Specialist - Data Engineering

Role description

This list is intended to reflect the current job but there may be additional essential functions and certainly nonessential job functions that are not referenced Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so observing of course any legal obligations including any collective bargaining obligations Work closely with source data application teams and product owners to design implement and support analytics solutions that provide insights to make better decisions Implement data migration and data engineering solutions using Azure products and services Azure Data Lake Storage Azure Data Factory Azure Functions Event Hub Azure Stream Analytics Azure Databricks etc and traditional data warehouse tools Perform multiple aspects involved in the development lifecycle design cloud engineering Infrastructure network security and administration ingestion preparation data modeling testing CICD pipelines performance tuning deployments consumption BI ing prod support Provide technical leadership and collaborate within a team environment as well as work independently Be a part of a DevOps team that completely owns and supports their product Implement batch and streaming data pipelines using cloud technologies Leads development of coding standards best practices and privacy and security guidelines Mentors others on technical and domain skills to create multifunctional teams ALL YOULL NEED FOR SUCCESS Top Mandatory Skills 4 7 years of handson experience in Data Engineering Azure DatabricksAzure Data Factory primary skillset Azure Data Lake secondary skillset Teradata Nice to have Databricks Certification Minimum Requirements Bachelors degree in Computer Science Engineering Information Systems or related field or equivalent experience 5 years of experience in software development Agile DevOps designing developing and implementing largescale applications or data engineering solutions 5 years of data analytics experience using SQL and working with data platforms like Teradata Cassandra MongoDB Oracle SQL Server Snowflake ADLS and Azure Data Explorer 5 years of cloud development and data lake experience primarily in Microsoft Azure EventHub Data Factory Databricks Blob Storage Power BI Azure Functions etc

Other details

Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Benefits and Perks:

• Comprehensive Medical Plan Covering Medical, Dental, Vision


• Short Term and Long-Term Disability Coverage


• 401(k) Plan with Company match


• Life Insurance


• Vacation Time, Sick Leave, Paid Holidays


• Paid Paternity and Maternity Leave

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.