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ETL Developer

Job in Plano, Collin County, Texas, 75086, USA
Listing for: Tata Consultancy Services
Full Time position
Listed on 2026-08-14
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 80000 USD Yearly USD 80000.00 YEAR
Job Description & How to Apply Below
  • Delta Change Data Feed (CDF) o schema evolution & enforcement o ACID transaction handling


Job Description

Must Have Technical/Functional Skills

Primary skills:
PySpark, Apache Kafka, Hadoop Ecosystem, Hive, Databricks Lakehouse Architecture, Delta Lake, Bronze/Silver/Gold Data Modeling, Big Data ETL Pipeline Development, SQL, Real-time Data Ingestion Frameworks, Data Governance & Cataloging, CI/CD Tools – Git, Jenkins, Bitbucket, Workflow Orchestration, and Cloud & On-Prem Big Data Platforms.

Experience:

Minimum 10+ years

Roles & Responsibilities

Seeking a Senior Big Data Engineer with 10–13 years of experience specializing in Hadoop, PySpark, Kafka, Hive, and strong experience designing data solutions for large-scale financial systems.

In addition, the candidate must possess advanced expertise in Databricks Lakehouse architecture, particularly around Bronze/Silver/Gold layer data modeling, Delta Lake optimizations, and building reliable, scalable pipelines for regulatory, risk, trading, and analytics workloads.

This role focuses on delivering highly performant, well-governed data platforms that support the bank’s mission-critical global markets functions.



Key Responsibilities

Big Data Platform Engineering
  • Design, develop, and optimize PySpark-based ETL pipelines running on on‑prem Hadoop clusters and cloud environments.
  • Build high‑volume ingestion frameworks using Kafka for real-time and near-real-time trading and market data.
  • Develop, tune, and manage Hadoop ecosystem components—HDFS, YARN, Map Reduce, Tez, Oozie/Airflow.
  • Build high-performance, optimized Hive data models for regulatory reporting, trade lifecycle, and market risk processing.
Databricks Lakehouse & Delta Framework
  • Architect and implement Bronze/Silver/Gold layer modeling patterns within the Databricks Lakehouse.
  • Apply Delta Lake best practices including:
  • optimized file management
  • Z-Ordering
  • Delta Change Data Feed (CDF) o schema evolution & enforcement o ACID transaction handling
  • Build reusable frameworks for ingestion, cleansing, transformation, and consumption of data across Lakehouse layers.
  • Enable governance, lineage, and auditability using Unity Catalog or equivalent cataloging tools.
Collaboration, Leadership & Delivery
  • Collaborate closely with quants, product owners, architects, risk tech, and business users.
  • Participate in agile ceremonies — sprint planning, refinement, design reviews.
  • Mentor junior engineers and contribute to building strong engineering practices across tech teams.
Required Skills & Experience

  • 10–13 years of hands-on experience in Big Data engineering.
  • Expert skills in:
  • PySpark — dataframe optimizations, partitioning, broadcast strategies, distributed computing.
  • Kafka — producer/consumer design, schema registry, streaming ETLs.
  • Hadoop ecosystem — HDFS, YARN, Map Reduce/Tez, Oozie/Airflow.
  • Hive — advanced query tuning, TEZ optimization, partition/bucket management.
  • Extensive hands-on experience with Databricks Lakehouse, including:
  • Bronze/Silver/Gold layer modeling
  • Delta Lake optimizations
  • Data quality frameworks on Lakehouse
  • Structured & unstructured data handling
  • Experience in Global Markets, Risk, Treasury, Trade Surveillance, or Regulatory Reporting.
  • Strong SQL knowledge with experience working on massive datasets (TB/PB scale).
Experience with CI/CD practices — Git, Jenkins, Bitbucket, build pipelines.

TCS Employee Benefits Summary

Discretionary Annual Incentive.

Comprehensive Medical Coverage:
Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support:
Maternal & Parental Leaves.

Insurance Options:
Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth:
Commuter Benefits & Certification & Training Reimbursement.

Time Off:
Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance:
Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range: $80, a year

Qualifications: BACHELOR OF COMPUTER SCIENCE #J-18808-Ljbffr
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