Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Arista Networks

Arista Networks

1001 - 5000 employees

Founded 2004

🏢 Enterprise

📡 Telecommunications

💰 $2.6M Post-IPO Debt on 2015-05

Enterprise • Telecommunications • Cloud

Arista Networks is a leader in building scalable high-performance and ultra-low-latency networks for modern data center and cloud computing environments. The company offers a wide range of networking solutions including the Arista Extensible Operating System (EOS) for cloud networking, CloudVision for network automation and observability, and a variety of high-performance switches and routing platforms. Arista's solutions are designed for enterprise WANs, cloud-grade routing, multi-domain segmentation, security, and modern network operating models, making them a pivotal choice for hyperscale data centers and cloud environments.

📋 Description

• Design, develop, test, and maintain data pipelines and ETL/ELT processes using Python, SQL, and Microsoft Fabric • Design and develop solutions using Fabric Lakehouse and Warehouse • Develop and optimize complex SQL queries, stored procedures, databases, and data models • Build data integrations and APIs across multiple enterprise data sources • Develop and support Power BI reports, semantic models, and dashboards • Troubleshoot and optimize data pipelines, database performance, and data quality • Work with Manufacturing and technical teams to define requirements and deliver scalable, secure, reliable, and high-performing data solutions • Support data solutions for the Manufacturing BI team

🎯 Requirements

• 5+ years of experience with SQL, data engineering, ETL/ELT, and data warehouse solutions • Strong SQL Server, T-SQL, data modeling, and performance-tuning skills • Programming experience with Python, Java, C#, Rust, or similar languages • Experience with APIs, JSON, flat files, Excel, and relational databases • Experience with Power BI or similar BI tools • Bachelor's degree in Computer Science, MIS, or a related field • Manufacturing data and Microsoft Fabric experience is a plus • Familiarity with cloud platforms and AI developer tools such as Codex CLI, Claude Code, or Gemini CLI is a plus

🏖️ Benefits

• Remote work availability • Work-life balance • Diversity, compensation, and work-life balance recognition • Complete ownership of projects • Flat and streamlined management structure • Opportunities to work across various company domains • Access to every part of the company • Test automation tools and engineering resources • Opportunity to work with a diverse, global team

Apply Now

Similar Jobs

🕒 Yesterday

DysrupIT

51 - 200

🏢 Enterprise

☁️ SaaS

🔒 Cybersecurity

Senior Data Engineer building auditable GCP data pipelines for DysrupIT’s financial billing and invoicing platform. Ensuring accurate reconciliation, lineage, and trusted financial data.

🕒 Yesterday

Quantiphi

1001 - 5000

💼 Consulting

🏥 Healthcare

📦 Logistics

Senior Data Engineer building Python, Spark, and Databricks pipelines for Quantiphi’s data and AI solutions. Leading cloud migration, CI/CD automation, and scalable analytics engineering.

🕒 2 days ago

FormativGroup

51 - 200

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Data engineering consultant building Databricks, Snowflake, AWS, and Azure solutions for FormativGroup’s technology integration clients. Supporting pipelines, ETL/ELT, data platforms, governance, and analytics delivery.

🕒 October 14

MoneyGram

1001 - 5000

💳 Fintech

₿ Crypto

👥 B2C

Senior Data Engineer building scalable ETL/ELT pipelines on GCP and AWS. Optimizing data platforms for reporting, insights, and advanced analytics.

🕒 October 12

Astreya

1001 - 5000

💼 Consulting

📦 Logistics

📣 Marketing

Data Engineer III building scalable pipelines, ETL infrastructure, and analytics tools. Supporting cross-functional teams with data architecture and performance insights from India.