2 - 4 years

6 - 13 Lacs

Posted:3 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Overview:

Data Engineer

This is a unique greenfield opportunity to make foundational decisions, select the technology stack, and design the systems that will power analytics and data-driven decisions across the entire organization. We need a "builder" who thrives in a fast-paced environment, is excited by a blank canvas, and is passionate about creating scalable, reliable data platforms.

What You will Do:

  • Architect & Build:

    Design, build, and deploy the company's new data infrastructure from scratch, including data ingestion pipelines (ETL/ELT), data warehousing, and/or a data lake.
  • Technology Evaluation:

    Play a key role in evaluating, selecting, and implementing foundational technologies (e.g., cloud data warehouse, orchestration tools, transformation tools).
  • Pipeline Development:

    Develop robust, scalable, and automated data pipelines to collect and process data from diverse sources (e.g., application databases, third-party APIs, event streams).
  • Data Modeling:

    Collaborate with stakeholders to understand business requirements and design logical and physical data models for the analytical warehouse.
  • Foundation Setting:

    Implement frameworks for data quality, monitoring, logging, and alerting to ensure high data reliability and availability.
  • Stakeholder Collaboration:

    Work closely with business analysts, data scientists, and department heads to understand their data needs and deliver actionable solutions.
  • Documentation:

    Establish and maintain clear documentation for data architecture, pipelines, and processes to build a sustainable data practice.

Required Qualifications:

  • Experience:

    2-4 years of hands-on experience in data engineering.
  • Proven Builder:

    Demonstrated experience building data pipelines and data warehouses. Experience in a startup or greenfield environment is a significant plus.
  • Technical Skills:

  • Strong proficiency in

    SQL

    and data modeling.
  • Advanced programming skills in

    Python

    (preferred) or another language like Scala/Java.
  • Hands-on experience with at least one major

    cloud platform

    (AWS, GCP, or Azure) and its data services (e.g., Redshift, BigQuery, Snowflake, S3, GCS).

Modern Stack Knowledge:

  • Experience with data pipeline orchestration tools (e.g.,

    Airflow

    , Dagster, Prefect).
  • Experience with modern data transformation tools (e.g.,

    dbt

    , Spark).
  • Mindset:

    A

    proactive, self-starting attitude

    is essential. You must be comfortable with ambiguity, able to manage projects independently, and driven to take ownership from concept to completion.
  • Communication:

    Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Nice To Have:

  • Experience with

    streaming data technologies

    (e.g., Kafka, Kinesis, Pub/Sub).
  • Knowledge of

    Infrastructure as Code (IaC)

    tools (e.g., Terraform, CloudFormation).
  • Familiarity with containerization (Docker, Kubernetes).
  • Experience setting up initial data governance, security, and access control policies.
  • Bachelor's or master's degree in computer science, Engineering, or a related field.

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