A

Accordion

Finance-focused consulting with portfolio operations technology

Senior Data Engineer - Data Management

Data EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listed

About the Job

Requirements

  • An undergraduate B.E./B.Tech. degree from a tier-1 or tier-2 institution.
  • Three to six years of experience in data engineering, data warehousing, or cloud data platform development.
  • Strong SQL proficiency, including query optimization, complex transformations, and data modeling across relational and columnar databases.
  • Hands-on experience with at least one of Microsoft Fabric, Azure Synapse Analytics, Databricks, Snowflake, Google BigQuery, or AWS Redshift.
  • Experience with cloud-native orchestration tools such as Azure Data Factory, Databricks Workflows, dbt, or Apache Airflow.
  • Familiarity with data lake and lakehouse architecture using open table formats such as Delta Lake and Apache Iceberg on cloud storage such as ADLS, S3, or GCS.
  • Hands-on experience owning end-to-end DevOps practices, including designing and implementing CI/CD pipelines for robust, scalable, and repeatable deployment of data solutions across environments.
  • Awareness of AI-ready data design principles, including governance and accessibility for AI consumption.
  • A strong habit of responsibly using AI tools to improve delivery speed and code quality.
  • Ability to take initiative, drive innovation, and communicate effectively with stakeholders.

Responsibilities

  • Partner with client stakeholders to understand business requirements and contribute to designing cloud-native data platform architectures that meet current and future needs.
  • Implement modern data integration patterns, including ELT/ETL orchestration, streaming pipelines, and real-time data processing.
  • Implement data solutions on technology-agnostic cloud modern data platforms such as Microsoft Fabric, Snowflake, Databricks, BigQuery, and Redshift.
  • Build data infrastructure that is AI-ready by design, ensuring governance, lineage, and accessibility patterns that enable downstream AI and analytics consumption.
  • Contribute to building and deploying MCP (Model Context Protocol) servers to expose data platform capabilities as tools for AI agents and LLM-powered workflows, where applicable.
  • Responsibly integrate or leverage AI tools such as Claude, GitHub Copilot, and Cursor to accelerate pipeline development, code reviews, and documentation.
  • Collaborate with stakeholders to define KPIs, data models, and metrics frameworks aligned with client goals.
  • Partner with Project Managers to develop and execute project plans within agreed schedules and timelines.
  • Conduct knowledge transfer sessions and mentor junior engineers.
  • Stay current on emerging cloud platforms, data tools, and AI ecosystem developments.

Desired Qualifications

  • Experience with streaming platforms such as Apache Kafka, Azure Event Hubs, or AWS Kinesis.
  • Working knowledge of BI tools such as Power BI, Tableau, or Looker.

About the Company

Accordion

Finance-focused consulting with portfolio operations technology

Accordion partners with private equity firms to drive value creation through financial consulting services and portfolio operations technology. The core offering combines hands-on support in the Office of the CFO with a technology platform called Maestro, which institutionalizes a private equity firm’s approach to value creation across the finance function. How it works: a team of consultants works alongside sponsor management to execute initiatives across finance processes, using Maestro to standardize and scale the PE value-creation playbook. What sets Accordion apart: it is the only firm focused exclusively on the CFO function within private equity, pairing dedicated execution expertise with a proprietary platform that codifies portfolio operations best practices. Its goal is to help private equity sponsors achieve flawless execution across portfolios, shaping a new era in private equity through disciplined, measurable value creation.

Company size
1,001-5,000
Company stage
Pre-seed
Total funding
$25K
Headquarters
New York City, New York
Founded
2009

Recently Posted Jobs

Explore more opportunities at Accordion

See more jobs