Senior Data Engineer

D8loop; Hyderabad; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

Salesforce is seeking a data engineering professional to design and implement scalable data pipelines with end-to-end data quality. Build and optimize ETL processes, data models, and warehouse architectures to meet SLA requirements in a fast-paced environment.

The role requires hands-on experience with Snowflake/Redshift and big data tools, plus strong SQL and Python skills. You will work with Airflow and Spark to ensure robust analytics infrastructure.

Qualifications

• Expertise in dimensional modeling, data warehouse scaling/optimization, performance tuning, and ETL pipelines.
• Design, implement, and build pipelines that deliver data with measurable quality under SLA.

Responsibilities

• SQL-driven data pipelines across ETL, modeling and design.
• Maintain analytics tech ecosystem: data warehouse, ETL and BI tools.
• Collaborate to ensure data quality and governance policies.

Skills

SQL

Python

Airflow

Spark

Data governance

Cost & performance

Tools

Snowflake

Redshift

Hadoop

Hive

Job description

Salesforce · salesforce.wd12.myworkdayjobs.com · checked today

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Salesforce is the #1 AI CRM, where humans with agents drive customer success together. And innovation isn’t a buzzword — it’s a way of life.

Skills, with evidence

Expertise in dimensional modeling, data warehouse scaling/optimization, performance tuning, and ETL pipelines. must have

Design, implement, and build pipelines that deliver data with measurable quality under SLA. must have

• SQL Ability to work across multiple areas: pipeline ETL, data modeling & design, and complex SQL. must have


• Warehousing Support and maintain the analytics tech ecosystem (data warehouse, ETL, and BI tools). must have


• Python Proficiency in Python or similar programming languages.


• Airflow / orchestration Prior experience with Airflow.


• Spark Hands-on experience with data warehouse technologies (Snowflake, Redshift) and big data technologies (Hadoop, Hive, Spark).


• Governance & security Champion the overall strategy for data governance, security, privacy, quality, and retention in line with business policies. not practised here


• Cost & performance Expertise in dimensional modeling, data warehouse scaling/optimization, performance tuning, and ETL pipelines.

Support and maintain the analytics tech ecosystem (data warehouse, ETL, and BI tools). not practised here