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 ఐటి / హార్డ్‌వేర్ / నెట్‌వర్క్ ఇంజనీర్ job for candidates with 5 - 6 years of experience.

Data Engineer job గురించి మరింత

1. Data Engineer jobకు apply చేయడానికి అర్హతా ప్రమాాణాలు ఏమిటి?
   Ans: అభ్యర్థికి డిప్లొమా, అంత కంటే ఎక్కువ మరియు అంతకంటే ఎక్కువ 5 - 6 years of experience అనుభవంతో ఉండాలి
2. ఈ Job రోల్ కోసం నేను ఎంత జీతం ఆశించగలను?
   Ans: మీ ఇంటర్వ్యూపై ఆధారపడి శాలరీ ₹99500 - ₹99500 నెలకుని మీరు ఆశించవచ్చు. ఇది పూనేలో Full Time Job.
3. Data Engineer job కొరకు ఎన్ని పనిదినాలు ఉన్నాయి?
   Ans: ఈ Data Engineer jobకు 6 working days ఉంటాయి.
4. ఈ Data Engineer jobకు apply చేసేటప్పుడు లేదా చేరేటప్పుడు ఏవైనా ఛార్జీలు ఉన్నాయా?
   Ans: లేదు, ఈ Data Engineer jobకు కంపెనీలో ఉదాహరణకు, VAIDHYA ORGANISATION PRIVATE LIMITEDలో పనిచేసేటప్పుడు ఎలాంటి ఫీజులు వర్తించవు.
5. ఇది ఇంటి నుండి పని చేసే పనినా?
   Ans: అవును, ఇది ఇంటి వద్ద నుంచి Job మరియు దీనిని ఆన్‌లైన్‌లో చేయవచ్చు.
6. ఈ Data Engineer రోల్ కు ఎన్ని ఓపెనింగ్‌లు ఉన్నాయి?
   Ans: VAIDHYA ORGANISATION PRIVATE LIMITED వద్ద 3 Data Engineer ఇమ్మీడియెట్ ఓపెనింగ్ ఉంది
7. ఈ Jobకు ఎవరు apply చేసుకోవచ్చు?
   Ans: ఈ ఐటి / హార్డ్‌వేర్ / నెట్‌వర్క్ ఇంజనీర్ jobకి పురుష, మహిళా అభ్యర్థులు apply చేసుకోవచ్చు.
8. ఈ Data Engineer Job టైమింగ్స్ ఏమిటి?
   Ans: ఈ Data Engineer jobకు 09:00 सुबह - 06:00 शाम టైమింగ్ ఉంటుంది.