Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Unconfirmed

What you’ll work on

We are seeking a highly skilled Senior Data Engineer to join our team and drive the development of our data platform.

You will collaborate with product teams and other engineering teams to build efficient, high-performance data solutions.
Design, develop, and optimize scalable ETL/ELT pipelines using Databricks and Apache Spark for both batch and streaming data processing.
Develop and maintain data models that support analytical and operational workloads.

From the employer’s posting

We are seeking a highly skilled Senior Data Engineer to join our team and drive the development of our data platform. This role will focus on building scalable data pipelines, optimizing data storage, and ensuring data security and governance. You will collaborate with product teams and other engineering teams to build efficient, high-performance data solutions.

About the Role We are seeking a highly skilled Senior Data Engineer to join our team and drive the development of our data platform. This role will focus on building scalable data pipelines, optimizing data storage, and ensuring data security and governance. You will collaborate with product teams and other engineering teams to build efficient, high-performance data solutions. Key Responsibilities

Key Responsibilities Design, develop, and optimize scalable ETL/ELT pipelines using Databricks and Apache Spark for both batch and streaming data processing. Develop and maintain data models that support analytical and operational workloads.

Design, develop, and optimize scalable ETL/ELT pipelines using Databricks and Apache Spark for both batch and streaming data processing. Develop and maintain data models that support analytical and operational workloads. Collaborate with product teams and other engineering teams to understand data requirements and design robust solutions.

What you’ll bring

All qualifications

Core experience

5+ years of experience in data engineering with a focus on large-scale data processing.
Expertise in Databricks, Apache Spark, and SQL.
Strong experience in batch and streaming data processing.
Strong experience in Python and PySpark for data processing and automation.
Strong experience in data modeling for both Operational and Analytical data.
Hands-on experience with data security, access control, and governance frameworks.

Qualification wording

5+ years of experience in data engineering with a focus on large-scale data processing.

Expertise in Databricks, Apache Spark, and SQL.

Strong experience in batch and streaming data processing.

Strong experience in Python and PySpark for data processing and automation.

Strong experience in data modeling for both Operational and Analytical data.

Hands-on experience with data security, access control, and governance frameworks.

Tools in this posting

Python
Databricks
MongoDB
MySQL
Oracle
Spark
PySpark
SQL
PostgreSQL

Source

- Strong experience in batch and streaming data processing. - Strong experience in Python and PySpark for data processing and automation. - Strong experience in data modeling for both Operational and Analytical data.

Key Responsibilities - Design, develop, and optimize scalable ETL/ELT pipelines using Databricks and Apache Spark for both batch and streaming data processing. - Develop and maintain data models that support analytical and operational workloads.

- 5+ years of experience in data engineering with a focus on large-scale data processing. - Expertise in Databricks, Apache Spark, and SQL. - Strong experience in batch and streaming data processing.

- Hands-on experience with data security, access control, and governance frameworks. - Experience with Apache Druid/ MSSQL/ MySQL/ MongoDB/ Oracle/ PostgreSQL. - Good to have experience with Graph Databases to manage complex relationships within data

Benefits in the posting

Full benefits wording

Comprehensive Medical Insurance – Covers the entire family, ensuring health and well-being for employees and their loved ones.
Hybrid Work Culture – Only 3 days in-office per week, offering flexibility and reducing commute stress.

From the employer’s posting.

Job description

View original posting ↗

About the Role

We are seeking a highly skilled Senior Data Engineer to join our team and drive the development of our data platform. This role will focus on building scalable data pipelines, optimizing data storage, and ensuring data security and governance. You will collaborate with product teams and other engineering teams to build efficient, high-performance data solutions.

Key Responsibilities

Design, develop, and optimize scalable ETL/ELT pipelines using Databricks and Apache Spark for both batch and streaming data processing.
Develop and maintain data models that support analytical and operational workloads.
Collaborate with product teams and other engineering teams to understand data requirements and design robust solutions.
Ensure data security, access control, and governance frameworks are implemented and adhered to.
Monitor data quality and performance, identifying areas for optimization and improvement.
Ensure code quality and implement test cases on data pipeline codes.
Follow the latest trends/updates in the data side across the industry and validates its applications on improving our data platform.

Requirements

Required Skills

5+ years of experience in data engineering with a focus on large-scale data processing.
Expertise in Databricks, Apache Spark, and SQL.
Strong experience in batch and streaming data processing.
Strong experience in Python and PySpark for data processing and automation.
Strong experience in data modeling for both Operational and Analytical data.
Strong problem-solving skills and ability to optimize performance in distributed data environments.
Hands-on experience with data security, access control, and governance frameworks.
Experience with Apache Druid/ MSSQL/ MySQL/ MongoDB/ Oracle/ PostgreSQL.
Good to have experience with Graph Databases to manage complex relationships within data
Good to have experience in working with Open-Source community.

Benefits

Comprehensive Medical Insurance – Covers the entire family, ensuring health and well-being for employees and their loved ones.
Hybrid Work Culture – Only 3 days in-office per week, offering flexibility and reducing commute stress.
Healthy Work-Life Balance – Prioritizes employee well-being, allowing time for personal and professional growth.
Friendly Working Environment – A supportive and collaborative workplace culture that fosters positivity and teamwork.
No Variable Pay Deductions – Guaranteed full compensation with no unpredictable pay cuts, ensuring financial stability.
Certification Reimbursement - Company will reimburse the money required to take certificates based on project demands

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on zero-pixels.zohorecruit.in. The employer’s form will show what is required.

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Source & posting history

View original posting ↗

Source notes

Source excerpts

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Pay: No pay amount identified in the saved description.
Location & working pattern: Kochi, India
- Comprehensive Medical Insurance – Covers the entire family, ensuring health and well-being for employees and their loved ones. - Hybrid Work Culture – Only 3 days in-office per week, offering flexibility and reducing commute stress. - Healthy Work-Life Balance – Prioritizes employee well-being, allowing time for personal and professional growth.
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at zero-pixels.zohorecruit.in ↗Read the full description ↓

Status in our records: Active
First seen by us: Jun 3, 2026
Recorded sightings: 45
Last seen by us: Oct 2, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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