L
Specialist - Data Engineering
Accepting applicationsLTM · Tampa, FL
Full-Time Mid_senior MentorPythonSicaiate
Posted
5d ago
Category
Test
Experience
Mid_senior
Country
United States
Role description
Job Title: Big DATA Developer
Work Location : Tampa FL
Job Description:
Seeking a Senior Big Data Engineer with 5 to 7 years of experience skilled in Apache Spark and Python to design and implement scalable data processing solutions
Develop and maintain robust data pipelines using Apache Spark and Python
Collaborate with data scientists and analysts to optimize data workflows
Ensure data quality and integrity across large datasets Implement data transformations and aggregations for analytics and reporting
Work with cross-functional teams to integrate data solutions into existing systems
Monitor and troubleshoot data processing jobs to ensure reliability and performance
Stay updated with emerging technologies and best practices in big data and Python development
Roles and Responsibilities
Design develop and optimize scalable data processing applications leveraging Apache Spark
Write clean efficient and reusable Python code to support data engineering tasks
Analyze complex data sets to identify trends and insights for business use
Collaborate with stakeholders to gather requirements and deliver data solutions that meet business needs
Mentor junior team members and contribute to sharing knowledge within the team
Participate in code reviews and ensure adherence to coding standards and best practices
Manage data pipeline deployments and monitor their health in production environments
Other details
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.
Show more Show less
Job Title: Big DATA Developer
Work Location : Tampa FL
Job Description:
Seeking a Senior Big Data Engineer with 5 to 7 years of experience skilled in Apache Spark and Python to design and implement scalable data processing solutions
Develop and maintain robust data pipelines using Apache Spark and Python
Collaborate with data scientists and analysts to optimize data workflows
Ensure data quality and integrity across large datasets Implement data transformations and aggregations for analytics and reporting
Work with cross-functional teams to integrate data solutions into existing systems
Monitor and troubleshoot data processing jobs to ensure reliability and performance
Stay updated with emerging technologies and best practices in big data and Python development
Roles and Responsibilities
Design develop and optimize scalable data processing applications leveraging Apache Spark
Write clean efficient and reusable Python code to support data engineering tasks
Analyze complex data sets to identify trends and insights for business use
Collaborate with stakeholders to gather requirements and deliver data solutions that meet business needs
Mentor junior team members and contribute to sharing knowledge within the team
Participate in code reviews and ensure adherence to coding standards and best practices
Manage data pipeline deployments and monitor their health in production environments
Other details
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.
Show more Show less
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