Data Analytics Engineer

Modernsignal Services; Hyderabad; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Modernsignal Services in Hyderabad is seeking a Data Analytics Engineer to design, develop, and maintain scalable data pipelines, analytics solutions, and reporting platforms.

You will bridge data engineering and business analytics by enabling high-quality data availability, building dashboards in Power BI/Tableau, and delivering actionable insights to stakeholders.

Qualifications

• Experience with SQL and data modeling concepts.
• Proficiency in Python for data analysis and automation.
• Experience with ETL/ELT development and BI visualization tools.

Responsibilities

• Design, develop, and optimize ETL/ELT pipelines.
• Build and maintain scalable data models and data warehouses.
• Integrate data from multiple sources ensuring data quality and consistency.
• Monitor and troubleshoot data pipelines to ensure reliability and performance.
• Develop interactive dashboards and reports using Power BI, Tableau, or similar BI tools.
• Translate business requirements into analytical solutions.
• Perform data analysis to identify trends, patterns, and business opportunities.
• Create KPIs, metrics, and performance reports for business users.
• Ensure data governance, security, and compliance standards are followed.
• Validate and cleanse data to improve data accuracy.
• Maintain documentation for data processes, models, and workflows.
• Work closely with business stakeholders, product owners, and technical teams.
• Support ad-hoc reporting and analytical requests.
• Provide recommendations based on data-driven insights.

Skills

SQL

Python

ETL/ELT

Power BI

Tableau

Looker

Data warehousing

Azure

AWS

GCP

Databricks

Snowflake

Tools

Azure

AWS

GCP

Databricks

Snowflake

Job description

Role & responsibilities:

Data Engineering

• Design, develop, and optimize ETL/ELT pipelines.
• Build and maintain scalable data models and data warehouses.
• Integrate data from multiple sources ensuring data quality and consistency.
• Monitor and troubleshoot data pipelines to ensure reliability and performance.

Analytics & Reporting

• Develop interactive dashboards and reports using Power BI, Tableau, or similar BI tools.
• Translate business requirements into analytical solutions.
• Perform data analysis to identify trends, patterns, and business opportunities.
• Create KPIs, metrics, and performance reports for business users.

Data Management

• Ensure data governance, security, and compliance standards are followed.
• Validate and cleanse data to improve data accuracy.
• Maintain documentation for data processes, models, and workflows.

Collaboration

• Work closely with business stakeholders, product owners, and technical teams.
• Support ad-hoc reporting and analytical requests.
• Provide recommendations based on data-driven insights.

Required Skills:

Technical Skills

• Strong SQL and database optimization skills.
• Experience with Python for data analysis and automation.
• Hands-on experience in ETL/ELT development.
• Experience with Power BI, Tableau, Looker, or similar visualization tools.
• Knowledge of data warehousing concepts and dimensional modeling.
• Experience working with cloud platforms such as Azure, AWS, or GCP.
• Familiarity with Spark, Databricks, or Big Data technologies is preferred.

Analytical Skills

• Strong problem-solving and critical-thinking abilities.
• Ability to interpret complex datasets and communicate findings effectively.
• Experience with KPI development and business performance analysis.

Preferred Skills

• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Databricks
• Power BI
• SQL Server
• Python
• Snowflake
• Data Modeling
• Data Governance
• Machine Learning fundamentals

Preferred candidate profile;

We are seeking a highly motivated Data Analytics Engineer to design, develop, and maintain scalable data pipelines, analytics solutions, and reporting platforms. The ideal candidate will bridge the gap between data engineering and business analytics by enabling high-quality data availability, building dashboards, and generating actionable insights for stakeholders.