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

NCompany: ProAnalyst – Data & AI Services

NExperience: 6 - 8 Years

NRange: Upto 12LPA

NType: Full-time

NReporting To: Founder & Lead Consultant

NAbout ProAnalyst

nProAnalyst 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.

NRole Overview

nWe 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.

NThe 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.

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

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

NKey Responsibilities

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



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

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- 6–8 years of experience in Data Engineering or related roles.
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- Robust hands-on expertise in SQL and Python.
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- Strong understanding ofETL/ELT, data pipelines, data transformation, and data integration.
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- Hands-on experience with cloud data platforms;

GCP is preferred.

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

NData Engineering & ETL/ELT – 40%

NSQL & Python – 30%

nCloud & Data Platforms – 20%

NProblem Solving & Communication – 10%

NInterview Process

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

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