Tech Mahindra (Americas) Inc.

Tech Mahindra (Americas) Inc.

Data Engineer (Tableau)

Tampa, Florida, USA · Senior · full-time

Sponsorship not specified$100k-$125kDetected 128 days ago
PythonSQLNoSQLAWSGCPAzureCloud PlatformsMachine LearningData AnalysisData EngineeringData VisualizationCommunicationProblem Solving

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

27% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 103 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: AT&T Services Inc · Cisco Systems Inc · Nissan North AmericaFiles as an H-1B dependent employer.

Files H-1B transfers

88 transfer filings in the last year, covering 88 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • This role requires a deep understanding of data modeling, ETL processes, and data visualization techniques.
  • Mentor junior data engineers and provide guidance on best practices in data management and visualization.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and architectures to support data analytics and reporting.
  • Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
  • Utilize Tableau to create interactive dashboards and visualizations that provide actionable insights to stakeholders.
  • Utilize Tableau PrepFlow to create/enhance, efficient & scalable data pipeline.
  • Implement data quality checks and ensure data integrity across various data sources.
  • Optimize existing data processes and workflows for efficiency and performance.

Requirements

  • Bachelor''s degree in Computer Science, Information Technology, or a related field.
  • 7-10 years of experience in data engineering or a related role.
  • Proven experience in using Tableau for data visualization.
  • Strong communication skills and ability to work collaboratively in a team environment.
  • The ideal candidate will have 7-10 years of experience in data engineering, with a proven track record of designing and implementing data solutions that drive business insights.

Nice to have

  • Preferred Skills: Experience with programming languages such as Python or Java.

Skills

  • Strong expertise in, Tableau Prep Flow & Tableau Desktop for data preparation, data visualization and dashboard creation.
  • Proficient in Tableau Desktop, Tableau Prep Flow, SQL and experience with relational databases.
  • Experience with ETL tools and data integration techniques.
  • Solid understanding of data warehousing concepts and data modeling.
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies.
  • Experience with programming languages such as Python or Java.
  • Knowledge of machine learning concepts and tools.
  • Familiarity with data governance and compliance standards.
  • Experience with NoSQL databases.
  • Strong analytical and problem-solving skills.
  • Mandatory Skills: Strong expertise in, Tableau Prep Flow & Tableau Desktop for data preparation, data visualization and dashboard creation.

Compensation

  • $100k-$125k

This listing is sourced directly from Tech Mahindra (Americas) Inc.'s careers page and normalized into a canonical job model.