Data Engineer

Data Engineer

Job Description

About the role:

We’re looking for a skilled Data Engineer with deep Snowflake expertise to help modernize and

scale our data platform. If you thrive in a fast-moving environment, can wrangle messy pipelines,

and want to build the backbone of a cloud-first data strategy, this role is for you. You’ll work across

legacy and modern systems to deliver reliable, high-quality data to customers.

Responsibilities

• Design, build, and maintain scalable and efficient data pipelines to support analytics,

reporting, and operational use cases

• Collaborate closely with product owners, analysts, and data consumers to translate business

requirements into reliable data solutions

• Develop and maintain data integration workflows across both cloud-native and on-premises

systems

• Champion best practices in data architecture, modelling, and quality assurance to ensure

accuracy and performance

• Participate in sprint planning, daily stand-ups, and retrospectives as an active member of a

cross-functional agile team

• Identify and remediate technical debt across legacy pipelines and contribute to the

modernization of the data platform

• Implement robust monitoring and alerting for pipeline health, data quality, and SLA

adherence

• Write and maintain documentation for data flows, transformations, and system

dependencies

• Contribute to code reviews and peer development to foster a collaborative and high-quality

engineering culture

• Ensure adherence to security, privacy, and compliance standards in all data engineering

practices

Skills & Qualifications

• 5+ years of professional experience in data engineering, analytics engineering, or related

fields

• Bachelor’s degree in computer science, or equivalent field and 2+ years of experience

• Advanced SQL skills, including performance tuning and query optimization

• Expertise in Snowflake, including data warehousing concepts, architecture, and best

practices

• Experience with modern data transformation tools (e.g., dbt)

• Experience building and maintaining automated ETL/ELT pipelines, with a focus on

performance, scalability, and reliability

• Proficiency with version control systems (e.g., Git), working within CI/CD pipelines and

experience with environments that depend on infrastructure-as-code

• Experience writing unit and integration tests for data pipelines

• Familiarity with data modeling techniques (e.g., dimensional modeling, star/snowflake

schemas)

• Experience with legacy, on-premise databases such as Microsoft SQL Server is preferred

• Exposure to cloud platforms (e.g., AWS, Azure, GCP), cloud-native data tools, and data

federation tools is a plus

• • Experience with Sql Server Reporting Services (SSRS) is beneficial

• It is a Full Time IT / Hardware / Network Engineer job for candidates with 5 - 6 years of experience.

More about this Data Engineer job

1. What is the eligibility criteria to apply for this Data Engineer job?
   Ans: The candidate should be Diploma and above and above with 5 - 6 years of experience of experience
2. How much salary can I expect for this job role?
   Ans: You can expect a salary of ₹99500 - ₹99500 per month that depends on your interview. It's a Full Time job in Pune.
3. How many working days are there for this Data Engineer job?
   Ans: This Data Engineer job will have 6 working days.
4. Are there any charges applicable while applying or joining this Data Engineer job?
   Ans: No, there is no fee applicable for applying this Data Engineer job and during the employment with the company, i.e., VAIDHYA ORGANISATION PRIVATE LIMITED.
5. Is it a work from home job?
   Ans: Yes, it’s a work from home job and can be done online.
6. How many openings are there for this Data Engineer role?
   Ans: There is an immediate opening of 3 Data Engineer at VAIDHYA ORGANISATION PRIVATE LIMITED
7. Who can apply for this job?
   Ans: Both Male and Female candidates can apply for this IT / Hardware / Network Engineer job.
8. What are the timings of this Data Engineer job?
   Ans: This Data Engineer job has 09:00 सुबह - 06:00 शाम timing.