Location: ARK Tech Park, HSR Layout, Bangalore (Hybrid – 3 Days WFO) Company: ProAnalyst – Data & AI Services Experience: 6 - 8

Years Range: Upto 12LPA Type: Full-time Reporting To: Founder & Lead Consultant

About ProAnalyst

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.

Role Overview

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.

The ideal candidate should have strong 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 .

Experience with

Google Cloud Platform (GCP)

is strongly preferred, particularly candidates who have worked with cloud-based data warehousing and data processing environments. The candidate should be technically strong, detail-oriented, capable of independently troubleshooting data issues, and confident in communicating with technical and business stakeholders.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and ETL/ELT workflows. Write, optimize, and troubleshoot complex SQL queries across large datasets.

Develop

Python-based solutions for data processing, automation, and transformation. Work with cloud-based data platforms and data warehouses. Build and maintain reliable data ingestion and transformation workflows. Perform data validation, quality checks, reconciliation, and troubleshooting. Identify and resolve pipeline,



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

Ideal Candidate

6–8 years of experience in

Data Engineering or related roles. Strong hands-on expertise in

SQL and Python . Strong understanding of

ETL/ELT, data pipelines, data transformation, and data integration . Hands-on experience with cloud data platforms;

GCP is preferred . Experience working with large datasets and cloud data warehouses. Strong understanding of data quality, validation, and performance optimization. Strong problem-solving and analytical skills. Positive communication and stakeholder-management skills. Ability to work independently and take ownership of technical deliverables. Databricks and Airflow experience is a plus.

Knowledge Requirement

Data Engineering & ETL/ELT –

40% SQL & Python –

30% Cloud & Data Platforms –

20% Problem Solving & Communication –

10%

Interview Process

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

Why Join Us?

Work on real-world

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

Data & AI consulting firm .

📌 Senior Data Engineer (Bengaluru)
🏢 ProAnalyst
📍 Bengaluru