Assistant Manager - Data Engineering

5 - 8 years

19 - 34 Lacs

Bengaluru

Posted:2 months ago| Platform: Naukri logo

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Skills Required

hive analytical pyspark data warehousing data architecture business intelligence sql plsql cloud data modeling gcp spark hadoop etl big data data lake python sql queries data analysis oracle microsoft azure data engineering sql server tableau aws data integration informatica

Work Mode

Work from Office

Job Type

Full Time

Job Description

Assistant Manager - Data Engineering: Role: Assistant Manager - Data Engineering Experience: 5 to 8 years Location: Bengaluru, Karnataka , India (BLR) Job Description: As a Senior Data Engineer you will be responsible for designing, developing, and maintaining data pipelines and infrastructure, enabling the organisation to collect, store, and analyse data efficiently. You will play a critical role in ensuring data quality, reliability, and accessibility, while also collaborating with stakeholder and cross-functional teams to support data-driven decision-making Job Responsibilities: 1. Data Pipeline Development: Design, implement, and maintain robust and scalable data pipelines that extract, transform, and load (ETL) data from various sources into data warehouses or data lakes. 2. Data Modelling: Develop and optimize data models and schema to support data analysis and reporting needs. 3. Data Integration: Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and integrate data sources into analytical platforms. 4.SQL Expertise: Write and optimize complex SQL queries for data extraction, transformation, and reporting. 5. Data Architecture: Contribute to the design and maintenance of the organisation's data architecture, making strategic decisions about data storage, processing. 6. Security and Compliance: Ensure data security and compliance with relevant data protection regulations, industry standards, and internal data governance policies. 7. Documentation and Collaboration: Document data pipelines, procedures, and best practices to facilitate knowledge sharing. Work closely with stakeholders, cross-functional teams, including data scientists, data analysts, and software developers, to address data-related challenges and meet their data needs Skills Required: Data Engineer, with a track record of successfully designing and implementing data pipelines and systems. SQL, PySPark, Cloud (GCP preferred) We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

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Analytics and Business Intelligence

Mumbai

501-1000 Employees

18 Jobs

    Key People

  • Rajesh Sinha

    Founder & CEO
  • Dennis S. Duan

    Chief Technology Officer

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