Data Engineer
Skills required
Cosmos SQL experience Azure Power BI
Knowledge of Azure Data Factory ADLS
Individuals with strong technical background in SQL SQL Server data engineering BI Kusto Data Analysis and strong knowledge of Data Warehousing Concepts
Customer facing code development and review of dev
TSQL queries Performance tuning
Proven experience in strong Data Analysis dealing with large volume of datasets
Proven experience in Design Implementation of endend data pipelines
Should have strong knowledge of Data Warehousing concepts
Should have very good experience in BI tools Reporting tools like Power BI
Microsoft Big Data Technologies
Knowledge on Azure VM Storage
Role and Responsibilities
Should be able write complex and efficient SQL queries
Should be able to design Implement endend data pipelines using cosmos and ADF
Problem analysis and troubleshooting complex large volume of datasets data issues
Strong communication skills should be able to communicate complex information to technical and nontechnical stakeholders
Skills
Mandatory Skills : ANSI-SQL, Azure BLOB, Azure Data Factory, AZURE DATA LAKE, Azure Functions, Azure SQL, Azure Synapse Analytics, Databricks, Java, Python, Scala, Snowflake
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):
Benefits and Perks:
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer : The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
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