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dataroles

Senior Consultant - ETL/BI/Azure

Eeih Open
Telangana Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at Eeih. Telangana · full-time.

Pay not stated Data Engineering salary

RoleData Engineering
SenioritySenior
LocationTelangana
EmploymentFull-time
PostedSep 18, 2025
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Design Azure data warehouses and BI solutions that can scale as reporting needs grow
  • Build Power BI dashboards and analytics around business KPIs and executive reporting needs
  • Turn stakeholder reporting requests into BI solutions, then improve the underlying reporting process
  • Tune ETL/ELT pipelines and automate data workflows and monitoring with scripts
  • Protect reporting data quality and governance while integrating Big Data technologies into BI and warehouse solutions

What you bring

  • You have hands-on knowledge of Azure Synapse or Azure Data Warehouse, alongside cloud data services
  • You can build and optimize Power BI models, DAX, dashboards and reports
  • You bring advanced SQL skills, including query tuning and stored procedures, plus ETL/ELT pipeline experience
  • You can model data with star or snowflake schemas and handle access controls and compliance practices
  • You can automate data work with Python, Shell or PowerShell

Who this fits

This role suits a senior data professional who can own delivery end to end and work directly with business stakeholders. You'll need to explain technical choices clearly to non-technical partners and collaborate across business, IT and data engineering teams. The role is based in Telangana, India.

From the employer

  • Design and implementation of scalable data warehouse and BI solutions on Azure.
  • Drive the development of Power BI dashboards and analytics solutions aligned with business KPIs and executive reporting needs.
  • Collaborate with stakeholders to define reporting requirements and translate them into efficient BI solutions.
  • Oversee and optimize ETL/ELT pipelines for performance, scalability, and cost-efficiency.
  • Drive the use of scripting and automation to streamline data workflows and monitoring.
  • Collaborate with teams to integrate Big Data technologies into BI/DWH solutions.
  • Ensure data quality, governance, and compliance across all reporting layers.
  • Proactively identify opportunities to improve reporting processes and data warehouse architecture.
  • Act as a trusted advisor for BI strategy, suggesting best practices and emerging tools in the Azure ecosystem.

Essential Skills Technical
  • Data Warehousing (DWH) – design, architecture, and implementation
  • Azure Synapse Analytics / Azure Data Warehouse
  • Power BI – data modeling, DAX, dashboard/report design, optimization
  • SQL – advanced querying, optimization, stored procedures, performance tuning
  • Database Knowledge – relational models, indexing, schema design
  • ETL/ELT Tools & Pipelines – data integration and orchestration
  • Data Modeling – star schema, snowflake schema, SCDs, fact/dimension design
  • Data Governance & Security – role-based access, compliance best practices
  • Cloud Ecosystem (Azure) – storage, compute, and analytics services
  • Scripting languages such as Python, Shell, or PowerShell for automation and data handling.
  • Exposure to Big Data technologies (e.g., Spark, Databricks, Hadoop ecosystem).

Personal
  • Stakeholder Management – engage with business users to gather and translate requirements into BI solutions
  • Communication Skills – ability to explain technical concepts to non-technical stakeholders clearly
  • Analytical Thinking – strong problem-solving mindset with focus on business outcomes
  • Collaboration – work effectively with cross-functional teams (Business, IT, Data Engineering)
  • Project Ownership – ability to manage end-to-end delivery with accountability for timelines and quality
  • Adaptability – stay updated with emerging BI and cloud technologies, driving innovation in solutions

Preferred Skills Job
  • Knowledge of Oracle modules/tables: Financials, HR, Projects
  • Knowledge of OTBI Subject Areas/BI Publisher
  • Understanding of Financial Concepts is a plus
Personal
  • Demonstrate proactive thinking
  • Should have strong interpersonal relations and business acumen
  • Negotiation and persuasion skills are required to work with partners and implement changes
  • A very inquisitive mind that can factor in several variables acting on the situation

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.