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
https://www.nineleaps.com/