# Senior Data Engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-09-28

**Salary:** INR 8,000,000–20,000,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**This role is for one of Weekday’s clients  
Salary range: Rs 8000000 - Rs 20000000 (ie INR 80 - 200 LPA)**

  
Min Experience: 5+ years  
Location: Bengaluru  
JobType: full-time

We are seeking an experienced **Senior Data Engineer** with **5–15 years of experience** to design, build, and optimize scalable data systems and pipelines. The ideal candidate will have strong expertise in **data mining, pattern identification, large-scale systems, data processing, and distributed architectures**. You will work closely with engineering, analytics, product, and business teams to transform complex datasets into reliable, actionable data solutions.

## Requirements

### Key Responsibilities

-   Design, develop, and maintain scalable **data pipelines, ETL/ELT workflows, and data processing systems**.
-   Perform advanced **data mining** across large and complex datasets to identify trends, relationships, anomalies, and valuable insights.
-   Analyze datasets to identify meaningful **patterns and correlations** that can support business and product decisions.
-   Build and optimize data architectures capable of handling **large-scale data volumes and high-throughput workloads**.
-   Develop reliable batch and real-time data processing solutions using distributed computing technologies.
-   Work with structured and unstructured data from multiple sources and ensure data is accurately processed and transformed.
-   Optimize data pipelines, queries, storage, and processing frameworks for performance, scalability, and reliability.
-   Implement data quality, validation, monitoring, and error-handling mechanisms across data workflows.
-   Collaborate with Data Scientists, Analysts, Software Engineers, Product Managers, and other stakeholders to understand data requirements.
-   Design and maintain data models, schemas, and data integration frameworks.
-   Troubleshoot complex data and pipeline issues and drive improvements in system reliability and efficiency.
-   Contribute to technical architecture decisions and establish best practices for large-scale data engineering.
-   Mentor junior and mid-level engineers and contribute to improving engineering standards and processes.

### Must-Have Skills

-   **Data Mining**
-   Strong understanding of **pattern identification, trend analysis, and data exploration**
-   Experience working with **Large Scale Systems**
-   Strong knowledge of data structures, algorithms, and database concepts
-   Hands-on experience building **ETL/ELT pipelines and data processing workflows**
-   Experience with SQL and relational databases
-   Proficiency in at least one programming language such as **Python, Java, or Scala**
-   Experience with distributed data processing and large-scale data platforms
-   Strong understanding of data modeling, data warehousing, and data architecture
-   Experience optimizing data pipelines and processing workloads for performance and scalability
-   Strong analytical and problem-solving abilities

### Good-to-Have Skills

-   Experience with **Apache Spark, Kafka, Hadoop, Flink, or similar distributed technologies**
-   Exposure to cloud platforms such as **AWS, Microsoft Azure, or Google Cloud**
-   Experience with data lakes, lakehouses, and modern data warehouse technologies
-   Knowledge of real-time and streaming data architectures
-   Experience with data governance, observability, and data quality frameworks
-   Familiarity with machine learning or analytics workflows is a plus
-   Experience working with high-volume, high-velocity, or complex datasets

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/3E7747C770/apply)

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