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Talent Formula
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Senior Data Engineer

Senior Data Engineer

Talent Formula

5 years

3 - 8 Lacs

hyderābād

Posted:6 hours ago| Platform: GlassDoor logo

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Skills Required

data consulting accounting sourcing vision deployment design engineering learning support architecture integration analytics troubleshooting pipeline checks monitoring governance planning scrum integrity mathematics statistics development python sql etl azure ml analysis postman api tableau looker power

Work Mode

On-site

Job Type

Part Time

Job Description

Talent Formula is a consulting firm that offers outsourced financial and accounting talent to Chartered Accounting firms worldwide. We are currently sourcing for Data Engineer. We are looking for a candidate who is enthusiastic, can fit in the team with the following requirements.

The Senior Data Engineer is a new and unique role critical to helping us realize our vision for new and valuable data products and services. As a Senior Data Engineer, you will play a critical role in designing, developing, and maintaining robust data pipelines and platforms that enable the creation and deployment of data products. Your eye for intuitive and simple design, combined with mature data engineering and machine learning skills, and a strong work ethic, will position you well to experience a rewarding career with Talent Formula.

The opportunities for you to learn and grow in this role are limitless. We need you to help us identify, and make intuitive, new data insights that will help raise the bar, optimize, and grow the business.

Note: This is a office based role

What you do if you join us:

Design and Development:

Architect, build, and optimize scalable data pipelines and workflows to support data architecture in the hospitality industry.
Develop data models and schemas that facilitate seamless integration with downstream analytics and applications.
Automating build and deployment pipelines for end-to-end customer lifecycle
Proactively seek to link analytical outputs to commercial outcomes
Optimize components to run efficiently in the cloud
Assist in troubleshooting and resolving data pipeline issues and infrastructure-related problems in a timely manner
Implement data quality checks, monitoring, and governance frameworks
Contribute to the product roadmap, sprint planning, stand-ups, and ensuring the scrum board is up to date
Document data engineering processes, workflows, and best practices to facilitate knowledge sharing and ensure reproducibility

Personal attributes

You are organised, efficient, and a fast learner
You demonstrate a scientific and design-led approach to delivering effective data solutions
Integrity, honesty, trust, and respect.
You are self-motivated and can work as an individual and in a team
You love innovation and are always looking for ways to improve
You are an excellent communicator, patient, and able to explain your point ideas verbally, and in writing

We would love to hear from you if you…

have 5+ years of experience in data engineering / analytics
have a Bachelor’s or Master’s degree in data science, mathematics, statistics, or computer science
understand good data design principles
are proficient in the development and operation data pipelines
production python experience
can work with others to hypothesize and identify trends in data to achieve results for customers.
are experienced with SQL, Python, Jupyter Notebooks, and ETL tools (dbt, stored procs)
familiar with cloud hosting services (mainly, Google, Azure), and their data services
familiar with ML techniques (mainly, regarding text analysis and classification)

It would be fantastic but not essential if you have experience working with any of the following technologies:

Google Cloud Platform (BigQuery, Cloud Run, Pub/Sub)
Azure (MS SQL Server)
Postman (API development)
Python Django
DBT, Stored procedures
ML (text analysis, classification)
Tableau/Looker Studio/Power BI

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Senior Data Engineer