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Senior Data Engineering Associate

4 weeks ago

Gurgaon, Haryana, India Publicis Sapient Full time
Job Title: Senior Associate Data Engineering L2 DE

About the Role:

We are seeking a highly skilled Senior Associate Data Engineering L2 DE to join our team at Publicis Sapient. As a key member of our data engineering team, you will be responsible for translating client requirements into technical design and implementing components for data engineering solutions.

Your Key Responsibilities:

  • Design and implement data engineering solutions using a deep understanding of data integration and big data design principles.
  • Utilize a range of technologies, including Hadoop, Spark, and NoSQL databases, to build custom solutions or implement package solutions.
  • Independently drive design discussions to ensure the necessary health of the overall solution.
  • Collaborate with cross-functional teams to deliver high-quality data engineering solutions.

Requirements:

  • Minimum 3 years of experience in Big Data technologies.
  • Hands-on experience with the Hadoop stack, including HDFS, Sqoop, Kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, Hive, Oozie, Airflow, and other components required in building end-to-end data pipelines.
  • Strong experience in at least one programming language, such as Java, Scala, or Python.
  • Hands-on working knowledge of NoSQL and MPP data platforms, including HBase, MongoDB, Cassandra, AWS Redshift, Azure SQL DW, GCP BigQuery, etc.
  • Well-versed and working knowledge with data platform-related services on AWS.
  • Bachelor's degree and 6-8 years of work experience or any combination of education, training, and/or experience that demonstrates the ability to perform the duties of the position.

What We Offer:

  • Opportunities to work on high-profile projects and collaborate with a talented team of data engineers.
  • A comprehensive benefits package, including 18 paid holidays, generous parental leave, and flexible work arrangements.
  • Professional development opportunities to help you grow your skills and advance your career.
  • A dynamic and inclusive work environment that values diversity, equity, and inclusion.

How to Apply:

If you are a motivated and experienced data engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information].