Senior Data Engineer

TVARIT GmbH is hiring Senior Data Engineer job in Pune (Remote friendly) | Cutshort

Senior Data Engineer
Senior Data Engineer

2
\- 6 yrs
₹8L - ₹25L / yr
Remote, Pune
Skills
SQL Azure
databricks
Python
SQL
ETL
Data Structures
Amazon Web Services (AWS)
Windows Azure
Big Data
Spark
Hadoop
Apache
Google Cloud Platform (GCP)
Data services
TVARIT GmbH develops and delivers solutions in the field of artificial intelligence (AI) for the Manufacturing, automotive, and process industries. With its software products, TVARIT makes it possible for its customers to make intelligent and well-founded decisions, e.g., in forward-looking Maintenance, increasing the OEE and predictive quality. We have renowned reference customers, competent technology, a good research team from renowned Universities, and the award of a renowned AI prize (e.g., EU Horizon 2020) which makes TVARIT one of the most innovative AI companies in Germany and Europe.
We are looking for a self-motivated person with a positive "can-do" attitude and excellent oral and written communication skills in English.
We are seeking a skilled and motivated senior Data Engineer from the manufacturing Industry with over four years of experience to join our team. The Senior Data Engineer will oversee the department’s data infrastructure, including developing a data model, integrating large amounts of data from different systems, building & enhancing a data lake-house & subsequent analytics environment, and writing scripts to facilitate data analysis. The ideal candidate will have a strong foundation in ETL pipelines and Python, with additional experience in Azure and Terraform being a plus. This role requires a proactive individual who can contribute to our data infrastructure and support our analytics and data science initiatives.
Skills Required:
– Experience in the manufacturing industry (metal industry is a plus)
– 4+ years of experience as a Data Engineer
– Experience in data cleaning & structuring and data manipulation
– Architect and optimize complex data pipelines, leading the design and implementation of scalable data infrastructure, and ensuring data quality and reliability at scale
– ETL Pipelines: Proven experience in designing, building, and maintaining ETL pipelines.
– Python: Strong proficiency in Python programming for data manipulation, transformation, and automation.
– Experience in SQL and data structures
– Knowledge in big data technologies such as Spark, Flink, Hadoop, Apache, and NoSQL databases.
– Knowledge of cloud technologies (at least one) such as AWS, Azure, and Google Cloud Platform.
– Proficient in data management and data governance
– Strong analytical experience & skills that can extract actionable insights from raw data to help improve the business.
– Strong analytical and problem-solving skills.
– Excellent communication and teamwork abilities.
Nice To Have:
– Azure: Experience with Azure data services (e.g., Azure Data Factory, Azure Databricks, Azure SQL Database).
– Terraform: Knowledge of Terraform for infrastructure as code (IaC) to manage cloud.
– Bachelor’s degree in computer science, Information Technology, Engineering, or a related field from top-tier Indian Institutes of Information Technology (IIITs).
– Benefits And Perks
– A culture that fosters innovation, creativity, continuous learning, and resilience
– Progressive leave policy promoting work-life balance
– Mentorship opportunities with highly qualified internal resources and industry-driven programs
– Multicultural peer groups and supportive workplace policies
– Annual workcation program allowing you to work from various scenic locations
– Experience the unique environment of a dynamic start-up
Why should you join TVARIT ?
Working at TVARIT, a deep-tech German IT startup, offers a unique blend of innovation, collaboration, and growth opportunities. We seek individuals eager to adapt and thrive in a rapidly evolving environment.
If this opportunity excites you and aligns with your career aspirations, we encourage you to apply today!
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Companies hiring on Cutshort

Founded
:
2019
Type
:
Products & Services
Size
:
20-100
Stage
:
Profitable
About
We are a specialized Deep Tech company based in Frankfurt, Germany, and a provider of cutting-edge TVARIT Industrial AI (TiA) Technology with a focus on the manufacturing industry, especially foundries and metalworking companies. Our sole mission is to enable a sustainable, zero-waste manufacturing using our technology by almost eliminating energy losses, waste and maximizing machine and equipment availability. Through our unique patented technologies like "Hybrid AI" & "Transfer learning," we guarantee first results (on average -30% less scrap and -20% less energy consumption) within 2-3 months and thus an ROI under 6 months. With our technology TiA, we combat the knowledge drain at foundries and metal companies. The expert knowledge is "conserved" and continuously increased making the platform smarter and more accurate through longer use. We are creating "Digitally Empowered Operators": by using TiA less experienced operators can be "empowered" to make optimal recipe adjustments in real-time, ensuring virtually defect-free and non-disruptive production. Our customers include world-renowned manufacturing companies in the metal industry such as Aditya Birla, Kamax, Schunk Group, and Maxion Wheels. In addition to proven results from more than 55 industrial projects in reducing scrap, increasing machine availability & productivity as well as reducing CO2 emissions, we have been recognized as the best AI company in Europe in the track "Best Smart Factory Startup in Europe" (out of 8 tracks with 495 participants) by the European Data Incubator (EDI) in 2020. Check out our website www.tvarit.com for more details on what we do.
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Candid answers by the company
What does the company do?
What is the location preference of jobs?
We are a specialized Deep Tech company based in Frankfurt, Germany, and a provider of cutting-edge TVARIT Industrial AI (TiA) Technology with a focus on the manufacturing industry, especially foundries and metalworking companies.
Company social profiles
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