Senior Specialist - Data Engineering

Role description Role Description

Individual with strong technical background in SQL Server BI Data Analysis and strong knowledge of Data Warehousing Concepts

Role and Responsibilities

Designing and maintaining data systems and databases this includes fixing coding errors and other datarelated problems

Mining data from primary and secondary sources then reorganizing said data in a format that can be easily read by either human or machine

Using statistical tools to interpret data sets paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts

Demonstrating the significance of their work in the context of local national and global trends that impact both their organization and industry

Preparing reports for executive leadership that effectively communicate trends patterns and predictions using relevant data

Collaborating with programmers engineers and organizational leaders to identify opportunities for process improvements recommend system modifications and develop policies for data governance

Creating appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary

Skills required :

Cosmos SQL experience experience on MSBI stack SSISSSAS Any knowledge on C and Azure Data Factory would be a plus

Skills Required

Proven experience in SQL Server writing complex TSQL queries Performance tuning

Proven experience in Data Analysis dealing with large volume of datasets

Proven experience in Design Implementation of endend data pipelines

Coding skills in languages such as SQL Python andor R

Analytical and problemsolving skills

Experience with statistical software eg Stata SPSS

Knowledge of data gathering cleaning and transforming techniques

Reporting and data visualization skills using software like Tableau

Understanding of data warehousing and ETL techniques

Proficiency in Microsoft Excel

Ability to set and meet deadlines

Ability to work in highpressure situations

Experience with statistical software

Technical writing skills

Excellent attention to detail

Strong writtenverbal communication skills

Ability to QA and troubleshoot data

Must have

a ETL tools like SSIS

b Reporting tools like Power BI

c Analytical tools like SSAS Tabular and multiDimensional Cubes and MDX queries

Cosmos and scope scripts

Good to have knowledge of Microsoft Big Data Technologies

Good to have knowledge of Azure Data Factory

Excellent communication skills direct communication with Client

Skills Mandatory Skills : MS SQL Server, MSBI-SSAS, MSBI-SSRS, MySQL, PowerBI

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.

Benefits

• Compensation range: $75,000.00 to $85,000.00 per year About LTM LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises.
• We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise.
• Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value.
• Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it.
• Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship.
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