Senior Specialist - Data Engineering

Role description

Qualifications

Bachelor of Science degree in Computer Science or equivalent At least 7 years of postdegree professional experience At least 5 years of Airline industry experience 4 years development experience building and maintaining ETL pipelines 3 years of experience working with database technologies and data development such as Python PLSQL etc Experience in mentoring junior team members through code reviews and recommend adherence to best practices Deep understanding of writing test cases to ensure data quality reliability and high level of confidence Track record of advancing new technologies to improve data quality and reliability Continuously improve quality efficiency and scalability of data pipelines Expert skills working with queries applications including performance tuning utilizing indexes and materialized views to improve query performance Identify necessary business rules for extracting data along with functional or technical risks related to data sources eg data latency frequency etc Develop initial queries for profiling data validating analysis testing assumptions driving data quality assessment specifications and define a path to deployment Familiar with best practices for data ingestion and data design

Responsibilities

The Senior Data Engineer will play a leading role on the Enterprise Data Services team responsible for transforming data from disparate systems to provide insights and analytics for business stakeholders Youll leverage cloud based infrastructure to implement technology solutions that are scalable resilient and efficient You will collaborate with Data Engineers Data Analysts DBAs cross functional teams and business leaders You will architect design implement and operate data engineering solutions using Agile methodology that empower users to make informed business decisions

Candidate

You are self motivated work independently and have direct experience with all aspects of the software development lifecycle from design to deployment You have a deep understanding of the full life data lifecycle and the role that high quality data plays across applications machine learning business analytics and reporting Strong candidates will exhibit solid critical thinking skills the ability to synthesize complex problems and a talent for transforming data to create solutions that add value to a myriad of business requirements

You have the demonstrated ability to lead and take ownership of assigned technical projects in a fast paced environment Excellent written and speaking communication skills are required as we work in a collaborative cross functional environment and interact with the full spectrum of business divisions You demonstrate unsatiated curiosity and outstanding interpersonal soft skills Ideal candidates have more than just knowledge or skill set as they also have a can do mindset to find solutions

You have demonstrated ability to serve as a liaison with business users and walk with them through their problems to identify the best path forward You are also expected to provide technical counsel to other Data Engineers on the team and may be requested to review and guide their work to ensure all the work comes together successfully to meet the business need

Skills

Mandatory Skills : Python

About LTIMindtree
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by 83,000+ talented and entrepreneurial professionals across more than 40 countries, LTIMindtree — a Larsen & Toubro Group company — solves the most complex business challenges and delivers transformation at scale. For more information, please visit https://www.ltimindtree.com/. Please also note that neither LTIMindtree 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. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTIMindtree for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTIMindtree disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/