Senior Data Engineer - R/PythonAnnex Solutions • Remo

Senior Data Engineer - R / Python

Annex Solutions • Remo

30+ days ago

Job type

Full-time

Job description

Description :

Shift Timing (Including time zone) : 2 PM 11 PM IST

Experience Range : 7+ years

Minimum Qualifications :

7+ years experience in a predictive and decision support analytics function
7+ years quantitative analysis experience
3+ years of advanced analytics development experience
Strong foundation in statistics
Bachelor's Degree in Computer Science, Computer Engineering, MIS, or related field

Must Have Skills :

General architecture

Familiar with large-scale analytical systems

Understanding of designing workflow / process-based systems

Experience solutioning Cloud based enterprise data architectures

Information architecture

Data Modeling principles for relational and dimensional data structures

Data Warehouse design principles (e.g. Kimball, Inmon)

Data Lake design principles

Cyclotron Internal 2

Hybrid enterprise data architecture

Expertise using various open source or dedicated analytics tools Matlab, R, Python, Scala

SQL Server core database engine (SQL, T-SQL code development)

Microsoft Azure

Azure Advanced Analytics

Azure PaaS

Azure Data Services

Azure Data Factory

Cosmos db

Azure Data Lake

Azure Databricks

Azure Storage, Azure Data Explorer, etc., etc.

Big Data technologies / Languages :

Python, Spark, Scala, PySpark

Good to Have Skills & Certifications :

Big Data technologies / Languages :

Information architecture

Data Science application experience

General DBMS experience

General Reporting capabilities

Microsoft SQL Server technologies

Key Responsibilities :

Architect, develop, and deploy robust, scalable data solutions using Azure Synapse, Databricks, Fabric, Data Factory, and related tools.

Design and optimize ETL / ELT data pipelines with Python, PySpark, and SQL for structured and unstructured data.

Build modern data architectures : data lakes, warehouses, lakehouses, and streaming platforms.

Implement and automate data ingestion, transformation, modeling, and validation within Azure and Databricks.

Lead end-to-end Power BI or Fabric analytics solutions, including semantic modeling, DAX, and data visualization.

Advice on data modernization, governance (Purview, Entra ID), and security best practices aligned with Microsoft frameworks.

Partner with clients and project teams, translate business requirements into actionable architectures, and communicate technical plans to stakeholders.

Mentor peers and guide teams on best practices, technical standards, and continuous learning in the Microsoft / Databricks ecosystem.

Author high-quality project, design, and technical documentation as well as support pre-sales and business development activities as needed.

(ref : hirist.tech)

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Senior Data Engineer RPython • Remo

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