Technical Lead

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, MapReduce, 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:

o optimized file management

o Z-Ordering

o 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:

o PySpark — dataframe optimizations, partitioning, broadcast strategies, distributed computing.

o Kafka — producer/consumer design, schema registry, streaming ETLs.

o Hadoop ecosystem — HDFS, YARN, MapReduce/Tez, Oozie/Airflow.

o Hive — advanced query tuning, TEZ optimization, partition/bucket management.

· Extensive hands-on experience with Databricks Lakehouse, including:

o Bronze/Silver/Gold layer modeling

o Delta Lake optimizations

o Data quality frameworks on Lakehouse

o 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: $110,000- 125,000 a year

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Role: Technical Lead

Desired skills: Hadoop | Kafka | Hive

Qualifications: BACHELOR OF COMPUTER SCIENCE

• Experience: 10 - 15 Years

• Job function: TECHNOLOGY

• Location: Plano, TX

Salary range: $110,000–$125,000

Apply by: 2026-08-28 00:00:00