Nineleaps - Data Engineer

3 days ago

Bangalore Hyderabad IN Nexthire Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Role- Data Engineer

Experience- 3-5 Yrs

Location - Hyderabad & Bangalore (Hybrid)

Responsibilities:

  • Design, develop, and maintain scalable and robust data pipelines to support various data processing and analytics needs.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs.
  • Ensure data quality and integrity by implementing best practices for data validation, cleansing, and transformation.
  • Develop and optimize data models to support reporting, analytics, and machine learning applications.
  • Monitor and troubleshoot data pipelines, ensuring high availability and reliability of data processing systems.
  • Work with Hadoop and related technologies to manage and process large datasets.
  • Implement and maintain data security and privacy measures in compliance with organizational and regulatory requirements.
  • Integrate diverse data sources, both structured and unstructured, into a cohesive data ecosystem.
  • Document data engineering processes, standards, and best practices for knowledge sharing and continuity.

Required Skills :

  • Experience in Big data Distributed ecosystems:- Hadoop, Hive Excellent knowledge of HQL/PrestoQL:- Optimisations, complex aggregations, performance tuning
  • Experience building data processing frameworks, and big data pipelines. Solid understanding of DWH architecture, ELT/ETL processes, and data structures
  • Basic Understanding of Python:- ETL
  • Keep the SLA of maintained datasets(Tier 1, 2) to above 99%. (On-call)
  • Maintain the SLAs for Tier 3 tables as decided
  • Experience with big data technologies (e.g., Hadoop, Spark) and data warehousing solutions (e.g., Redshift, BigQuery).
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Experience with ETL tools and frameworks (e.g., Apache NiFi, Talend, Informatica).
  • Familiarity with cloud-based data platforms (e.g., AWS Glue, Azure Data Factory, Google Dataflow).

About Company :

Nineleaps employs AI stratagems to help global organizations breathe and oxygenate data into valuable outcomes across product and platform engineering functions. We thrive by creating high-performance business applications utilizing unique solutions with Cloud, AIOps, our NineX development platform, and other proprietary frameworks that have helped Global Startups and Fortune 500 companies experience value-driven collaboration with us. From catering to global applications through a single code base to deriving actionable insights from petabyte-scale data, our web of capabilities has helped us catalyze transformations while emphasizing human experiences.

Website

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