Data Engineer & Analyst

Job Description

Company: Siemens

About the job

Hello Visionary!

We empower our people to stay resilient and relevant in a constantly evolving world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future.

Does that sound like you? Then it seems like you’d make a great addition to our vibrant team.

We are looking for Data Engineer (ETL, Python).

Before our software developers write even a single line of code, they have to understand what drives our customers. What is the environment? What is the user story based on? Implementation means – trying, testing, and improving outcomes until a final solution emerges. Knowledge means exchange – discussions with colleagues from all over the world.

Join our Digitalization Technology and Services (DTS) team based in Bangalore.

You’ll make a difference by:

Having elaborate Data Model definition in business Solutions. Design and develop Data model modules derived from various domain specific data sources.
Having expertise in designing and evaluating data models.
Enforce best design practices for the application
Providing internal training for the team
Being creative in building multiple digital solutions.

Click Here: https://lnkd.in/exHqbpe

Job Requirements/ Skills:

Expert in Python coding with high level architecture designs and concepts with 4-7 years of experience.
Perform data analysis to generate business insights
Manage data warehouse plans for a business vertical or a group of business verticals
Manage the delivery of high impact dashboards and data visualizations
Create automated ETL pipelines for a wide variety of data sources
Good experience in ETL (Extract, Transform, Load) operations using Python and loading to graph DB.
Work with data science and analytics teams to define and implement project specific data management approaches
Ability to quickly understand which data is used by which business processes and what the data means in the context of these specific processes
Experience leveraging Elasticsearch for ingest and query design, or related solution such as Kibana, etc
Experience leveraging messaging and queuing solutions such as Kafka, RabbitMQ, Tibco
Development experience with at least one NoSQL database (MongoDB, Cassandra, etc.)
Experience supplying data to business intelligence tools such as Tableau, Cognos, Qlik
Manage and prioritize multiple assignments
Create and maintain documentation on current environment, data locations/sources and models, ETL processes and associated code
Collaborate with other internal and external Analytics & Engineering teams to drive continuous improvements in metrics quality and processes
Act as a technical expert addressing problems related to system and application design, performance, integration, security, etc
Expert in various relational databases and NoSQL databases like MongoDB or SQL Database.
Advance Level knowledge on data integration and complex data workflows.

Technical Summary:

Data Engineering and Analytics
Python
Flask/Pandas/DJango Framework
NoSQL like GraphDB, MangoDB, Cassandra
REST APIs/ Micro services architecture
Cloud – AWS – S3, EC2, EKS (preferred)
Data Transformation (ETL), Python, SQL, Integrating Machine Learning Models, Data Pipelines, Transform Big Data Sets,

Join us and be yourself!

We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.

Protecting the environment, conserving our natural resources, fostering the health and performance of our people as well as safeguarding their working conditions are core to our social and business commitment at Siemens. They are an integral part of our Business Conduct Guidelines and our corporate strategy.

Make your mark in our exciting world at Siemens.

This role is in Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries – and the craft of things to come.

We’re Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We’re dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us craft tomorrow.

At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow ‘s reality. Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds