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GCP Data Engineer

3 months ago

Gurgaon, Haryana, India Persistent Systems Full time

About Us:

Persistent Systems is a respected company in Digital Engineering and Enterprise Modernization, combining deep technical expertise with industry experience to help clients stay ahead of the curve and take proactive measures. Our solutions, proven track record, and strong partner network give clients a distinct competitive edge, empowering them to envision the future and surpass expectations.

We collaborate with top-tier organizations in 18 countries, including leading US innovators, major banks in the US and India, and various trailblazers in healthcare. Furthermore, our commitment to delivery and customer service excellence has been acknowledged by ISG, receiving the prestigious ISG Star of Excellence Awards in 2020 and 2021.

At Persistent, our values go beyond mere corporate ideals - we are committed to fostering an inclusive environment that mirrors our employees' core beliefs and priorities.

We offer a people-centric workplace that allows our team members to:

  • Advance professionally and personally
  • Make a positive global impact utilizing cutting-edge technologies
  • Engage in collaborative innovation with an emphasis on diversity and work-life balance
  • Access global learning and career growth opportunities alongside industry experts

This approach has resulted in 95% CEO approval and 83% of employees recommending Persistent as an employer of choice to their peers.

Requirements:

  • Experience in designing and constructing data lakes on GCP
  • Developing and deploying ETL pipelines for data warehouse and data lake loading
  • Optimizing and troubleshooting data pipelines to ensure efficiency and reliability
  • Professional background as a GCP Data Engineer with expertise in big data
  • Comprehensive knowledge of SQL, Python, and data processing frameworks like Apache Spark and Hive
  • Experience with real-time/streaming data pipeline is a plus
  • Familiarity with Airflow or similar orchestration tools for data ingestion framework development
  • Proficiency in Kafka, Flink for real-time applications, and batch processing tools like EMR, Dataproc, and databricks
  • Understanding of Prism and related components

Key Technologies: GCP DataProc(Spark and Hive), Databricks(Spark), Kafka, Airflow, SQL, Scala(Preferred) or Python

Additional Skills: Exposure to a variety of technologies including Java, Big Data, PySpark, Spark SQL, Hadoop, YARN, GCP Cloud, Google Cloud Dataflow, Big Query, Elasticsearch, MySQL, Oracle, Cloudera, Azure HDInsight, AWS EMR, Python, Spring Boot, Spring Data, REST APIs, Kubernetes, Docker, Git, Oozie