senior specialist, data science

Randstad Staffing; Hyderabad; On-site; INR 1,400,000 - 2,000,000; Full time

Job summary

Randstad Staffing in Hyderabad, India is seeking a Data & Analytics Engineer to join a team supporting UK functions. You will implement Python-based data engineering solutions, design ETL/ELT pipelines, and collaborate with stakeholders to deliver clean datasets for reporting and analytics.

Key responsibilities include building robust Python code, writing optimized SQL, and applying data warehousing concepts.

Qualifications

• Strong Python proficiency with data manipulation libraries.
• Solid SQL skills and ability to optimise queries.
• Experience with data warehousing concepts, ETL/ELT processes.
• Familiarity with cloud platforms, preferably GCP.

Responsibilities

• Python Development: Write robust, efficient, and scalable Python code to extract, transform, and load data from various sources.
• Data Modeling & SQL: Design, write, and optimise complex SQL queries to support analytics and business intelligence efforts.
• Data Engineering & Analytics: Build and maintain reliable ETL/ELT pipelines; deliver clean, reliable datasets for reporting and analytics.
• Cloud Infrastructure: Deploy, manage, and monitor data workloads using Google Cloud Platform (GCP) services.
• AI & Problem Solving: Explore AI/ML tools or predictive analytics to surface deeper insights.

Skills

Python

SQL

Data modeling

Analytical thinking

Cloud basics

Tools

GCP

BigQuery

Dataflow

Cloud Storage

Job description

Every year, we help hundreds of thousands of people find rewarding jobs in the ever-changing world of work.

We understand the importance of a job in peoples lifes and we want to help them find work that feels good. And we’ll help them continue to grow as their needs and ambitions change.

At Randstad, our value comes from our people and that is why we put them first. We are proud of our learning culture and career architecture framework that encourages ours team to develop both personally and professionally.

We believe that talent grows when presented with opportunity and this is why we encourage our people to think beyond their role. We have created a culture that enables talent to flourish, encouraging entrepreneurship, fostering team spirit, and continually building mutual trust.

Data & Analytics Engineer

Do you want to join the world's largest recruitment Company?

Randstad is a multinational human resources consulting firm specialising in temporary and permanent recruitment, including contract staffing of professionals and senior managers.

We are seeking a highly skilled and motivated Data & Analytics Engineer to join our growing team based in Hyderabad, but supporting our UK functions. This role will be crucial in implementing python & data engineering solutions along with supporting the team in debugging and solving data oriented problems.

Your responsibilities will include, but are not limited to:

Python Development: Write robust, efficient, and scalable Python code to extract, transform, and load data from various sources.

Data Modeling & SQL: Design, write, and optimise complex SQL queries to support analytics and business intelligence efforts.

Data Engineering & Analytics: Build and maintain reliable ETL/ELT pipelines. Partner with stakeholders to understand their data needs and deliver clean, reliable datasets for reporting and analytics.

Cloud Infrastructure: Deploy, manage, and monitor data workloads using Google Cloud Platform (GCP) services (e.g., BigQuery, Cloud Storage, Dataflow, or Cloud Functions).

AI & Problem Solving: Act as a creative problem-solver. Keep an eye out for ways to integrate AI/ML tools or predictive analytics to automate tasks and surface deeper insights.

To be successful in this role you will have:

Problem Solver: A relentless curiosity and a "figure it out" mentality. You enjoy tackling ambiguous problems and exploring how modern tech (including AI) can solve them.

Strong Python proficiency: You should be comfortable with data manipulation libraries (e.g., Pandas, NumPy) and have the ability to debug errors independently.

Solid SQL skills: Ability to write joins, and optimise query performance or make enhancements in the current SQL code to support team members in troubleshooting.

Data Engineering Fundamentals: A good understanding of data warehousing concepts, ETL/ELT processes, and pipeline orchestration.

Analytical Mindset: You don't just move data; you understand what the data means and how it impacts the business.

Cloud Experience: Basic familiarity with cloud platforms, preferably GCP.

Exceptional communication skills and collaboration skills.

skills

• Unsupervised Learning
• Supervised Learning
• SQL Databases
• Consulting
• Artificial Intelligence Markup Language (AIML)