GCP Data engineer

About the job

Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business outcomes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation.

As part of the multibillion-dollar CKA Birla Group, Birlasoft, boasting a team of 12,500+ professionals, is committed to carrying forward the Group's illustrious 162-year legacy. At our core, we prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, ensuring our commitment to building not just businesses but inclusive and sustainable communities.

Join us in shaping a future where technology aligns seamlessly with purpose.

GCP Data engineer-5B:

Experience: 5 – 8 Years

Primary Location: Hyderabad (Primary), Bangalore (Secondary), or Pune (last option)

We are looking for an experienced Senior Data Engineer with a strong background in Google Cloud Platform (GCP)and Python development to join our growing data team. You will play a crucial role in designing, building, and maintaining scalable data pipelines and platforms that support business intelligence, analytics, and machine learning /Gen AI initiatives.

• Primary Skill: - Python and GCP (Big Query, Dataproc, Data Flow); Should be experience in developing ETL and ELT pipelines.
• 7–8 years of overall experience in Data Engineering / Software Development.
• Minimum 3–4 years hands-on experience with Google Cloud Platform (GCP).
• Strong proficiency in Python, especially with data manipulation libraries like Pandas, NumPy, and PySpark.
• Experience with SQL and performance tuning in BigQuery or other data warehouses.
• Experience working with tools like Dataflow (Apache Beam), Cloud Run, GKE and Cloud Functions.
• Good understanding of data modelling, partitioning, schema design, and data governance.
• Good understanding of containerization (Docker) and GKE for data workloads.