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3 Weeks ago

Senior Data Engineer

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Mumbai, Maharashtra, India
Information Technology
Full-Time
r3 Consultant

Overview

Job Description: Senior Data Engineer

Role Overview

We are seeking an experienced Senior Data Engineer to design, develop, and optimize our

data pipeline architecture. This role involves creating scalable and efficient systems to

process and manage large datasets across the organization. As a Senior Data Engineer, you

will collaborate closely with software engineers, database architects, data analysts, and data

scientists to ensure the consistency and efficiency of our data infrastructure.

Key Responsibilities

Build and enhance data pipeline architecture for data extraction, transformation, and

loading (ETL) processes.

Automate manual processes and optimize data delivery while redesigning infrastructure

for scalability and efficiency.

Partner with cross-functional teams, including executive, product, data, and design

teams, to address data-related technical issues and infrastructure needs.

Collaborate with machine learning and analytics teams to drive innovation and improve

the functionality of the data system.

Qualifications

Bachelor's degree in Engineering, Computer Science, or a related field.

10+ years of experience in a Data Engineer role.

Proficiency in Apache Spark with a solid understanding of Big Data concepts and

distributed systems.

Strong programming skills in Scala, Python, Java, or similar languages, with the

flexibility to adapt quickly.

Advanced knowledge of SQL and experience with relational databases like Postgres or

MySQL.

Familiarity with data formats such as Delta Tables, Parquet, CSV, and JSON.

Experience with cloud platforms, specifically DataBricks.

Comfortable with Linux shell environments and Agile development practices.

Strong written and verbal communication skills in English.

Knowledge of machine learning is a plus.

Key Competencies

Ability to work independently and deliver stable, efficient, and reliable solutions.

Excellent problem-solving skills and adaptability to dynamic environments.

A proactive approach to improving existing processes and systems.

This is an exciting opportunity to redefine data architecture and contribute to the

development of cutting-edge products and initiatives. Candidates with a passion for

innovation and deep technical expertise are encouraged to apply.
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