Big Data Developer

Position Description

At CGI, were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com.
This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please.

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Your future duties and responsibilities
• Design and develop scalable data engineering solutions using Google Cloud Platform (GCP) and PySpark. • Optimize Spark jobs for performance, scalability, and efficient resource utilization. • Develop, maintain, and enhance ETL pipelines using BigQuery, Apache Airflow, and Cloud Composer. • Collaborate with data scientists, analysts, and DevOps teams to translate business requirements into technical solutions. • Ensure data integrity and security by implementing data governance, compliance, and security best practices. • Monitor production workloads, troubleshoot performance issues, and implement enhancements. • Implement and enforce coding standards, best practices, and performance tuning strategies. • Support migration activities from on-premises data warehouses to GCP-based solutions. • Mentor junior developers and contribute to knowledge-sharing within the team. • Stay up to date with emerging cloud technologies, tools, and best practices in the data engineering ecosyste

Required qualifications to be successful in this role
Skills : 5 years of Experience in Big Data, Hadoop, Spark, Python, PySpark, Hive, SQL Location : Pune / Bangalore / Chennai / Hyderabad Education : BE / B.Tech / MCA / BCA