Data Engineer

2 months ago


Pune, India Rohini IT Consulting LLP Full time

Skills & Experience:

At least 5+ years of experience as a Data Engineer

Hands-on and in-depth experience with Star / Snowflake schema design, data modeling,

data pipelining and MLOps.

Experience in Data Warehouse technologies (e.g. Snowflake, AWS Redshift, etc)

Experience in AWS data pipelines (Lambda, AWS glue, Step functions, etc)

Proficient in SQL

At least one major programming language (Python / Java)

Experience with Data Analysis Tools such as Looker or Tableau

Experience with Pandas, Numpy, Scikit-learn, and Jupyter notebooks preferred

Familiarity with Git, GitHub, and JIRA.

Ability to locate & resolve data quality issues

Ability to demonstrate end to ed data platform support experience

Other Skills:

Individual contributor

Hands-on with the programming

Strong analytical and problem solving skills with meticulous attention to detail

A positive mindset and can-do attitude

To be a great team player

To have an eye for detail

Looking for opportunities to simplify, automate tasks, and build reusable components.

Ability to judge suitability of new technologies for solving business problems

Build strong relationships with analysts, business, and engineering stakeholders

Task Prioritization

Familiar with agile methodologies.

Fintech or Financial services industry experience

Eagerness to learn, about the Private Equity/Venture Capital ecosystem and associated

secondary market

Responsibilities:

o Design, develop and maintain a data platform that is accurate, secure, available, and fast.

o Engineer efficient, adaptable, and scalable data pipelines to process data.

o Integrate and maintain a variety of data sources: different databases, APIs, SAASs, files, logs,

events, etc.

o Create standardized datasets to service a wide variety of use cases.

o Develop subject-matter expertise in tables, systems, and processes.

o Partner with product and engineering to ensure product changes integrate well with the

data platform.

o Partner with diverse stakeholder teams, understand their challenges and empower them

with data solutions to meet their goals.

o Perform data quality on data sources and automate and maintain a quality control

capability.


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