Principal Data Engineer

2 Months ago • 10 Years + • Data Analyst • Undisclosed

About the job

Job Description

Hashlist seeks a Principal Data Engineer to design and build a scalable data platform for ingesting, storing, managing, and streaming massive datasets. Responsibilities include defining data engineering guidelines, ensuring data quality, privacy, and security across pipelines, collaborating with cross-functional teams, implementing data governance policies (GDPR, CCPA), developing data APIs, leading an experimentation platform, improving platform performance, mentoring a team, and providing on-call support. The role requires 10+ years of software engineering experience, expertise in cloud platforms (AWS, Azure, GCP), and proficiency in streaming/batch pipelines, NoSQL databases, and DevSecOps.
Must have:
  • 10+ years software engineering experience
  • 5+ years architecting data products on public cloud
  • Expertise in streaming & batch pipelines (Kafka, Spark)
  • Strong data security & SQL optimization experience
  • Proficiency in NoSQL databases (DynamoDB, Cassandra)
  • Experience with DevSecOps and data governance

About the job

Hashlist is a platform for projects within the automotive industry.


We establish supplier relationships with automotive companies and provide a one-stop shop for candidates interested in working in the industry.


Are you ready to embark on this journey?


Our client is seeking a Principal Data Engineer. By applying, you gain access to the Hashlist network, unlocking opportunities in automotive projects across the industry.


Available locations: This position is open to candidates in Brazil and India (Bengaluru, Chennai & Pune).


Responsibilities:

  • Design and build a scalable data platform to ingest, store, manage, and stream massive amounts of data for high-quality data products and services.
  • Define and maintain data engineering design, security, and privacy guidelines.
  • Develop frameworks to ensure data availability, correctness, privacy, and security in all data pipelines.
  • Collaborate with data science, UX, and software engineering teams to optimize data pipelines and ensure low-latency access to data products.
  • Implement data governance policies to ensure GDPR and CCPA compliance for third-party data management.
  • Partner with software engineering teams to design data request/delivery APIs and standardize metering for data products.
  • Lead the implementation of an experimentation platform for testing data products.
  • Continuously improve reliability, performance, scalability, and quality, and own associated KPIs.
  • Build and mentor a world-class team of data engineers.
  • Provide on-call support for the platform and troubleshoot issues.


Qualifications:

  • 10+ years of software engineering experience with a proven track record of delivering successful software products.
  • 5+ years of experience architecting and building data products on public cloud platforms (AWS, Azure, GCP).
  • Expertise in streaming and batch pipelines (Kinesis, Apache Kafka, Apache Spark).
  • Strong experience with data security, preventive controls, and SQL optimization in AWS.
  • Proficiency in NoSQL databases like DynamoDB and Cassandra.
  • Experience with DevSecOps in data pipelines and operational excellence practices.
  • Advanced degree in Computer Science/Engineering or related fields (lower experience level accepted).


Next Steps:

  • Click "Apply."
  • We will review your application.
  • If qualified, you’ll be accepted into the Hashlist network and considered for this and other relevant projects.

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About The Company

Tamil Nadu, India (Hybrid)

Pune, Maharashtra, India (Hybrid)

Bengaluru, Karnataka, India (Hybrid)

Pune, Maharashtra, India (Hybrid)

Pune, Maharashtra, India (Hybrid)

Pune, Maharashtra, India (Hybrid)

Bengaluru, Karnataka, India (Hybrid)

Pune, Maharashtra, India (Hybrid)

Pune, Maharashtra, India (Hybrid)

Bengaluru, Karnataka, India (Hybrid)

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