Job Description

Location: ARK Tech Park, HSR Layout, Bangalore (Hybrid – 3 Days WFO)

n

Company: ProAnalyst – Data & AI Services

n

Experience: 6 - 8 Years

n

Range: Upto 12LPA

n

Type: Full-time

n

Reporting To: Founder & Lead Consultant

n

About ProAnalyst

n

ProAnalyst is a data analytics & BI consulting firm. We deliver dashboards, data pipelines, and analytics teams for clients across the US, Australia, and India, with a growing AI service line. We're expanding our Data Engineering capabilities, and this role offers the opportunity to work on high-impact data and analytics projects for global clients.

n

Role Overview

n

We are looking for an experienced Data Engineer with 6–8 years of hands-on experience in designing, developing, and maintaining scalable data pipelines and data processing solutions.

n

The ideal candidate should have solid expertise in SQL and Python, practical experience working with cloud-based data platforms, and a solid understanding of data engineering, ETL/ELT, data transformation, data quality, and pipeline optimization.

n

Experience with Google Cloud Platform (GCP) is strongly preferred, particularly candidates who have worked with cloud-based data warehousing and data processing environments.

n

The candidate should be technically strong, detail-oriented, capable of independently troubleshooting data issues, and confident in communicating with technical and business stakeholders.

n

Key Responsibilities

n

n
- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
n
- Write, optimize, and troubleshoot complex SQL queries across large datasets.
n
- Develop Python-based solutions for data processing, automation, and transformation.
n
- Work with cloud-based data platforms and data warehouses.
n
- Build and maintain reliable data ingestion and transformation workflows.
n
- Perform data validation, quality checks, reconciliation, and troubleshooting.
n
- Identify and resolve pipeline, data quality,



and performance issues.
n
- Optimize data processing workflows for scalability and efficiency.
n
- Collaborate with data analysts, BI developers, engineers, and business stakeholders.
n
- Translate business and technical requirements into reliable data engineering solutions.
n
- Document data pipelines, processes, and technical solutions.
n

n

Ideal Candidate

n

n
- 6–8 years of experience in Data Engineering or related roles.
n
- Strong hands-on expertise in SQL and Python.
n
- Strong understanding of ETL/ELT, data pipelines, data transformation, and data integration.
n
- Hands-on experience with cloud data platforms; GCP is preferred.
n
- Experience working with large datasets and cloud data warehouses.
n
- Strong understanding of data quality, validation, and performance optimization.
n
- Strong problem-solving and analytical skills.
n
- Good communication and stakeholder-management skills.
n
- Ability to work independently and take ownership of technical deliverables.
n
- Databricks and Airflow experience is a plus.
n

n

Knowledge Requirement

n

Data Engineering & ETL/ELT – 40%

n

SQL & Python – 30%

n

Cloud & Data Platforms – 20%

n

Problem Solving & Communication – 10%

n

Interview Process

n

n
- Round 1: AI Video InterviewCommunication, technical knowledge, leadership mindset, and problem-solving.
n
- Round 2: Technical Interview – BI, SQL & Data EngineeringSQL, Power BI, data modeling, data engineering, visualization, and technical problem-solving.
n
- Round 3: Founder's Round Leadership, ownership, client handling, team management, problem-solving approach, and overall suitability
n

n

Why Join Us?

n

n
- Work on real-world Data, AI, and Analytics projects.
n
- Exposure to modern cloud and data engineering technologies.
n
- Opportunity to work with global clients and diverse data problems.
n
- High ownership and direct exposure to experienced technical leadership.
n
- Opportunity to grow within a fast-growing Data & AI consulting firm.
n

📌 Senior Data Engineer (Bengaluru)
🏢 ProAnalyst
📍 Bengaluru