Senior/Lead Data Engineer

2 days ago

Gurgaon, Haryana, India SRIJAN TECHNOLOGIES Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Job Description

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Senior/Lead Data Engineer - Databricks

Location: Gurgaon
Team: Technology Team
Job Type: Full-time | Partially remote
Apply by: No close date

We are seeking a highly skilled and experienced Data Engineering Lead with a strong background in the retail domain and exceptional programming abilities. As a Lead, you will play a pivotal role in implementing and optimizing data architecture to support our retail business operations and analytics initiatives. Your expertise in Spark programming, optimization techniques, and familiarity with Databricks and CI/CD practices will be instrumental in ensuring the efficient and effective management of our data ecosystem.

Important Pointers (skills should be in the CV)
  • Data Platform (Data Engineers)
  • Data Lake: AWS S3 / Azure / Dell Cloud Data Lake with Delta Lake format
  • Data Warehouse: Databricks, IOMETE, Google BigQuery for analytical workloads
  • Batch Processing / Stream Processing: Batch/real-time processing of data pipelines
  • Database: PostgreSQL for transactional data, NoSQL (ex. MongoDB, Cassandra) for document storage
Responsibilities:
  • Design and develop data models, data integration processes, and data pipelines to capture, transform, and load structured and unstructured data from various retail sources.
  • Hands-on programming in Spark to develop and optimize data processing applications and analytics workflows.
  • Apply optimization techniques to enhance the performance and efficiency of data processing and analytical tasks.
  • Evaluate and implement appropriate tools and technologies, including Databricks, to streamline data operations and ensure scalability and reliability.
  • Work closely with other team members to ensure data integrity, consistency, and accessibility across the organization.
  • Define and enforce best practices for data governance and data management, including data quality, metadata management, and data security.
  • Collaborate with DevOps teams to establish and maintain CI/CD pipelines for data engineering and analytics workflows.
  • Peer review of team members' deliverables.
  • Stay updated with the latest advancements and trends in the retail domain, data architecture, and programming languages to drive continuous improvement.
Requirements:
  • At least 5 years of experience in the data engineering domain.
  • Proven experience as a senior Data Engineer / Lead, preferably within the retail industry.
  • Strong programming skills with expertise in PySpark programming and optimization techniques.
  • Hands-on experience with Databricks, Deltalake, and its components for data processing and analytics.
  • Hands-on experience in data modeling, data integration, and ETL/ELT processes.
  • Experience in working with Gitlab pipelines and an in-depth understanding of CI/CD pipeline designs.
  • Experience with data governance, data quality, and metadata management.
  • Strong analytical and problem-solving abilities with a detail-oriented mindset.
  • Excellent communication and collaboration skills to work effectively with cross-functional teams.
  • Ability to adapt to a fast-paced and evolving environment while managing multiple priorities.
  • Good to have experience in at least one of the Cloud Vendors (AWS / Azure / GCP).
  • Good to have experience with streaming technologies as well.

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