Data Engineer

Kazam

1 - 4 years

3 - 6 Lacs

Bengaluru Karnataka India

Posted:1 day ago| Platform: Foundit logo

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Skills Required

ELT processes Airflow dbt

Work Mode

On-site

Job Type

Full Time

Job Description

About Kazam:We are an agnostic EV charging software platform building Indias largest smart and affordable EV charging network
Through our partnerships with fleets, CPOs, RWAs, and OEMs we have been able to create a robust charging network with over 7000 devices on our platform
Kazam is enabling fleet companies, charge point operators, OEMs by providing affordable and complete software stack like white label template app (both android & iOS), API integration, load management solution & charger monitoring dashboard so that you can do hassle free business without worrying about technology
(Please note that you can use both Kazam chargers and OCPP enabled charging points via our platform)
Not only that, we are able to drive utilisation to your charging station leveraging Kazam s network for 50,000+ EV drivers
Through our partnerships with Fleets, CPOs, RWAs and OEMs we have been able to create a robust charging network with over 11000+ devices on our platform
Key ResponsibilitiesWork with analytics teams to ensure data is clean, structured, and accessible for analysis and reporting
Implement data quality and governance frameworks to ensure data integrity across the organization
Contribute to data exploration and analysis projects by delivering robust, reusable data pipelines that support deep data analysis
Design, implement, and optimize scalable data architectures, including data lakes, data warehouses, and real-time streaming solutions
Develop and maintain ETL/ELT pipelines to ensure efficient data flow from multiple sources
Leverage automation to streamline data ingestion, processing, and integration tasks
Develop and maintain scripts for data automation and orchestration, ensuring timely and accurate delivery of data products
Work closely with DevOps and Cloud teams to ensure data infrastructure is secure, reliable, and scalable
Qualifications & SkillsTechnical Skills:ETL/ELT: Proficient in building and maintaining ETL/ELT processes using tools such as Apache Airflow, DBT, Talend, or custom scripts in Python, SQL, NoSQL etc
Analytics: Strong understanding of data analytics concepts, with experience in creating data models and working closely with BI/Analytics teams
Automation: Hands-on experience with data automation tools (e
g, Apache Airflow, Prefect) and scripting (Python, Shell, etc) to automate data workflows
Data Architecture: Experience in designing and maintaining data lakes, warehouses, and real-time streaming architectures using technologies like AWS/GCP/Azure, Hadoop, Spark, Kafka, etc
Soft Skills:Excellent problem-solving skills and ability to work independently and as part of a team
Ability to collaborate cross-functionally with analytics, business intelligence, and product teams
Strong communication skills with the ability to translate complex technical concepts for non-technical stakeholders
Attention to detail and commitment to data quality and governance

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