D 365- Data Engineer
Zensar Technologies · Pune · onsite · Posted 42d ago
Undisclosed8–12 yrsfulltimeSourced from
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About this role
We are seeking a highly skilled Senior Data Engineer with 8-12 years of experience in designing, developing, and managing scalable data platforms and enterprise data solutions. The ideal candidate will have strong expertise in data engineering, cloud technologies, ETL/ELT development, data warehousing, and big data ecosystems.
The candidate will play a key role in building modern data platforms, enabling advanced analytics, business intelligence, AI/ML initiatives, and data-driven decision-making across the organization.
Qualification:
Required Technical Skills
Data Engineering
- Data Modeling (Dimensional & Relational)
- ETL/ELT Development
- Data Warehousing Concepts
- Data Lake & Lakehouse Architecture
- Data Migration & Data Integration
- Real-Time Data Processing
Cloud Platforms (Any One or More)
- Microsoft Azure
- Azure Data Factory (ADF)
- Azure Synapse Analytics
- Azure Data Lake Storage (ADLS)
- Azure Databricks
- Microsoft Fabric
- AWS
- Glue
- Redshift
- EMR
- S3
- Google Cloud Platform (GCP)
- BigQuery
- Dataflow
- Cloud Storage
Big Data Technologies
- Apache Spark
- Databricks
- Hadoop Ecosystem
- Kafka
- Delta Lake
Databases
- SQL Server
- Oracle
- PostgreSQL
- MySQL
- Snowflake
- Azure SQL Database
Programming Skills
- Python
- SQL
- PySpark
- Scala (Preferred)
- Shell Scripting
DevOps & Version Control
- Azure DevOps
- Git
- CI/CD Pipelines
- Jenkins
Required Experience
- 8-12 years of overall IT experience.
- Minimum 5+ years of experience in Data Engineering.
- Strong hands-on expertise in SQL and Python.
- Experience with cloud-based data platforms (Azure preferred).
- Expertise in building data pipelines, ETL/ELT frameworks, and data warehouses.
- Experience working with large-scale structured and unstructured datasets.
- Knowledge of data governance, security, and compliance frameworks.
- Experience in Agile/Scrum delivery models.
Preferred Qualifications
- Bachelors or Masters degree in Computer Science, Information Technology, Engineering, or related field.
- Microsoft Certified: Azure Data Engineer Associate (DP-203).
- Microsoft Fabric Certification.
- Databricks Certified Data Engineer.
- AWS or GCP Data Engineering Certifications.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines and data integration frameworks.
- Build and optimize ETL/ELT processes for structured and unstructured data sources.
- Develop and manage enterprise data warehouses, data lakes, and lakehouse architectures.
- Implement data ingestion, transformation, and orchestration solutions using cloud-native services.
- Collaborate with business analysts, data scientists, architects, and stakeholders to understand data requirements.
- Ensure data quality, governance, security, and compliance standards are met.
- Optimize database and query performance for large-scale datasets.
- Design and implement real-time and batch data processing solutions.
- Support reporting, analytics, AI/ML, and advanced data engineering initiatives.
- Participate in architecture reviews and provide technical leadership to the data engineering team.
- Develop CI/CD pipelines and automate deployment processes for data platforms.
- Mentor junior engineers and establish engineering best practices.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
Azure DevopsAgileApache SparkApacheamazon web servicesAzure SQL DatabasebigqueryAnalyticsADLSAzure SynapseArchitectureazure data engineerAzure Data FactoryAdvanced AnalyticsAzure DatabricksAzure Data LakeMicrosoft AzureBig DataArtificial Intelligence
About Zensar Technologies
Zensar Technologies
IT Services & Consulting
10.0k+
employees
2001
25 years old
Pune, Maharashtra
India
About
Zensar is a global organization that conceptualizes, builds, and manages digital products through experience design, data engineering, and advanced analytics for leading companies.
Industries
IT Services & Consulting
Employee ratings
2,994 reviews
3.7/ 5
Culture
3.5
Career growth
3.0
Work-life
3.8
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