Welcome page Returning Candidate? Log back in! Senior Data Engineer Job Locations IN-Bangalore ID 2024-4432 Position Type Full-Time Overview

Sr. Data Engineer 

What will you do: 

Build data pipelines to assemble large, complex sets of data that meet non-functional and functional business requirements Develop ETL solutions using Python, Powershell, SQL, SSIS etc. to load and automate complex datasets in PDF, Excel, flat files, JSON, XML, EDI etc.  Take the full ownership of end-to-end data processes on Azure Cloud environments Work closely with data architect, SMEs and other technology partners to develop & execute data architecture and product roadmap  Collaborate with the backend developers independently to understand the legacy applications and implement the features in a new system. Troubleshoot issues and other operational bottlenecks to support continuous data delivery for various applications.  Take initiatives to make changes and improvements, work on technical debt, new and complex challenges. Implement complex warehouse views, make database design decisions to support the UI need, optimize scripts to periodically refresh large volume datasets.  Perform code reviews and coach team members Develop reports on data dictionary, server metadata, data files and implement the reporting tools as needed. Implement best practices for data updates and development, troubleshoot performance and other data related issues on multiple product applications. Keep current on big data and data visualization technology trends, evaluate, work on proof-of concept and make recommendations on cloud technologies. 

 

What you bring: 

7+ years of data engineering experience working in partnership with large data sets and cloud architecture Deep experience in building data pipelines using the ETL tools and paradigms and loading data to and from RDBMS such Postgres, SQL Server, Oracle or similar.  Proficient in cloud services technologies such as Microsoft Fabric, Azure Data Factory, Data Lake, and other related technologies Proficient in using SSDT tools for building SQL server relational databases, databases in Azure SQL, Analysis Services data models, Integration Services packages and Reporting Services reports  Solid experience building data solutions with the programming languages such as Python, Powershell  Advanced T-SQL and ETL automation experience  Experience working with orchestration tools such as Airflow and building complex dependency workflows Self-motivated with the ability to work and learn new technology independently Great problem-solving capabilities, troubleshooting data issues and experience in stabilizing big data systems. Excellent communication and presentation skills 

 

Bonus points: 

Hands-on deep experience with cloud data migration, and experience working with analytic platforms like Fabric, Databricks on the cloud Certification in one of the cloud platforms (AWS/GCP/Azure) Experience with real-time data streaming tools like Kafka, Kinesis or any similar tools. Experience with the US health care reimbursement-related terminology and data is a plus 

 

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