Senior Data Engineer

Role Overview :
We are seeking a passionate and detail-oriented  Senior Data Engineer  with hands-on experience in  GCP and Big Data technologies . In this role, you will be responsible for designing and developing scalable, high-performance data processing systems and cloud-based data pipelines.
You will work closely with cross-functional teams including Data Scientists, Analysts, and Cloud Engineers to build robust data solutions that drive business insights and decision-making.

Key Responsibilities:

Design, build, and maintain  scalable ETL/ELT pipelines  using  Google Cloud Platform services  such as Big Query, Dataflow, Pub/Sub, and Cloud Storage
Develop and optimize  data processing applications using Java  for high-volume, low-latency environments
Leverage  Apache Spark / PySpark  for distributed data processing and transformation
Write complex and optimized  SQL queries  for large datasets ensuring performance and efficiency
Work with structured and unstructured data, ensuring  data quality, validation, and governance
Collaborate with business stakeholders to understand data requirements and translate them into technical solutions
Perform  performance tuning, debugging, and troubleshooting  of data pipelines and applications
Contribute to  CI/CD pipelines , version control, and deployment automation in cloud environments
Ensure adherence to  best practices in data engineering, security, and scalability
Stay updated with emerging trends in  Big Data, Cloud, and AI technologies

Primary Skills (Must Have):
Hands-on experience with  Google Cloud Platform (GCP)  (Big Query, Dataflow, Pub/Sub, Cloud Storage, etc.)
Solid understanding of  Big Data ecosystem  (Hadoop, Spark, distributed computing concepts)
Proficiency in  SQL  for data querying and transformation

Experience with  Apache Spark / Py Spark
Working knowledge of  Python  for scripting and data processing

Good to Have

Skills:

Exposure to  Generative AI (Gen AI)  concepts, tools, or use cases
Familiarity with  machine learning pipelines or AI integrations
Understanding of  data governance, data security, and compliance practices

Qualifications:

Bachelor’s degree in Computer Science, Engineering, or a related field
4–8 years of relevant experience in Data Engineering / Big Data / Cloud

Key

Competencies:

Strong analytical and problem-solving skills
Ability to work in a fast-paced, collaborative environment
Good communication and stakeholder management skills
Proactive mindset with a strong eagerness to learn and grow