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Data Engineer Jobs at Archigos Solutions

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Data Engineer at Archigos Solutions

Archigos Solutions  ·  Bengaluru, India  ·  Posted today

Company
Archigos Solutions
Location
Bengaluru, India
Experience
2-5 years
Education
Bachelor’s degree in Computer Science, Engineering, or related field

About this role

Archigos Solutions is seeking an experienced Data Engineer to design and optimize scalable data pipelines and real-time streaming solutions. You will develop batch and streaming pipelines, implement Spark Structured Streaming solutions, manage Kafka ingestion, and apply Medallion Architecture principles. This role requires expertise in Apache Kafka, Databricks, and performance optimization with a focus on data governance and schema enforcement.

Skills required

Apache KafkaDatabricksSpark Structured StreamingSQLPython/PySpark

Key responsibilities

Design and develop scalable batch and streaming data pipelines using Apache Spark and Kafka

Implement Spark Structured Streaming solutions for real-time data processing

Manage Kafka ingestion and optimize data flow across systems

Apply Medallion Architecture patterns for data organization and governance

Perform performance optimization and enforce data quality standards through schema management

About Archigos Solutions

Archigos Solutions is a forward-thinking technology company specializing in data engineering and analytics solutions. The company fosters a collaborative environment where engineers can work on cutting-edge data infrastructure projects. They are committed to building scalable systems that drive business intelligence and real-time insights.

Why you should apply

Work with cutting-edge technologies including Databricks, Apache Kafka, and Spark Structured Streaming

Opportunity to design and optimize scalable data pipelines for real-time processing at enterprise scale

Immediate to 15 days notice period allows for quick onboarding and immediate impact

Interview preparation tips

1

Prepare detailed examples of streaming pipelines you have built using Spark Structured Streaming or similar technologies

2

Be ready to discuss your experience with Kafka architecture, partitioning strategies, and consumer group management

3

Demonstrate knowledge of Medallion Architecture and how you would implement bronze, silver, and gold layers

4

Discuss performance optimization techniques you have applied to reduce latency and improve throughput in data systems

Career growth path

This role offers excellent career progression opportunities in the data engineering field. You will gain hands-on experience with enterprise-scale data platforms and modern streaming technologies, positioning you for senior data engineer or data architect roles. Working with Databricks and advanced Spark implementations will enhance your expertise in cloud-native data solutions.

Ready to apply?

Keep your updated resume, transcripts, and cover letter ready before you start the application.

Apply via Email: tejasveer@archigossolutions.com

Check the official careers page for deadline and instructions

Frequently asked questions

Q: What experience level is required for this data engineer position?
A: Candidates with 2-5 years of experience in data engineering or related fields are preferred. You should have demonstrated expertise with Apache Kafka, Databricks, Spark Structured Streaming, and SQL.
Q: What are the main responsibilities of this data engineer role?
A: You will design and optimize scalable data pipelines, develop batch and streaming solutions using Spark, manage Kafka ingestion, implement Medallion Architecture patterns, and ensure data governance and schema enforcement.
Q: Is this role onsite or remote?
A: This is an onsite position located in Bengaluru, India. Candidates must be available to work from the office location.
Q: What is the application process and notice period requirement?
A: Interested candidates should email their resume to tejasveer@archigossolutions.com. The ideal notice period is immediate to 15 days, allowing for quick onboarding.
Q: Is Python or PySpark experience mandatory for this role?
A: Python and PySpark are listed as preferred skills but not strictly mandatory. However, having proficiency in these languages will significantly strengthen your candidacy and help you excel in the role.

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Disclaimer: Job details are sourced from public postings. Please verify all information on the official company website before applying.

Ganesh Thik

Ganesh Thik is a Software Engineer with 10 years of IT experience, dedicated to helping job seekers. He shares referral job openings, tech news, and career tips. Stay updated with the latest opportunities and industry insights!

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