics and AI-driven initiatives. This role involves hands-on experience

with ETL processes and working with modern cloud-based data tools such as AWS Glue, Amazon S3, RDS, and

MySQL, along with PySpark for large-scale data processing

Key Responsibilities

Design, develop, and maintain scalable ETL data pipelines using AWS Glue and PySpark.
Ingest and transform structured and semi-structured data using Python and SQL.
Manage cloud storage and databases including Amazon S3, RDS, and MySQL.
Integrate and validate data from REST APIs, ensuring quality and accuracy.
Collaborate with data scientists, analysts, and product teams to meet business data requirements.
Implement automated data quality checks to ensure consistency and completeness.
Work with AWS SNS to implement real-time alerts and notifications.
Participate in development, documentation, and peer reviews/ code Review of ETL workflows.

Required Skills & Qualifications

0–2 years of hands-on experience in data engineering or software development.
Proficient in Python and SQL; working knowledge of PySpark is a plus.
Experience with AWS services: Glue, S3, RDS, MySQL.
Familiarity with distributed data processing frameworks like Apache Spark.
Understanding of RESTful APIs: consuming, testing, and integrating.
Strong problem-solving and debugging capabilities.
Basic understanding of cloud architecture and data infrastructure.

Preferred Qualifications

Bachelor’s degree in computer science, Information Technology, or a related field.
Relevant cloud certifications (e.g., AWS Certified Data Analytics, AWS Certified Developer).
Familiarity with version control systems such as Git.
Exposure to CI/CD pipelines and automation tools.
Understanding of data modeling, data warehousing, and query optimization.
Awareness of data privacy and security best practices.

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Data Engineer