Sapient Publicis
New Delhi
Jobs / Data Engineer

Data Engineer
Posted on: 7th December, 2021 | Closed

Skills C++
Experience 4 years+ exp
Cost to Company Best in industry
Job Location Gurgaon/Noida/Bangalore
How to apply Take a 3 hrs screening test organized by Sapient Publicis.
  • Opening time: Jan 21, 2022 12:30 PM UTC
  • Closing time: Jan 30, 2022 06:25 PM UTC
Note: You can take the test anytime between the given duration

Job Summary:

As Senior Associate L1 in Data Engineering, you will do technical design, and implement components for data engineering solutions. Utilize a deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to ensure the necessary health of the overall solution  

The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and Data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. Having hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms will be preferable.

Role & Responsibilities:

Your role is focused on Design, Development and delivery of solutions involving:

  • Data Ingestion, Integration and Transformation
  • Data Storage and Computation Frameworks, Performance Optimizations
  • Analytics & Visualizations
  • Infrastructure & Cloud Computing
  • Data Management Platforms
  • Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time
  • Build functionality for data analytics, search and aggregation

Experience Guidelines: 

Mandatory Experience and Competencies:

  1. Overall 3.5+ years of IT experience with 1.5+ years in Data related technologies
  2. Minimum 1.5 years of experience in Big Data technologies
  3. Hands-on experience with the Hadoop stack – HDFS, sqoop, Kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge of real-time data pipelines is added advantage.
  4. Strong experience in at least of the programming languages Java, Scala, Python. Java preferable
  5. Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQL DW, GCP BigQuery etc

Preferred Experience and Knowledge (Good to Have):

  1. Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands-on experience
  2. Knowledge of data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc
  3. Knowledge of distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Microservices architectures
  4. Performance tuning and optimization of data pipelines
  5. CI/CD – Infra provisioning on the cloud, auto-build & deployment pipelines, code quality
  6. Working knowledge with data platform related services on at least 1 cloud platform, IAM and data security
  7. Cloud data specialty and other related Big data technology certifications

Personal Attributes: 

  • Strong written and verbal communication skills
  • Articulation skills
  • Good team player
  • Self-starter who requires minimal oversight
  • Ability to prioritize and manage multiple tasks
  • Process orientation and the ability to define and set up processes
About Sapient Publicis

As a digital business transformation partner of choice, we’ve spent nearly three decades utilizing the disruptive power of technology and ingenuity to help digitally enable our clients' business in their pursuit of next.

We bring a startup mindset and agile methods to both established companies and the public sector to unlock value in ways that delight their customers and improve their operational effectiveness. Our approach to transformation is grounded in a view of both the company and the customers simultaneously, and a unique fusing of strategy and consulting, experience and engineering with an enduring culture of problem-solving creativity.

In the space between next and now is how. And we believe that how you seize that space is everything.

For more information, visit

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