About US: 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 750 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 nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com. 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. Azure Data Tech Lead
Job Description The Azure Data Engineer should have strong data infrastructure and data architecture skills, a proven track record of administration for data engineering teams, strong operational skills to drive efficiency and speed, strong project management skills, and a core value base for how analytics can proactively improve organizations. You will be part of the Enterprise Data & Analytics engineering technology team and will partner closely with a team of data scientists, business analysts & data engineers leading a cloud-based Data & Analytics strategy. The Azure Data Engineer will administer Azure based data pipeline projects with a focus on collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into insights using multiple technology platforms. Therefore, this role requires an understanding of how a secure data cloud environment is architected to gain real insights faster, with less friction and complexity. Ideal candidate should be a champion of building a distributed and scalable architecture that is metadata driven. You're also a detail-oriented person that believes data quality should never be sacrificed. The Azure Data Engineer will work closely with the Engineering teams to decide on needed infrastructure architecture and software design needs and act according to the decisions.
Responsibilities
Champion the use of technology & modern tools to optimize solutions and continuous process improvements
Facilitate team to design, build and test end to end data pipeline including data ingestion (streaming, events and batch)
Administer the Big data platform on the cloud
Implement automation of jobs and testing
Optimize the data pipeline to support ML workloads and use cases
Support mission critical applications and near real time data needs from the data platform
Build and support reusable framework to ingest, integration and provision data
Capture and publish metadata and new data to subscribed users
Work collaboratively with product managers, data scientists as well as business partners and actively participate in design thinking session
Motivate, coach, and serve as a role model and mentor for other development team associates/members that leverage the platform
Establish relationship with key business lines, Infosec and infrastructure team
Ensure security is integrated into all cloud services.
Build, monitor, and manage the cloud infrastructure.
Monitor and optimize cloud workloads.
Review current and future AWS implementations and suggest ways to improve and standardize the cloud offerings.
Qualifications Required Skills:
BS/BA degree in Computer Science, Physics, Mathematics, Statistics or other Engineering disciplines
5+ years' experience in Azure
1-2 Years' experience with big data tools: Spark, Databricks
1-2 Years' experience with building relational SQL Data Warehouses
2-3 Years' experience with data pipeline and workflow management tools: Azure Data Factory, SSIS
Experience with object-oriented/object function scripting languages: Python, C#, Scala, VBA, etc.
Experience with systems scripting languages: Batch Scripts, PowerShell
Experience with Git/GitHub and automating builds
Strong interpersonal, verbal and written communication skills and ability to present complex technical/analytical concepts to executive audience
Strong business mindset with customer obsession; ability to collaborate with business partners to identify needs and opportunities for improved data management and delivery
Preferred Skills:
Experience building distributed architecture and IoT in a Dev/Ops environment
Experience in both Agile and Waterfall methodologies
Experience building and optimizing claims data pipelines, architectures/data models and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Experience with the Agile workflow, Test Driven Development, and continuous improvement/continuous deployment.
Strong analytic skills related to working with structured and unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management using Azure Automation, Azure Function Apps, and Azure Data Factory.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Working knowledge of Azure Automation, Azure Data Factory, and highly scalable 'big data' data stores such as Azure Blob Storage, Azure Data Lake
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
Excellent planning, prioritization, problem solving skills.
Experience with any of the following scripting languages, R, JSON, Parquet, JavaScript, Regex, PowerShell, shell scripting. Experience with Data Bricks, HDInsight, Python
Equal Employment Opportunity Policy: LTIMindtree provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics.
Safe return to office: In order to comply with LTIMindtree’s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree’s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree’s applicable processes.
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Are you passionate about using data to accelerate product development, drive business growth, and improve Financial Analytics experience? Join us to make a significant impact on our firm\'s agenda of enabling faster innovation through data.
