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Senior Data Engineer Lead

2 months ago

Irving, Texas, United States LTIMindtree Full time
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 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.

Job Title: Senior Data Engineer Lead

The Data Engineering Technology is a senior-level position responsible for establishing and implementing new or revised data platform ecosystems and programs in coordination with the Technology team.

The overall objective of this role is to lead data engineering teams to implement business requirements.

Key Responsibilities
  • Design, Build, and Maintain Data Pipelines

Develop and maintain batch or real-time data pipelines in data platforms to ensure accurate and efficient data processing.

Maintain and Optimize Data Infrastructure

Ensure the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources is maintained and optimized.

Develop ETL Processes

Develop extract, transform, and load (ETL) processes to help extract and manipulate data from multiple sources.

Automate Data Workflows

Automate data workflows such as data ingestion, aggregation, and ETL processing to improve efficiency and accuracy.

Prepare Data for Analytics

Prepare raw data in data warehouses into a consumable dataset for both technical and non-technical stakeholders.

Partner with Data Scientists

Partner with data scientists and functional leaders in sales, marketing, and product to deploy machine learning models in production.

Build and Deploy Data Products

Build, maintain, and deploy data products for analytics and data science teams on data platforms.

Ensure Data Quality and Security

Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.

Monitor Data Systems Performance

Monitor data systems performance and implement optimization strategies to improve efficiency and accuracy.

Leverage Data Controls

Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership.

Partner with Management Teams

Partner with multiple management teams to ensure appropriate integration of functions to meet goals and identify and define necessary system enhancements to deploy new products and process improvements.

Resolve Complex Problems

Resolve a variety of high-impact problems and projects through in-depth evaluation of complex business processes, system processes, and industry standards.

Provide Expertise and Guidance

Provide expertise in the area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint.

Develop Comprehensive Knowledge

Develop comprehensive knowledge of how areas of business such as architecture and infrastructure integrate to accomplish business goals.

Provide In-Depth Analysis

Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions.

Serve as Advisor or Coach

Serve as an advisor or coach to mid-level developers and analysts, allocating work as necessary.

Assess Risk and Ensure Compliance

Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding client, its clients, and assets by driving compliance with applicable laws, rules, and regulations, adhering to policy, applying sound ethical judgment regarding personal behavior, conduct, and business practices, and escalating, managing, and reporting control issues with transparency.

Qualifications
  • 6 Years of Total Experience

6 years of total experience, 6 years of relevant experience in data engineering roles.

Advanced SQL Skills

Advanced SQL skills and experience with relational databases and database design.

Strong Proficiency in Object-Oriented Languages

Strong proficiency in object-oriented languages, Python, Pyspark is a must.

Experience with Data Ingestion Tools

Experience working with data ingestion tools such as Talend, Ab Initio.

Experience with Data Lakehouse Architecture

Experience working with data lakehouse architecture such as Iceberg, Starburst.

Strong Proficiency in Scripting Languages

Strong proficiency in scripting languages like Bash.

Strong Project Management and Organizational Skills

Strong project management and organizational skills.

Excellent Problem-Solving, Communication, and Organizational Skills

Excellent problem-solving, communication, and organizational skills.

Proven Ability to Work Independently and with a Team

Proven ability to work independently and with a team.

Experience in Managing and Implementing Successful Projects

Experience in managing and implementing successful projects.

Ability to Adjust Priorities Quickly

Ability to adjust priorities quickly as circumstances dictate.

Demonstrated Leadership and Project Management Skills

Demonstrated leadership and project management skills.

Consistently Demonstrates Clear and Concise Written and Verbal Communication

Consistently demonstrates clear and concise written and verbal communication.

Education
  • Bachelor's Degree or Equivalent Experience

Bachelor's degree, University degree, or equivalent experience.

Masters Degree Preferred

Masters degree preferred.

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.