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Senior Data Engineer - GCP

HoonarTek
Pune, Maharashtra

Apply Now

Job details

Full-time

Qualifications

Data modeling
Business intelligence
D3.js
Google Cloud Platform
Research
Ab Initio
SQL
Scala
APIs
Agile
Apache
AI
Communication skills
Python

Full job description

Pune

About Us

We empower enterprises globally through intelligent, creative, and insightful services for data integration, data analytics and data visualization.

Hoonartek is a leader in enterprise transformation, data engineering and an acknowledged world-class Ab Initio delivery partner.

Using centuries of cumulative experience, research and leadership, we help our clients eliminate the complexities & risk of legacy modernization and safely deliver big data hubs, operational data integration, business intelligence, risk & compliance solutions and traditional data warehouses & marts.

At Hoonartek, we work to ensure that our customers, partners and employees all benefit from our unstinting commitment to delivery, quality and value. Hoonartek is increasingly the choice for customers seeking a trusted partner of vision, value and integrity

How We Work?

Define, Design and Deliver (D3) is our in-house delivery philosophy. It’s culled from agile and rapid methodologies and focused on ‘just enough design’. We embrace this philosophy in everything we do, leading to numerous client success stories and indeed to our own success.

We embrace change, empowering and trusting our people and building long and valuable relationships with our employees, our customers and our partners. We work flexibly, even adopting traditional/waterfall methods where circumstances demand it. At Hoonartek, the focus is always on delivery and value.

Job Description

Senior Data Engineer (GCP + BigQuery Expert)

Role Title: Senior Data Engineer

Experience: 6–10+ years

Location: [Your Location / Hybrid / Remote]

Department: Data Engineering

Role Overview

We are seeking an experienced Senior Data Engineer with deep expertise in GCP and BigQuery to design and deliver enterprise-scale data platforms. The role involves architecting data pipelines, optimizing large-scale data processing, and enabling advanced analytics and AI use cases.

The ideal candidate will bring strong experience in cloud-native data engineering, data modeling, and performance optimization.

Key Responsibilities

Design and implement scalable data architectures on Google Cloud Platform
Build and optimize high-performance data pipelines using BigQuery
Develop robust ETL/ELT frameworks and reusable components
Optimize BigQuery performance (partitioning, clustering, cost optimization)
Lead data modeling (dimensional modeling, star/snowflake schemas)
Ensure data governance, security, and compliance
Integrate data from multiple sources (APIs, streaming, batch systems)
Mentor junior engineers and guide best practices
Work closely with stakeholders across analytics, BI, and AI teams

Required Skills

Strong hands-on experience with Google Cloud Platform (GCP ecosystem)
Deep expertise in BigQuery (query optimization, architecture design)
Advanced SQL and data modeling skills
Strong experience in Python/Scala for data engineering
Experience with orchestration tools like Apache Airflow
Hands-on experience with GCP services like:Dataflow
Pub/Sub
Cloud Storage
Dataproc

Good to Have

Experience with streaming pipelines (real-time data processing)
Knowledge of data governance frameworks
Exposure to ML pipelines or AI platforms
Experience in BFSI domain (preferred)
Familiarity with tools like dbt

Leadership Expectations

Drive architectural decisions
Define data engineering standards and best practices
Mentor and upskill team members
Ensure scalability, reliability, and cost efficiency of solutions

What We Expect

Strong ownership mindset
Ability to handle complex data challenges
Excellent communication with business and technical teams
Experience in enterprise-scale delivery

Apply Now

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