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Database Designer / Senior Data Engineer

Database Designer / Senior Data Engineer

VE3

5 - 8 years

8 - 12 Lacs

Pune

Posted:20 hours ago| Platform:

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Skills Required

Computer science Analytical Cloud Healthcare Data processing Data quality AWS Monitoring SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Architect & Design

Lead the design of modern, scalable data platforms on AWS and/or Azure, using best practices for security, cost\u2011optimisation and performance.

Develop detailed data models (conceptual, logical, physical) and document data dictionaries and lineage.

Build & Optimize

Implement robust ETL/ELT pipelines using Python, SQL, Scala (as appropriate), leveraging services such as AWS Glue, Azure Data Factory, and open\u2011source frameworks (Spark, Airflow).

Tune data stores (RDS, SQL Data Warehouse, NoSQL like Redis) for throughput, concurrency and cost.

Establish real\u2011time data streaming solutions via AWS Kinesis, Azure Event Hubs or Kafka.

Collaborate & Deliver

Work closely with data analysts, BI teams and stakeholders to translate business requirements into data solutions and dashboards.

Partner with DevOps/Cloud Ops to automate CI/CD for data code and infrastructure (Terraform, CloudFormation).

Governance & Quality

Define and enforce data governance, security and compliance standards (GDPR, ISO27001).

Implement monitoring, alerting and data quality frameworks (Great Expectations, AWS CloudWatch).

Mentor & Innovate

Act as a technical mentor for junior engineers; run brown\u2011bag sessions on new cloud services or data\u2011engineering patterns.

Proactively research emerging big\u2011data and streaming technologies to keep our toolset cutting\u2011edge.

Who You Are

Academic Background: Bachelor\u2019s (or higher) in Computer Science, Engineering, IT or similar.

Experience: \u22653 years in a hands\u2011on Database Designer / Data Engineer role, ideally within a cloud environment.

Technical Skills:

Languages: Expert in SQL; strong Python or Scala proficiency.

Cloud Services: At least one of AWS (Glue, S3, Kinesis, RDS) or Azure (Data Factory, Data Lake Storage, SQL Database).

Data Modelling: Solid understanding of OLTP vs OLAP, star/snowflake schemas, normalization & denormalization trade\u2011offs.

Pipeline Tools: Familiarity with Apache Spark, Kafka, Airflow or equivalent.

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Database Designer / Senior Data Engineer