Senior Snowflake Data Engineer

💰 ₹18,000 - ₹28,800 (Est.) 📍 Pune 🏠 Remote / WFH

Job Description

As a Senior Data Engineer specializing in Snowflake, you will be responsible for designing, developing, and delivering data engineering solutions using modern cloud data platforms. The candidate should have strong expertise in the data lifecycle, including data ingestion, transformation, and modeling, as well as experience with distributed data processing, data security, and integration with internal and external data sources. Additionally, the candidate should be proficient in leveraging best practices in data architecture and performance optimization. The role also requires the ability to drive end-to-end project delivery aligned with business objectives and ensure the realization of data-driven value.

Responsibilities:
• Demonstrated ability to have successfully completed multiple, complex technical projects and create high-level design and architecture of the solution, including class, sequence and deployment infrastructure diagrams.
• Take ownership of technical solutions from design and architecture perspective for projects in presales phase as well as on-going projects.
• Experience with gathering end user requirements and writing technical documentation.
• Suggest innovative solutions based on new technologies and latest trends.
• Review the architectural/ technological solutions for ongoing projects and ensure right choice of solution.
• Work closely with client teams to understand their business, capture requirements, identify pain areas, accordingly, propose an ideal solution and win business.

Requirements
• Min 7+ years of experience working with Snowflake in a data engineering or architecture role.
• Familiarity with programming languages such as Python, Java, or Scala for data processing and automation.
• Strong expertise in SQL, data modeling and advanced query optimization techniques.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their integration with Snowflake.
• Proficiency in ETL/ELT tools such as ADF, Fabric, etc.
• Experience with data visualization tools like Tableau, Power BI, or Looker.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work in a fast-paced, dynamic environment.

Benefits

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global canters.

Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Disclaimer:

Accellor is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, *** (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, ****** orientation, or other applicable legally protected characteristic.

💡 Quick Summary

Seeking a career-building opportunity? The Senior Snowflake Data Engineer position is now open for candidates interested in the Remote Jobs sector. This role in Pune offers a professional environment and growth potential.

Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Remote Jobs is a plus.

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Job Details

Company Name: Accellor

Frequently Asked Questions

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The expected salary for Senior Snowflake Data Engineer in Pune is ₹18,000 - ₹28,800 (Est.) per month. Actual compensation may vary based on experience and negotiation.
Yes, Senior Snowflake Data Engineer is a remote / work from home position. You can apply from anywhere in India.
Basic communication skills, a proactive attitude, and the ability to work in a team are required for Senior Snowflake Data Engineer. Previous experience in Remote Jobs is a plus. Freshers may also apply depending on the employer's requirements.
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