Data Engineer

Hiring: Data Engineer

Location: Navi Mumbai

Experience: 10+ Years

Domain: Insurance / Finance (Preferred)

Key Skills Required:

7+ years in Data Engineering / Warehousing

Strong experience in Databricks (Mandatory)

Hands-on with SQL & Python (Mandatory)

Experience with databases: Postgres / SQL Server / Oracle / MySQL

AWS exposure (Preferred)

ETL pipeline development & data modeling

Knowledge of Spark, Kafka, Big Data tools (Good to have)

Cloud Platforms & Services

AWS S3, AWS Glue, AWS Lambda, AWS Redshift, AWS DMS, Snowflake, AWS IAM, AWS CloudWatch

DevOps & Collaboration Tools

CI/CD Integration, Git, Jenkins, Cloud Deployment Automation, Version Control, Agile Methodologies, Sprint-Based Deliveries, Cross-Functional

Collaboration

Data Modeling & Analytics

Star Schema, Snowflake Schema, Data Modeling, Dimensional Modeling, Fact Tables, Dimension Tables, Query Optimization, Reporting & Analytics, Financial Data Analytics, Trade Lifecycle Data, Transaction Processing, Regulatory Reporting, PnL Reporting, Risk Analytics, Power BI, Excel

Orchestration & Workflow Automation

Apache Airflow, DAG Design, Task Dependency Management, Pipeline Automation, Error Handling,Logging and Monitoring

Data Engineering & ETL

ETL Pipeline Design, Data Ingestion, Data Transformation, Data Migration, Batch Processing, Real-Time Data Processing, Incremental Loads, CDC,

Data Lake Architecture, Data Warehousing, PySpark,Python, SQL

Key Responsibilities:

Design & maintain ETL pipelines

Database optimization & performance monitoring

Data warehouse & architecture improvements

Work closely with stakeholders for data-driven insights

Handle migrations, upgrades & new developments

#DataEngineer #Databricks #AWS #SQL #Python #HiringNow #MumbaiJobs

Interested candidates can share their CV at: disha@hrpc.in

Or WhatsApp: +91 77108 44668