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Application Support Engineer

Application Support Engineer

Accenture

1 - 4 years

3 - 7 Lacs

chennai

Posted:4 days ago| Platform:

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Skills Required

sprint data services azure sql data pipelines business systems data processing databricks microsoft azure elt data engineering sql analytics data quality agile etl data integration synapse analytics data lake azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

About The Role

Project Role :Application Support Engineer

Project Role Description :Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems.
Must have skills :Microsoft Azure Data Services

Good to have skills :NA
Minimum 5 year(s) of experience is required

Educational Qualification :15 years full time education
Summary:Must Have
Skills:

Azure Data Factory

Azure Databricks

Azure SQLGood to Have
Skills:

Pyspark

Microsoft Fabric

Data Lake StorageKey Responsibilities:a. Lead the team in designing, developing, and implementing data engineering pipelines using Azure Data Factory and Azure Databricks.b. Ensure timely delivery of project commitments with high-quality standards.c. Review and validate the work of team members to ensure adherence to best practices, coding standards, and architectural guidelines.d. Optimize and scale data pipelines to handle massive data volumes and high-velocity data processing.e. Collaborate with cross-functional teams and participate in agile rituals such as sprint planning, daily stand-ups, and retrospectives.f. Troubleshoot and resolve issues in data pipelines and workflows.g. Willingness to work in 1 PM to 10 PM shift timings.
Technical Experience:a. Hands-on experience in designing and implementing ETL/ELT pipelines using Azure Data Factory and Azure Databricks.b. Proficiency in PySpark for data transformation and processing.c. Strong expertise in SQL and experience in optimizing ETL/SQL processes for performance and scalability.d. Experience in ensuring data quality through validation, cleansing, and transformation techniques.e. Proven experience in building and deploying scalable, cloud-based data solutions using Azure services such as Data Lake, Synapse Analytics, and Azure SQL.f. Ability to analyze and derive insights from large datasets using Databricks and other analytical tools.g. Experience in performance tuning of Azure Data Factory pipelines and SQL databases to ensure optimal performance.h. Familiarity with Microsoft Fabric for data integration and orchestration is a plus.Professional Attributes:a. Strong problem-solving and analytical skills.b. Excellent communication and collaboration skills to work effectively with team members and stakeholders.c. Ability to mentor and guide junior team members.d. Adaptability to work in a dynamic and fast-paced environment.Educational Qualifications:

Bachelor's degree in Computer Science, Information Technology, or a related field.

Relevant certifications in Azure Data Engineering or related technologies are a plus.
Qualification 15 years full time education

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Application Support Engineer