Senior Big Data Tech Lead - GCP, Spark & Flink

Tata Consultancy Services

Phoenix (AZ)

On-site

USD 100,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Discretionary Annual Incentive
Comprehensive Medical Coverage
Family Support: Leaves
401K Plan
Certification & Training Reimbursement
Vacation & Holidays

Job summary

Tata Consultancy Services in Phoenix, AZ, is seeking a BigData Tech Lead with 10+ years of experience to design, implement and optimize large-scale data platforms.

You will work with Apache Flink and Beam, SQL, and Google Cloud Platform services (BigQuery, Dataflow, Cloud Composer) to build robust batch and real-time pipelines, mentor engineers, and collaborate with cross-functional teams to deliver high-impact solutions.

Qualifications

  • Experience with cloud platforms like GCP and building scalable microservices.
  • Proficient in SQL and complex data transformations on large datasets.
  • Hands-on with Hadoop/Spark architectures and data processing pipelines.
  • Strong programming skills in Java or Python/Scala.
  • Experience writing and optimizing Spark/Hive SQL queries.

Responsibilities

  • Design and develop optimized data pipelines for batch and real-time processing.
  • Lead and mentor data engineering teams on best practices and architecture.
  • Collaborate with cross-functional stakeholders to define data solutions.
  • Deliver scalable, reliable and maintainable data platforms.

Skills

Apache Flink
Apache Beam
SQL
Hadoop
Spark
Core Java/Python/Scala
UNIX shell scripting
Data pipelines
GCP (BigQuery)
Dataflow
Cloud Composer
GitHub/Bitbucket
CI/CD

Tools

GitHub/Bitbucket
CI/CD pipelines
BigQuery
Dataflow
Cloud Composer

Job description

Tata Consultancy Services in Phoenix, AZ, is seeking a BigData Tech Lead with 10+ years of experience to design, implement and optimize large-scale data platforms.

You will work with Apache Flink and Beam, SQL, and Google Cloud Platform services (BigQuery, Dataflow, Cloud Composer) to build robust batch and real-time pipelines, mentor engineers, and collaborate with cross-functional teams to deliver high-impact solutions.

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