Experience: 6–8 Years

Job Type: Full-Time

Location: Hyderabad

Work Mode: Hybrid

Department: Data Engineering & Analytics

Role Overview

We are looking for an experienced Data Engineer with 6–8 years of hands-on experience in designing, developing, and maintaining scalable data pipelines and data platforms. The ideal candidate should have strong expertise in SQL, Python, ETL/ELT development, data warehousing, and modern cloud data platforms, along with practical knowledge of Power BI for data visualization and reporting.

The candidate will work closely with data architects, analysts, BI developers, and business stakeholders to build reliable data solutions and deliver actionable business insights.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines using ETL/ELT methodologies.
- Develop complex SQL queries, stored procedures, and performance-optimized data transformations.
- Build and manage data integration workflows across multiple source systems.
- Work with cloud-based data platforms such as Databricks, Snowflake, or Azure Data Services.
- Develop data processing solutions using Python and PySpark.
- Implement data quality checks, validation frameworks, and monitoring mechanisms.
- Design and maintain data warehouse models, including dimensional and relational data models.
- Work with Power BI to develop dashboards, reports, datasets, and data models.
- Write and optimize DAX measures and Power Query transformations.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Troubleshoot data pipeline failures, performance issues, and data discrepancies.
- Follow best practices for data security, governance, documentation, and version control.

Required Technical Skills

- Data Engineering
- Strong SQL expertise, including complex queries, joins, CTEs, window functions, and query optimization.
- Hands-on experience with Python and PySpark.
- Strong understanding of ETL/ELT pipelines and data integration.




- Experience with data warehousing and data modelling concepts.
- Knowledge of incremental data loading, CDC, and pipeline orchestration.
- Cloud & Data Platforms
- Experience with one or more platforms:
- Databricks
- Snowflake
- Azure Data Factory
- Azure Synapse Analytics

- Understanding of Lakehouse architecture, Delta Lake, and Medallion architecture is preferred.
- Power BI & Analytics
- Practical experience developing Power BI dashboards and reports.
- Strong understanding of data modelling and relationships in Power BI.
- Knowledge of DAX, Power Query, and report optimization.
- Experience connecting Power BI with SQL databases, cloud data warehouses, and data lakes.
- Understanding of business KPIs and analytical reporting requirements.
- Engineering Practices
- Experience with Git and version control.
- Understanding of CI/CD processes and deployment practices.
- Knowledge of Agile/Scrum development methodologies.
- Strong debugging, troubleshooting, and problem-solving skills.

Preferred Qualifications

- Experience working on enterprise-scale data engineering projects.
- Exposure to Azure cloud services.
- Knowledge of data governance, metadata management, and data security.
- Relevant Databricks, Snowflake, Azure, or Power BI certifications.
- Experience working with international clients and distributed teams.

Education Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.

Ideal Candidate Profile

- 6–8 years of relevant experience in data engineering.
- Strong hands-on development experience rather than only coordination or support.
- Ability to independently design and develop data pipelines.
- Valuable understanding of both backend data engineering and BI reporting.
- Strong communication and stakeholder management skills.
- Ability to work independently and collaboratively in a fast-paced environment.

Keywords: Data Engineer, SQL, Python, PySpark, ETL, ELT, Databricks, Snowflake, Azure Data Factory, Data Warehousing, Power BI, DAX, Power Query, Data Modelling. Skills: power bi,python,data,sql

📌 Senior Data Engineer (Hyderabad)
🏢 Blumetra Solutions
📍 Hyderabad