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Responsibilities/Expectations from the role
# Strong proficiency in SQL and experience with SQL Data Warehouse.
# Solid understanding of data warehousing concepts, data modeling, and ETL processes.
# Hands-on experience with Azure Synapse workspace, including designing and implementing data pipelines, T-SQL queries, stored procedures, and user-defined functions.
# Knowledge of end-to-end process on creation, maintenance of Data pipelines
# Should be very clear on Extract Transform Load (ETL) concepts and hold expertise in extraction methods and routing/filtering/lookup/transformation principles
# Proficiency in data integration and ETL tools such as Azure Data Factory / Synapse pipelines
# Should be clear on designing constructs for different data sets and come up with reusable templates for the same
# Familiarity with other Azure data-related services, such as Azure Data Lake, Azure SQL, or Power BI.
# Experience on Version control ADO GIT, implementation of CI CD.
# Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
# Excellent communication and interpersonal skills.
# Ability to do estimation, scoping, story pointing for 2 week sprints
# Capacity and velocity management for the team
# Requirement Analysis and questioning skills # Ability to showcase data analysis effectively using KPIs, metrics, Pivot tables, charts
# Experience with Data quality implementations assessing data correctness, completeness, uniqueness etc
# Experience working on PII, GDPR, handling sensitive data (encryption/decryption)
# Able to work as Individual contributor and with offshore team # Experience in creating data model (logical model, physical model, canonical model)
# Status reporting, interacting with Leads, Architects. # Data Platform, Product telemetry, Analytical thinking.
# Ensuring adherence to process expectations like Tech spec docs, wiki page updates, ADO guidelines Good to have
# Hands-on in Visualization like PowerBI.
# Marketing Campaign experiences # Knowledge of data governance practices, data security frameworks, and compliance regulations. Technical Skillset (Must Have): Azure Data Factory, SQL, Azure Synapse, PySpark, Azure storage (Azure Data lake Gen1 and Gen2, Azure blob storage), Azure Purview Technical Skillset (Good to have): Power BI, Dotnet, Azure Data Lake Analytics (SCOPE)
Great News! We've discovered an exciting live job opportunity for a Senior Data Engineer position in United States. This job is currently open for hiring/recruiting by E-Solutions, exclusively for you at American Jobs. Feel free to download the job details here.
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Yes, we found live job(s) for E-Solutions in United States.
Senior Data Engineer jobs are available in United States.
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The average salary range for Senior Data Engineer in United States varies, but the standard pay scale is rated "Standard" in United States. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively.
To apply for a job at E-Solutions follow the application process following the "Apply Now" button at American Jobs and also you can visit E-Solutions official career page and follow their application process.
Key qualifications for Senior Data Engineer typically include a list of qualifications and expertise as outlined in Bureau of Labor. Be sure to check the specific job listing for detailed requirements and qualifications.
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Benefits for Senior Data Engineer positions may include a list of benefits. These can vary from company to company, so it's important to review the specific job listing for details on benefits offered by the employer.
Not all jobs have remote job opportunities available. However, nowadays, many companies offer remote work options. You can find remote job listings for Senior Data Engineer on American Jobs.
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