Job Requisition ID #

25WD85338

Position Overview

We are looking for an experienced Senior Data Engineer who will play an important role in the technical development of important sales tools and business workflow applying data for decision-making. You will improve sales team productivity through creating future state best practices for business analytics. You will also define, design, and implement AWS/BI technologies and services to allow the analysis of data to support strategic programs and ongoing business requirements. You will create analytical reports and develop BI layer with resulting conclusions. You will work in a hybrid work environment based in Bangalore, India, and report directly to the Data Engineering Manager.

Responsibilities

You will develop and implement data mining solutions to fit business problems

You will involve hands-on involvement in the design, development and implementation of optimal, scalable AWS services/BI solutions

Understand, implement and automate ETL pipelines with better industry-standard

Identify, design and implement internal process improvements: automating manual processes, optimising data delivery infrastructure for greater scalability, etc

You will develop, intergrate, test, and maintain all applications

Good working knowledge of Python, DBT.

Experience with how to design robust data workflows including optimization and user experience

Extract complex data from multiple sources into usable and meaningful reports and analysis

Perform ad hoc statistical and data mining analysis

Demonstrate experience in data modelling, scripting, and reporting user interface design

Creativity to go beyond current tools to deliver best solution to the problem

You will work with cross functional team to understand the data extracted from different applications

Apply statistical analysis techniques as required

Minimum Qualifications

Bachelor or Master in Comp. Science, Engineering, Physics, Math, Statistics etc

6 to 8 years with relevant data engineer experience is required

Advanced working SQL and No-SQL experience working with relational Databases (SQL/ORACLE/MySQL etc.,)

Strong in Big data concepts

You have experience in Spark and python, Snowflake, DBT, Airflow, SQLDBM, Atlan and Data band.

Experience with AWS services (EC2, RDS, S3, Data pipeline/Glue, Lambda, Dynamo DB etc.)

Excellent data and statistical analysis skills

Strong verbal and written communication skills

Preferred Qualifications

Experience with modern data architectures and cloud data warehousing solutions

Knowledge of data security best practices and governance frameworks

Hands-on experience with data visualization tools such as Tableau, Power BI, or Looker

Familiarity with DevOps and CI/CD pipelines for data engineering solutions

Experience with machine learning workflows and AI-driven analytics

Exposure to containerization technologies like Docker and Kubernetes

Knowledge of Agile methodologies and working in Scrum teams

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About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.

Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

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