Data Analytics Engineer

APPLIED INFORMATION SCIENCES (AIS); Hyderabad; Hybrid; INR 2,400,000 - 4,200,000; Full time

Job summary

AIS (Applied Information Sciences) is seeking a Data Analytics Engineer to join our data and analytics platform. You will apply data science principles with the technical and architectural expertise of a data engineer.

This role will be focused on building robust and scalable data workflows and products, within the semantic layer, to help business stakeholders and analytic teams make data-driven decisions. The Role includes partnering with business stakeholders to define KPIs and metrics,

Qualifications

• 6+ years of experience in data analytics or data engineering.
• Experience building data pipelines and semantic models.
• Strong communication and collaboration with stakeholders.

Responsibilities

• Partner with stakeholders to define KPIs and data assets.
• Collaborate with data scientists to collect and clean data.
• Design and maintain Gold-layer datasets, data models, and semantic models.
• Develop scalable data pipelines with Databricks and PySpark.
• Maintain documentation for data products.
• Troubleshoot data quality issues in production.

Skills

Data Analytics

Python

SQL

Data Modeling

Governance

Stakeholder Communication

Tools

Databricks

Azure Synapse

Fabric

Hadoop

PySpark

Airflow

ADF

Job description

Greetings from AIS!!

AIS (Applied Information Sciences) is a highly regarded software and systems engineering firm providing professional application development services to commercial and government clients since 1982. One of Microsoft's oldest and largest Managed Gold partners in the U.S., AIS is exclusively focused on building enterprise-class custom applications using Microsoft technologies. As we continue to experience extraordinary growth, we are seeking professionals to join our AIS Team

For more information, please visit

• http://www.ais.com
• https://blog.ais.com

JOB DESCRIPTION

Role: Data Analytics Engineer

Exp.: Min. 6+ Years

Summary of Role:

We are seeking an experienced Analytic Engineer as part of our Data and Analytics Platform. In this role, you will apply data science principles with the technical and architectural expertise of a data engineer. This role will be focused on building robust and scalable data workflows and products, within the semantic layer, to help business stakeholders and analytic teams make data-driven decisions.

The Role:

• Partner with business stakeholders and cross-functional teams to define business goals, KPIs, metrics, and ensure data assets support analysis and decision-making.
• Work with data scientists, actuaries and other analytical colleagues to collect and clean data for analysis
• Design, develop, and maintain Gold-layer analytical datasets, data models, storage structures, and Power BI-ready semantic models.
• Design, develop, and optimize scalable, reusable, and governed data pipelines using Databricks and PySpark.
• Develop and maintain documentation for all data products
• Troubleshoot production data quality issues.

The Requirements:

• Proficiency in a modern data technology stack (e.g. Databricks, Azure: Synapse, Fabric, etc.)
• Strong understanding in Apache Spark or other big data frameworks (e.g. Hadoop); distributed computing experience a plus
• Advanced SQL skills and experience with relational databases and database design
• Intermediate to Advanced level in Python; working knowledge within PySpark a plus
• Strong proficiency in data pipeline and workflow management tools (e.g. Airflow, ADF)
• Strong analytical skills and experience with data modeling
• Strong project management and organizational skills
• Proven ability to work independently, collaborate across teams, and manage multiple priorities.
• Strong stakeholder communication skills with demonstrated ability to translate business requirements into technical solutions and maintain effective documentation and governance standards.

Should work as Individual Contributor. It's a Technical role. Good understanding level, client interaction and Should have Good Verbal and oral communication skills.