Data Engineer

🕒 June 4

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Anteriad

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Anteriad is a company specializing in B2B data solutions and marketing services. They offer a wide range of services to enhance marketing strategies, including Audience Identification and Activation, Demand Generation, BDR and SDR-as-a-Service, and Analytics and Intelligence. The Anteriad Marketing Cloud provides a platform for programmatic advertising and content syndication, helping companies optimize their multi-channel marketing efforts. Certified as a top data provider, Anteriad's data solutions aim to drive customer acquisition, improve ROI, and support AI-powered marketing strategies. They are recognized for high data quality and transparency, catering to global clients who seek to enhance their marketing effectiveness with data-driven insights and strategies.

📋 Description

• Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions. • Design, develop, and maintain data integration solutions using Microsoft SQL Server, Azure Data Factory, Azure Databricks, Microsoft Fabric, and related Azure services. • Build, manage, and optimize ETL/ELT pipelines using Azure Data Factory and Microsoft Fabric Pipelines, including pipeline orchestration, parameterization, scheduling, monitoring, and error handling. • Develop and maintain data transformation logic using Azure Databricks notebooks and Microsoft Fabric notebooks, with a focus on performance, scalability, reusability, and operational reliability. • Design and implement data ingestion, transformation, validation, and delivery processes across structured, semi-structured, and external data sources. • Develop and optimize data integration processes utilizing Azure Data Factory, Azure Databricks, Azure Storage Accounts, Azure Data Lake Storage, Azure Key Vault, Microsoft Fabric Lakehouses, Warehouses, Pipelines, and Notebooks. • Build and maintain SQL-based data models, stored procedures, views, automation scripts, and database objects to support operational and analytical workloads. • Support the modernization and migration of legacy data integration processes from SSIS and on-premises platforms to cloud-based Azure and Microsoft Fabric architectures. • Design and implement reusable pipeline patterns, data quality checks, validation controls, logging, alerting, and performance monitoring processes. • Support new client onboarding efforts by designing and implementing reliable data ingestion, transformation, reconciliation, and validation workflows. • Troubleshoot and resolve data pipeline, data quality, performance, and integration issues in collaboration with teams across Intelligence & Analytics. • Design, develop, and maintain datasets, semantic models, and data structures that support reporting, analytics, and visualization solutions across Power BI, Excel, Microsoft Fabric, and other business intelligence platforms. • Contribute to data engineering standards, documentation, best practices, and reusable frameworks that improve scalability, maintainability, and operational efficiency. • Research, evaluate, and recommend emerging technologies and platform capabilities that improve data architecture, automation, performance, and reliability.

🎯 Requirements

• 3+ years of experience in data engineering, data integration, business intelligence engineering, or a related technical role. • 3+ years of experience writing, optimizing, and troubleshooting SQL, including T-SQL, stored procedures, views, indexing strategies, and query performance tuning. • Hands-on experience designing, building, and supporting ETL/ELT pipelines using Azure Data Factory and/or Microsoft Fabric Pipelines. • Hands-on experience developing data processing and transformation logic using Azure Databricks notebooks, Microsoft Fabric notebooks, PySpark, Spark SQL, Python, or similar technologies. • Strong Microsoft SQL Server and relational database design principles skills. • Experience with Azure data platform services such as Azure Data Factory, Azure Databricks, Azure Storage Accounts, Azure Data Lake Storage, Azure Key Vault, and related cloud data services. • Strong knowledge and in depth work with Microsoft Fabric components such as Pipelines, Notebooks, Lakehouses, Warehouses, Dataflows, and semantic models. • Experience building reliable data ingestion and transformation processes from APIs, flat files, databases, web services, cloud storage, and other external data sources. • Hands on experience implementing data validation, reconciliation, monitoring, logging, and alerting processes for production data pipelines. • Experience supporting production data workloads, including troubleshooting failures, optimizing performance, and improving pipeline reliability. • Prior experience modernizing or migrating legacy ETL processes from SSIS, SQL Server, or on-premises environments to Azure or Microsoft Fabric is strongly preferred. • Bachelor’s degree in Computer Science, Information Technology, Data Analytics, a related field, or equivalent professional experience. • Power BI, semantic models, or other data visualization and analytics tools experience is a plus. • Experience with Customer Data Platforms, CDPs, database marketing, marketing analytics, or client data onboarding environments is a plus. • Working knowledge with AWS or Google Cloud Platform is a plus. • Strong analytical, problem-solving, and critical thinking skills. • Excellent verbal and written communication skills, with the ability to explain technical concepts to both technical and non-technical audiences. • Ability to work independently on moderately complex data engineering tasks while collaborating effectively in a team-oriented environment.

🏖️ Benefits

• Work from home • Training & development with unlimited access to Percipio LMS • Mix of collaborative & independent work • Community outreach via Anteriad Cares - encouraging staff to take time to volunteer • Professional mentoring program - career guidance from leadership • Employee Resource Groups - collaborate with others that share your passions!