Data Engineer

Mouri Tech; Hyderabad; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Mouri Tech in Hyderabad, India, seeks a Staff Data Engineer to architect and implement data integration pipelines using Azure Data Factory, SQL Server, and Databricks. You will load and transform data from disparate sources, design scalable data models, and drive real-time and batch ETL/ELT solutions while mentoring teammates.

Collaborate with stakeholders to ensure data quality, regulatory compliance, and performance.

Qualifications

• Bachelor's degree or equivalent in a relevant field.
• 4+ years with Microsoft SQL Server or an equivalent RDBMS.
• 4+ years building data integrations with ETL tools such as SSIS or Databricks.
• Proven knowledge of data integration patterns including ETL/ELT, event messaging and APIs.
• Familiarity with Change Data Capture and Change Tracking.
• Excellent communication and analytical skills.

Responsibilities

• Develop and maintain high-performance SQL Server based code (Stored Procedures, Views, Functions).
• Design and optimize ETL/ELT jobs loading data from multiple sources.
• Migrate on-premise solutions to Azure Databricks and cloud platforms.
• Mentor teammates and participate in code reviews.
• Lead backlog grooming and technical ceremonies as a lead.
• Create CI/CD pipelines to automate delivery of data solutions.
• Support data solutions and investigate data quality issues.
• Model data for transactional and analytical workloads.
• Collaborate with stakeholders for requirements and status updates.

Skills

Excellent communication

Analytical skills

Collaborative

Education

Bachelor's degree or equivalent in a relevant field

Tools

Azure Data Factory

Azure SQL Server

Databricks

Power BI

DataBricks

DB Performance Tuning

Job description

• Data Engineer, Azure Data Factory, Azure SQL Server, DataBricks, Fink jobs, Power BI, DB Performance Tuning
• Prior expereince using AI coding tools like Cursor, Claude

• Seeking a Staff Data Engineer who has experience integrating data using modern data integration tools and techniques. The ideal candidate should be proficient with creating tables, writing stored procedures, functions and building ETL/ELT jobs to load data from disparate systems. The Staff Data Engineer will be loading data to and from a variety of sources including data marts and transactional applications with conventional ETL/ELT patterns as well as modern data streaming or messaging patterns.
• Develop and maintain high-performance code based on SQL Server stack, including Stored Procedures, Views, Functions, and table design for transactional and analytic purposes.
• Develop and maintain Extract Transform Load jobs (ETL/ELT) and other data integrations with real-time streaming and API based sources
• Develop new data solutions and migrate existing on-premise data solutions to cloud platforms including Azure Databricks and pyspark
• Mentor and assist with the technical development of teammates, assist with code and technical reviews
• Particiapte in backlog grooming and other agile cerimonies as a technical lead
• Create Continuous Integration and Continuous Delivery (CI/CD) pipelines to automate delivery of solutions
• Provide support for data solutions, including remediation of failed ETL jobs, integrations and investigation of data quality issues.
• Data modeling for transactional and analytical platforms.
• Work directly with stakeholders to gather requirements and provide status updates and solution support
• Ensure data solutions meet or exceed enterprise regulatory and compliance requirements
• Bachelor's degree in business, computer science, computer engineering, electrical engineering, system analysis or a related field of study, or equivalent experience.
• 4+ years experience using Microsoft SQL Server or equivalent RDBMS
• 4+ years experience building data integrations leveraging ETL tools such as SSIS or Databricks
• Proven knowledge of data integration patterns including ETL/ELT, event messaging and APIs
• Familiarity with database change capture tools including Change Tracking and Change Data Capture
• Familiarity with data modeling patterns for OLAP and OLTP workloads
• Familiarity with Master Data Management concepts and platforms
• Familiarity with data product Software Development Lifecycle (SDLC)
• Excellent communications skills.
• Excellent analytical and technical skills.
  The ability to work in a collaborative team environment