Job highlights

- . Hands-on experience with at least one of: Microsoft Fabric,Azure Synapse Analytics,Databricks,Snowflake,Google BigQuery,or AWS Redshift
- To protect yourself,only communicate with recruiters using official Accordion.com email addresses,be cautious of requests for sensitive information or money,and verify information directly from our website. Senior Data Engineer - Data Management

Be alert: Scammers are impersonating recruiters on job boards, falsely offering jobs and soliciting money or personal information from job seekers. To protect yourself, only communicate with recruiters using official Accordion.com email addresses, be cautious of requests for sensitive information or money, and verify information directly from our website. Senior Data Engineer - Data Management

Location : Hyderabad, Telangana

Role Overview:

The Senior Data Engineer at Accordion is responsible for designing and developing robust, scalable data platforms that power analytics and AI-driven decision-making across client organizations. This role requires hands-on expertise in cloud-native data architecture, contemporary warehousing, and pipeline development, with the ability to independently lead work streams and mentor junior engineers.

The Senior Data Engineer will take an AI-first approach to every engagement leveraging AI development tools to accelerate delivery, building data infrastructure that is AI-ready by design, and contributing to MCP (Model Context Protocol) server builds that expose data capabilities to AI agents and LLM-powered workflows.

What You will do:





- 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: 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 proper governance, lineage, and accessibility patterns that enable downstream AI and analytics consumption.
- Contribute to the build and deployment of MCP (Model Context Protocol) servers to expose data platform capabilities as tools consumable by AI agents and LLM-powered workflows, where applicable.
- Integrate/leverage AI tools (Claude, GitHub Copilot, Cursor, or similar) responsibly to accelerate pipeline development, code reviews, and documentation.
- Collaborate with multiple 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.

Ideally, you have:

- An undergraduate degree (B.E/B.Tech.)



from a tier-1 or tier-2 institution.
- 3 6 years of experience in data engineering, data warehousing, or cloud data platform development.
- Strong SQL proficiency 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: Azure Data Factory, Databricks Workflows, dbt, or Apache Airflow.
- Familiarity with data lake and lakehouse architecture using open table formats (Delta Lake, Apache Iceberg) on cloud storage (ADLS, S3, GCS).
- Experience with streaming platforms (Apache Kafka, Azure Event Hubs, AWS Kinesis) is a strong plus.
- Hands-on experience owning end-to-end DevOps practices, including designing and implementing CI/CD pipelines, to ensure robust, scalable, and repeatable deployment of data solutions across environments.
- Working knowledge of BI tools (Power BI, Tableau, Looker) is a strong plus.
- Awareness of AI-ready data design principles governance, and accessibility for AI consumption.
- A strong habit of responsibly using AI tools to improve delivery speed and code quality.
- Proven ability to take initiative, drive innovation, and communicate effectively with stakeholders.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Data Engineer - Data Management (Hyderabad)
🏢 Accordion Partners
📍 Hyderabad