Senior Data Engineer

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• Solid experience with Database design practices and data warehousing concepts.

• Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load

data from various sources into our data warehouse.

• Hands on experience delivering data reporting requirements on On-Prem SQL Servers using SSIS

and/or other integration processes.

• Expertise with coding and implementing data pipelines in cloud-based data infrastructure in

batch and streaming ETL using Azure Data Factory, Spark, Python, Scala on Databricks.

• Experience working with Azure data lake storage and Azure SQL Databases.

• Optimize data ingestion and transformation processes to ensure efficient and scalable data

flows, Monitor and optimize database performance, including query tuning and index

optimization.

• Develop and maintain data models, schemas, and data dictionaries for efficient data storage and

retrieval.

• Perform data analysis, data profiling, and data cleansing to ensure data quality and accuracy,

data validation, quality checks, and troubleshooting to identify and resolve data-related issues.

• Develop Power BI dashboards, reports, and visualizations to effectively communicate data

insights. Implement data transformations, data modeling, and data integration processes in

Power BI.

• Create and maintain technical documentation related to database structures, schemas, and

Reporting solutions.

• Experience with MS office tools like excel, word, power point.

• Experience working with build and deploy tools Azure DevOps, GitHub, Jenkins.

• Experience working on an Agile Development team and delivering features incrementally using

Jira and Confluence.

• Stay up to date with industry trends and best practices in data engineering, Power BI and

proactively recommend and implement improvements to our data infrastructure.

• Ability to multi-task, be adaptable, and nimble within a team environment.

• Strong communication, interpersonal, analytical and problem-solving skills.

Preferred:

• Experience with API/REST, JSON

• Experience in Banking and Financial Domains.

• Experience in Cloud environment like GCP, Azure and AWS.

• Familiarity with containerization and orchestration technologies (Docker, Kubernetes) and

experience with shell scripting in Bash, Unix or windows shell is preferable.

• Experience with Power Automate and Power Apps.

• Experience with Collibra Data Lineage and Data Quality Modules.

Education: Bachelor’s degree in computer science or information system along with work experience in

a related field.

Seniority level Seniority level Mid-Senior level

Employment type Employment type Full-time

Job function Job function Consulting

Industries IT Services and IT Consulting

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