F

Senior Data Engineer- (Big data and Data Pipelines)- Delhi, India

Findem
Full-time
On-site
Bangalore, India
Senior Jobs
What is Findem:


Experience - 5 - 9 years

We are looking for an experienced Big Data Engineer, who will be responsible for building, deploying and managing various data pipelines, data lake and Big data processing solutions using Big data and ETL technologies.

Alongside strong core engineering skills, candidates must be highly proficient in AI-assisted coding. Fluency with AI tools such as Cline, Cursor, or similar is expected as part of a modern engineering workflow. They should be able to use these tools effectively, write good prompts, and guide the AI in a smart and responsible manner to produce high-quality, maintainable code.


Location- Delhi, India
Hybrid- 3 days onsite

Responsibilities

    • Build data pipelines, Big data processing solutions and data lake infrastructure using various Big data and ETL technologies
    • Assemble and process large, complex data sets that meet functional non-functional business requirements ETL from a wide variety of sources like MongoDB, S3, Server-to-Server, Kafka etc., and processing using SQL and big data technologies
    • Build analytical tools to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics Build interactive and ad-hoc query self-serve tools for analytics use cases
    • Build data models and data schema for performance, scalability and functional requirement perspective Build processes supporting data transformation, metadata, dependency and workflow management
    • Research, experiment and prototype new tools/technologies and make them successful

Skill Requirements

    • Must have-Strong in Python/Scala
    • Must be highly proficient in AI-assisted coding. Fluency with AI tools such as Cline, Cursor, or similar is expected as part of a modern engineering workflow. They should be able to use these tools effectively, write good prompts, and guide the AI in a smart and responsible manner to produce high-quality, maintainable code.
    • Must have experience in Big data technologies like Spark, Hadoop, Athena / Presto, Redshift, Kafka etc
    • Experience in various file formats like parquet, JSON, Avro, orc etc
    • Experience in workflow management tools like airflow Experience with batch processing, streaming and message queues
    • Any of visualization tools like Redash, Tableau, Kibana etc
    • Experience in working with structured and unstructured data sets
    • Strong problem solving skills

Good to have

    • Exposure to NoSQL like MongoDB
    • Exposure to Cloud platforms like AWS, GCP, etc
    • Exposure to Microservices architecture
    • Exposure to Machine learning techniques
The role is full-time and comes with full benefits. We are globally headquartered in the San Francisco Bay Area with our India headquarters in Bengaluru.

Equal Opportunity

As an equal opportunity employer, we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, protected veteran status or any other legally-protected characteristic.
Apply now
Share this job
Twitter Facebook Linkedin Email