Finance Technology Data Solutions Engineer

Job not on LinkedIn

🔥 9 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Analytics Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Eton Technologies

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

💼 Consulting

📦 Logistics

🤖 Artificial Intelligence

Consulting • Logistics • Artificial Intelligence

Eton Technologies is a B2B IT services and consulting firm that provides enterprise-focused digital transformation, managed services, offshore team solutions, and application development. As an Oracle Partner with expertise in Oracle Cloud and EBS and experience with Microsoft Azure, Dynamics 365 F&O, and Power Platform, Eton handles ERP, cloud development, BI & analytics, procurement transformation (source-to-pay), restaurant POS and hardware support, and AI/ML solutions. The company emphasizes offshore talent with onshore commitment, helpdesk and support services, and turnkey offshore team management for clients across multiple industries.

📋 Description

• Build and support Fund Accounting data solutions for a US-based Asset Management client • Develop data integrations and transformations • Build reconciliations and data controls • Develop data products supporting fund accounting, investment operations, and finance reporting • Work as an individual contributor rather than a team lead or architect • Collaborate directly with US stakeholders

🎯 Requirements

• 10+ years of hands-on data engineering experience • Strong, recent hands-on experience with Databricks, including Delta Lake, notebooks, jobs/workflows; Unity Catalog preferred • Understanding of Fund Accounting processes: NAV calculation, accruals, corporate actions, fees, and month-end close • Strong Python and PySpark skills for large-scale data processing • Proven delivery of data solutions in Financial Services • Asset Management, Investment Management, Fund Administration, Custody, or Capital Markets experience strongly preferred • Experience building reconciliations and data controls in a finance or regulated environment • Working knowledge of investment data: positions, transactions/trades, security master, pricing, cash, and general ledger • Expert SQL, including complex joins, window functions, and performance tuning • Experience with at least one cloud platform: Azure or AWS • Clear written and spoken English • Confidence working directly with US stakeholders • Databricks Certified Data Engineer or Azure/AWS data engineering certification is good to have • Experience with Azure Data Factory, Airflow, Databricks Workflows, or Fivetran is good to have • Experience with Snowflake, dbt, Power BI, or Tableau is good to have • CI/CD with Git and Azure DevOps or GitHub Actions; unit testing for data pipelines is good to have • Finance Management plus BE, BTech, or MCA is a plus

🏖️ Benefits

• Remote work / WFH arrangement • Part-time or full-time work option