Pay: Salary not listed in the saved posting
Work setup: On-site stated — work setup source
Experience: 7+ Years Location: Chennai (On-site) Employment Type: Full-time
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Employment: Full-time — employment source
Location: Chennai (On-site) Employment Type: Full-time Role Overview
Read the full posting

What you’ll work on

We are looking for an experienced Data Engineer to build, optimize, and manage scalable data pipelines and architectures.

Design, build, and maintain scalable data pipelines and ETL/ELT processes
Develop and optimize data models and data warehouse solutions
Work extensively with Snowflake for data storage, transformation, and performance tuning

From the employer’s posting

We are looking for an experienced Data Engineer to build, optimize, and manage scalable data pipelines and architectures. The ideal candidate will have strong expertise in modern data platforms, with hands-on experience in Snowflake and cloud-based data solutions.

Key Responsibilities Design, build, and maintain scalable data pipelines and ETL/ELT processes Develop and optimize data models and data warehouse solutions

Design, build, and maintain scalable data pipelines and ETL/ELT processes Develop and optimize data models and data warehouse solutions Work extensively with Snowflake for data storage, transformation, and performance tuning

Develop and optimize data models and data warehouse solutions Work extensively with Snowflake for data storage, transformation, and performance tuning Collaborate with BI, analytics, and product teams to deliver clean and reliable datasets

What you’ll bring

All qualifications

Core experience

7+ years of experience in Data Engineering or related roles
Hands-on experience with ETL/ELT tools (e.g., Airflow, Informatica, dbt, or similar)
Strong expertise in Snowflake (data modeling, performance tuning, optimization)
Experience with cloud platforms such as AWS / Azure / GCP
Strong understanding of data warehousing concepts (star schema, snowflake schema, etc.)
Experience with Python or Scala for data processing

Preferred experience

Experience with big data technologies (Spark, Hadoop)
Ability to work with cross-functional teams
Familiarity with streaming tools (Kafka, Kinesis)
Good communication and stakeholder management

Qualification wording

7+ years of experience in Data Engineering or related roles

Hands-on experience with ETL/ELT tools (e.g., Airflow, Informatica, dbt, or similar)

Strong expertise in Snowflake (data modeling, performance tuning, optimization)

Experience with cloud platforms such as AWS / Azure / GCP

Strong understanding of data warehousing concepts (star schema, snowflake schema, etc.)

Experience with Python or Scala for data processing

Experience with big data technologies (Spark, Hadoop)

Ability to work with cross-functional teams

Familiarity with streaming tools (Kafka, Kinesis)

Good communication and stakeholder management

Tools in this posting

Python
Scala
SQL
AWS
Azure
dbt
Kafka
Snowflake
Spark
Airflow
Hadoop
Google Cloud (GCP)

Source

- Strong understanding of data warehousing concepts (star schema, snowflake schema, etc.) - Experience with Python or Scala for data processing - Knowledge of data pipeline orchestration and scheduling

- Strong expertise in Snowflake (data modeling, performance tuning, optimization) - Advanced SQL skills and experience with large-scale data processing - Hands-on experience with ETL/ELT tools (e.g., Airflow, Informatica, dbt, or similar)

- Hands-on experience with ETL/ELT tools (e.g., Airflow, Informatica, dbt, or similar) - Experience with cloud platforms such as AWS / Azure / GCP - Strong understanding of data warehousing concepts (star schema, snowflake schema, etc.)

- Advanced SQL skills and experience with large-scale data processing - Hands-on experience with ETL/ELT tools (e.g., Airflow, Informatica, dbt, or similar) - Experience with cloud platforms such as AWS / Azure / GCP

- Experience with big data technologies (Spark, Hadoop) - Familiarity with streaming tools (Kafka, Kinesis) - Experience with CI/CD pipelines and DevOps practices

Role Overview We are looking for an experienced Data Engineer to build, optimize, and manage scalable data pipelines and architectures. The ideal candidate will have strong expertise in modern data platforms, with hands-on experience in Snowflake and cloud-based data solutions. Key Responsibilities

- Develop and optimize data models and data warehouse solutions - Work extensively with Snowflake for data storage, transformation, and performance tuning - Collaborate with BI, analytics, and product teams to deliver clean and reliable datasets

- Ensure data quality, integrity, and governance across systems - Optimize query performance and cost efficiency in Snowflake - Integrate data from multiple sources (APIs, databases, third-party systems)

- 7+ years of experience in Data Engineering or related roles - Strong expertise in Snowflake (data modeling, performance tuning, optimization) - Advanced SQL skills and experience with large-scale data processing

Preferred Skills - Experience with big data technologies (Spark, Hadoop) - Familiarity with streaming tools (Kafka, Kinesis)

Posting record

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First seen by us: Jun 3, 2026 · 135d ago
Recorded sightings: 46
Last seen by us: Oct 15, 2026

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Job description

View original posting ↗

Job Title: Data Engineer

Experience: 7+ Years

Location: Chennai (On-site)

Employment Type: Full-time

Role Overview

We are looking for an experienced Data Engineer to build, optimize, and manage scalable data pipelines and architectures. The ideal candidate will have strong expertise in modern data platforms, with hands-on experience in Snowflake and cloud-based data solutions.

Key Responsibilities

Design, build, and maintain scalable data pipelines and ETL/ELT processes
Develop and optimize data models and data warehouse solutions
Work extensively with Snowflake for data storage, transformation, and performance tuning
Collaborate with BI, analytics, and product teams to deliver clean and reliable datasets
Ensure data quality, integrity, and governance across systems
Optimize query performance and cost efficiency in Snowflake
Integrate data from multiple sources (APIs, databases, third-party systems)
Implement data security and access controls

Requirements

Required Skills & Qualifications

7+ years of experience in Data Engineering or related roles
Strong expertise in Snowflake (data modeling, performance tuning, optimization)
Advanced SQL skills and experience with large-scale data processing
Hands-on experience with ETL/ELT tools (e.g., Airflow, Informatica, dbt, or similar)
Experience with cloud platforms such as AWS / Azure / GCP
Strong understanding of data warehousing concepts (star schema, snowflake schema, etc.)
Experience with Python or Scala for data processing
Knowledge of data pipeline orchestration and scheduling

Benefits

Preferred Skills

Experience with big data technologies (Spark, Hadoop)
Familiarity with streaming tools (Kafka, Kinesis)
Experience with CI/CD pipelines and DevOps practices
Exposure to data governance and data security best practices

Key Competencies

Strong problem-solving and analytical skills
Ability to work with cross-functional teams
Good communication and stakeholder management
High ownership and accountability

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Source details

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Source excerpts

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Pay: No pay amount identified in the saved description.
Location & working pattern: Chennai, India
Experience: 7+ Years Location: Chennai (On-site) Employment Type: Full-time
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

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Senior Data Engineer- Snowflake