Anblicks Solutions
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Ahmedabad · On-site · 5-8 Yrs · Aug 14
Information Technology Support Services · 501 to 1000 Employees · Addison, US
Anblicks is a Cloud Data Analytics Company – Enabling Enterprises with Data-Driven Decision Making. Since 2004, Anblicks has been enabling customers across the globe, with their digital transformation journey. Anblicks is headquartered in Addison, Texas, and employs more than 500 technology professionals, data analysts, and data science experts in the USA, India, and Australia. Anblicks is committed to bringing value to various industries using CloudOps, Data Analytics, and Modern Apps. Global customers benefited from our Anblicks Ignite Enterprise Data Platform and Accelerators.
Hiring: Engineering
What employees say
+ Good hike, supportive, flexible work environment.
− sometimes need to work based on clients time.
More reviews on the company profile.
Interview experience · Software Engineer
Interview Process was very smooth. Everything was discussed with Talent Acquistion team. Interviewers were also very kind and knowledgeable and ready to hear your answers. They explain you the question and scenario fully
Difficult difficulty · Ahmedabad · 16 reports
More interview insightsJob description
Overview
Role & responsibilities
Responsibilities
- Lead Data Engineer to design, develop, and maintain data pipelines and ETL workflows for processing large-scale structured and unstructured data. The ideal candidate will have expertise in Azure Data Services (Azure Data Factory, Synapse, Databricks, SQL, SSIS, and Data Lake) along with big data processing, real-time analytics, and cloud data integration and Team Leading Experience.
- Data Pipeline Development & ETL/ELT
- Design and build scalable data pipelines using Azure Data Factory, Synapse Pipelines ,Databricks, SSIS and ADF Connectors like Salesforce.
- Implement ETL/ELT workflows for structured and unstructured data processing.
- Optimize data ingestion, transformation, and storage strategies.
- Cloud Data Architecture & Integration
- Develop data integration solutions for ingesting data from multiple sources (APIs, databases, streaming data).
- Work with Azure Data Lake, Azure Blob Storage, and Delta Lake for data storage and processing.
- Database Management & Optimization
- Design and maintain cloud data bases (Azure Synapse, BigQuery, Cosmos DB).
- Optimize SQL queries and indexing strategies for performance.
- Implement data partitioning, compression, and caching for efficiency.
- Data Governance, Security & Compliance
- Ensure data quality, lineage, and governance with tools like Purview.
- Implement role-based access control (RBAC), encryption, and security policies.
- Ensure compliance with GDPR, HIPAA, and ISO 27001 regulations.
- Monitoring & Performance Tuning
- Use Azure Monitor, Log Analytics, and OpenTelemetry to track performance and troubleshoot data issues.
- Automate data pipeline testing and validation.
- Collaboration & Documentation
- Document data models, pipeline architectures, and data workflows.
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