GCP Senior Data Lead

Experience: 5 to Not Available years

Location: Chennai, India

Skills: GCP, Big Query, Airflow, DataProc, PubSub, Hadoop Hive, Spark, Python, shell scripting, SQL, Kafka, Git, Jenkins, CICD, Automated test frameworks, GitHub, GCP Professional Data Engineer

Job Summary
BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience.
5+ years of hands-on software development experience with Big Data & Analytics solutions
GCP Cloud - Big Query, Airflow, DataProc, PubSub,Hadoop Hive, Spark, Python, shell scripting,
Strong experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data and GCP technologies.
Proficiency in SQL and database systems, with experience in designing and optimizing data models for performance and scalability.
Experience of building event processing pipelines with Kafka or GCP PubSub.
Design and development experience with Airflow, PubSub Kafka, Git, Jenkins is desirable.
Knowledge of distributed (multi-tiered) systems, algorithms & relational databases.
Strong Object-Oriented Programming skills and design patterns.
Experience with CICD pipelines, Automated test frameworks, and source code management tools (XLR, Jenkins, Git).
Positive knowledge and experience with configuration management tools like GitHub
Ability to analyze complex data engineering problems, propose effective solutions, and implement them effectively.
Ability and willingness to learn, adopt and build solutions using the Enterprise frameworks established for Big Data
Looks proactively beyond the obvious for continuous improvement opportunities.
Communicates effectively with product and cross functional team.
Willingness to learn new technologies and leverage them to their optimal potential.




Understanding of various SDLC methodologies, familiarity with Agile & scrum ceremonies.
Certifications in cloud platform (GCP Professional Data Engineer) is a plus.
Provide engineering expertise to the team for developing features for Banking including Financial Crimes, Anti-money Laundering platforms
Improve engineering practices, including driving resilience, predictability, and end efficiency through automation
Partner with product teams to envision and deliver solutions which transform Financial Crimes Compliance using technology
Key Responsibilities
BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience.
5+ years of hands-on software development experience with Big Data & Analytics solutions
GCP Cloud - Big Query, Airflow, DataProc, PubSub,Hadoop Hive, Spark, Python, shell scripting,
Solid experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data and GCP technologies.
Proficiency in SQL and database systems, with experience in designing and optimizing data models for performance and scalability.
Experience of building event processing pipelines with Kafka or GCP PubSub.
Design and development experience with Airflow, PubSub Kafka, Git, Jenkins is desirable.
Knowledge of distributed (multi-tiered) systems, algorithms & relational databases.
Strong Object-Oriented Programming skills and design patterns.




Experience with CICD pipelines, Automated test frameworks, and source code management tools (XLR, Jenkins, Git).
Good knowledge and experience with configuration management tools like GitHub
Ability to analyze complex data engineering problems, propose effective solutions, and implement them effectively.
Ability and willingness to learn, adopt and build solutions using the Enterprise frameworks established for Big Data
Looks proactively beyond the obvious for continuous improvement opportunities.
Communicates effectively with product and cross functional team.
Willingness to learn new technologies and leverage them to their optimal potential.
Understanding of various SDLC methodologies, familiarity with Agile & scrum ceremonies.
Certifications in cloud platform (GCP Professional Data Engineer) is a plus.
Provide engineering expertise to the team for developing features for Banking including Financial Crimes, Anti-money Laundering platforms
Improve engineering practices, including driving resilience, predictability, and end efficiency through automation
Partner with product teams to envision and deliver solutions which transform Financial Crimes Compliance using technology
Skill Requirements
BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience.
5+ years of hands-on software development experience with Big Data & Analytics solutions
GCP Cloud - Big Query, Airflow, DataProc, PubSub,Hadoop Hive, Spark, Python, shell scripting
Python; PySpark; GCP; ETL - Big Data / Data Warehousing; Data Analytics; SQL; Git (GitHub, GitLab, BitBucket, SVN)
Other Requirements
1. Relevant certifications in Google BigQuery, SQL, Python, Google dataflow, or CA Erwin Data Modeler are a plus.

📌 GCP Senior Data Lead (Chennai)
🏢 HCL Technologies
📍 Chennai