Senior Specialist - Data Engineering

As part of a global IT team supports the position provides technical support and development expertise to include but not limited to Provides technical support and development expertise for Data Warehouse technologies Snowflake Microsoft SQL Azure HANA and other on premise cloud environments in Global Trading portfolio Develop or enhance visualizations reporting data models data integration and ETL activities Support and break fix of existing data warehouse products Support maintenance activities such as service packs and version updates Execute demos projects proof of concepts in development or technical design Collaborate with project teams business customers and other support partners in solution ideation requirements gathering and product delivery Deliverables will be determined based on business priorities and improvement proposals of the Trading Teams Interaction with Middleoffice on Energy Trading Risk Management ETRM issues and interaction with other delivery teams for fortification scaling and sustainment projects

Strong Technical Competencies o Snowflake o Curation of Snowflake SQL stored procedure Managing data o JavaScript Java NET Python JS o Data modelling o Power B visualization techniques o Airflow Scheduled Job Python Containers OpenShift o API knowledge o Security Aspects SSO o Connectivity Azure and Onprem Strong communication and interpersonal skills with strong English proficiency Demonstrate critical thinking analytical skills and employ judgment to offer thoughtful concise input toward resolutions of problems Be able to translate business processes into data requirements Preferred Knowledge Skills andor Abilities Strong Advantage Comprehension of Trading application to data centric architecture and solutions o Working knowledge of Energy Trading Risk Management ETRM systems Working knowledge of Agile Frameworks ie Scrum and Kanban Ability to manage workload under time pressure and changing priorities Knowledge of business application product lifecycle design implementation change management

Mandatory Skills : Azure Data Factory, Python for DATA, Snowflake

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.