Reply

Consulting and system integration across sectors

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeKochi, Kerala, IndiaNo salary listedHybrid

About the Job

Requirements

A Bachelor's degree in Computer Science, Computer Engineering, Management Information Systems, or a related field is required.
At least 5 years of experience with Microsoft SQL Server, including strong proficiency in Transact-SQL, SQL performance tuning, indexing, structure, and query optimization, is required.
At least 5 years of experience in Microsoft data platform development and implementation is required.
At least 5 years of experience with Power BI or comparable technologies is required.
At least 3 years of consulting experience focused on analytics and data solutions is required.
At least 2 years of experience with Databricks, including Unity Catalog, Databricks SQL, Workflows, and Delta Sharing, is required.
Proficiency in Python and Apache Spark is required.
Expertise in Microsoft Azure services, including Azure SQL, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Stream Analytics, is required.

Responsibilities

Design and implement general architecture for complex data systems.
Translate business requirements into functional and technical specifications.
Design and implement lakehouse architecture.
Develop and manage cloud-based data architecture and reporting solutions.
Apply data modelling principles for relational and dimensional data structures.
Design data warehouses following established principles such as Kimball and Inmon.
Create and manage source-to-target mappings for extract, transform, and load and extract, load, and transform processes.
Develop and manage Databricks notebooks for data transformation, exploration, and model deployment.
Mentor junior engineers and contribute to architectural decisions and code reviews.

Desired Qualifications

Experience with Microsoft Fabric.
Familiarity with continuous integration and continuous delivery pipelines and infrastructure-as-code tools such as Terraform or Azure Resource Manager.
Knowledge of taxonomies, metadata management, and master data management.
Familiarity with data stewardship, ownership, and data quality management.
Expertise with big data platforms such as Hadoop Distributed File System, MapReduce, Pig, and Hive.
General database management system experience with Oracle, DB2, MySQL, and similar technologies.
Experience with NoSQL databases such as HBase, Cassandra, DataStax, MongoDB, and CouchDB.
Experience with non-Microsoft reporting and business intelligence tools such as Qlik, Cognos, MicroStrategy, and Tableau.

Valorem Reply is looking for a Data Engineer with experience building and contributing to the design of database systems, both normalized transactional systems and dimensional reporting systems. Strong experience with SQL Server as a database engine, as well as Microsoft and Databricks technology experience implementing Big Data with Advanced Analytics solutions. Successful candidates will have experience and skill in providing solutions for storing, retrieving, transforming and aggregating data to support line of business applications as well as reporting systems. The Data Engineer will work with customers to deliver solutions utilizing strong business, technical and data modelling skills. This position will represent Valorem's approach to data visualization and information delivery solutions and as such must demonstrate proficiency with Power BI and Azure Data Services.

Key Responsibilities

Design and implement general architecture for complex data systems.
Translate business requirements into functional and technical specifications.
Design and implement lakehouse architecture.
Develop and manage cloud-based data architecture and reporting solutions.
Apply data modelling principles for relational and dimensional data structures.
Design Data Warehouses following established principles (e.g.,Kimball, Inmon).
Create and manage source-to-target mappings for ETL/ELT processes.
Mentor junior engineers and contribute to architectural decisions and code reviews.

Minimum Qualifications

Bachelor’s degree in computer science, Computer Engineering, MIS, or related field.
5+years of experience with Microsoft SQL Server and strong proficiency in T- SQL, SQL performance tuning (Indexing, Structure, Query Optimization).
5+years of experience in Microsoft data platform development and implementation.
5+years of experience with PowerBI or other competitive technologies.
3+years of experience in consulting, with a focus on analytics and data solutions.
2+ years of experience with Databricks, including Unity Catalog, Databricks SQL, Workflows, and Delta Sharing.
Proficiency in Python and Apache Spark.
Develop and manage Databricks notebooks for data transformation, exploration, and model deployment.
Expertise in Microsoft Azure services, including Azure SQL, Azure Data Factory (ADF), Azure Data Warehouse (Synapse Analytics), Azure Data Lake, and Stream Analytics

Preferred Qualifications

Experience with Microsoft Fabric.
Familiarity with CI/CD pipelines and infrastructure-as-code tools like Terraform or Azure Resource Manager (ARM).
Knowledge of taxonomies, metadata management, and masterdata management.
Familiarity with data stewardship, ownership, and data quality management.
Expertise in Big Data technologies and tools:

o BigData Platforms: HDFS, MapReduce, Pig, Hive.

o General DBMS experience with Oracle, DB2, MySQL, etc.

o No SQL databases such as HBase, Cassandra, DataStax, MongoDB, CouchDB, etc.

o Experience with non-Microsoft reporting and BI tools, such as Qlik, Cognos, MicroStrategy, Tableau, etc.

About Reply

Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services. www.reply.com

About the Company

Reply

Consulting and system integration across sectors

Reply designs and implements solutions based on new communication channels and digital media, organized as a network of specialized firms that provide consulting, system integration, and digital services. It helps organizations adopt digital business models by combining advisory, technology services, and implementation, including data analysis, cloud architecture, IoT deployment, and digital media integration. It differentiates itself by offering cross‑domain, tailor-made solutions through a network of experts rather than a single vendor, focusing on business‑model design around big data, cloud, IoT, and digital media. Its goal is to help clients unlock value, streamline operations, and transform their businesses across sectors.

Company size: 10,001+
Company stage: IPO
Headquarters: Turin, Italy
Founded: 1996

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