Data Architect Specialist

1 week ago


Anywhere in IndiaMultiple Locations Info Services Full time

Company Overview

Info Services is a leading provider of data solutions, dedicated to delivering high-quality services that meet the evolving needs of our clients.

 

Job Summary

We are seeking an experienced Data Engineer to join our team. As a key member of our data infrastructure group, you will be responsible for designing and implementing efficient data pipelines using big data frameworks (e.g., Spark) for ingesting, transforming, and processing large datasets.

 

Key Responsibilities

  • Data Ingestion & Processing: Design and implement efficient data pipelines using big data frameworks (e.g., Spark) for ingesting, transforming, and processing large datasets.
  • Programming Expertise: Utilize strong coding skills in Scala (preferred), Python, or Java to develop high-performance and scalable data processing solutions.
  • SQL Proficiency: Demonstrate expertise in SQL for querying and manipulating data from relational and non-relational databases.
  • Big Data Experience: Proven experience working with very large datasets efficiently, preferably within the DTC (Direct-to-Consumer) domain or similar large-scale data environments.
  • Cloud Savvy: Experience with cloud platforms (AWS, GCP, Azure) for deploying and managing big data infrastructure is a valuable asset.
  • Data Quality Champion: Ensure data quality and consistency throughout the data pipeline, implementing robust data validation and cleansing processes.

 

Requirements

  • Programming Expertise: Strong coding skills in Scala (preferred), Python, or Java, with a solid understanding of object-oriented programming principles.
  • Big Data Frameworks: Familiarity with big data frameworks (e.g., Spark) and experience with data ingestion, processing, and analytics tools.
  • SQL Proficiency: Demonstrated expertise in SQL for querying and manipulating data from relational and non-relational databases.
  • Large Data Experience: Proven experience working with and processing very large datasets efficiently.
  • Cloud Platforms: Familiarity with cloud platforms (AWS, GCP, Azure) for data infrastructure management (a plus).

 

Salary

$120,000 - $180,000 per annum, depending on experience.

 

Benefits

We offer a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and generous paid time off.


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