Senior Data Engineer

Sr Data Engineer

Experience

pSalary

mPreferred Notice Perio

sShif

TOpportunity Type

)Placement Type

t(*Note: This is a requirement for one of Uplers' Client

s)Must have skills require

ks A

ingInferenz (One of Uplers' Clients) is Looking

for:Sr Data Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from

you.Role Overview Descri

ptionJob Overview: We are seeking a Senior Data Engineer with deep expertise in Databricks to design, develop, and optimize scalable data solutions. This role will be central to advancing our data engineering capabilities, with opportunities to work on cutting-edge technologies including Generative AI, advanced analytics, and cloud-native architectures. You will collaborate with cross-functional teams, mentor junior engineers, and help shape the future of our data plat

form.Key Responsibili

• ties:Data Architecture & Development: Lead the design, development, and optimization of scalable, secure, and high-performance data solutions in Databr
• icks.ETL/ELT Pipeline Engineering: Build and maintain robust pipelines, integrating Databricks with Azure Data Factory (or AWS Glue), ensuring reliability and effici
• ency.Advanced Analytics & AI Integration: Implement machine learning models and Generative AI-powered solutions to deliver business innova
• tion.Collaboration: Partner with data scientists, analysts, and business teams to translate requirements into technical designs and delivera
• bles.Data Quality & Governance: Enforce best practices for data validation, governance, and security to ensure trust and compli
• ance.Technical Leadership: Mentor junior engineers, conduct code reviews, and foster a culture of continuous lear
• ning.Innovation & Research: Stay current with the latest trends in Databricks, Azure Data Factory, cloud platforms, and AI/ML to recommend and implement improvem

ents.Qualifica

• tions:Bachelor’s or master’s degree in computer science, Information Technology, or a related
• field.5+ years in data engineering, with at least 3 years of hands-on experience in Datab
• ricks.Proven experti
• se in:Data modelling, Data Lakehouse architectures, and ELT/ETL pro
• cessesSQL and at least one programming language (Python or
• Scala)Integration with Azure Data Factory or AW
• S GlueStrong understanding of cloud platforms (Azure preferred) and containerization (Do
• cker).Excellent analytical, problem-solving, and communication s
• kills.Demonstrated experience mentoring or leading technical

teams.Preferred

• Skills:Experience with Generative AI technologies and their applic
• ations.Familiarity with other cloud platforms, such as AWS
• or GCP.Knowledge of data governance frameworks and

tools.How to apply for this oppo

rtunity:Easy 3-Step

o

r portal2. Upload updated Resume & Complete the Screen

ing Form3. Increase your chances to get shortlisted & meet the client for the In

terview!About Our

Client:At Inferenz, our team of innovative technologists and domain experts help accelerating the business growth through digital enablement and navigating the industries with data, cloud and AI services and solutions. We dedicate our resources to increase efficiency and gain a greater competitive advantage by leveraging various next generation techn

ologies.About

Uplers:Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their

career.(Note: There are many more opportunities apart from this on the

portal.)
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting