Senior Data Engineer

4 weeks ago

Bangalore, Karnataka, India Web Idea Solution LLP Full time

Role : Senior Data Engineer.

Experience : 4-6 years.

To be onboarded by : Immediate.

Location : Bangalore.

Type : Onsite/Full-Time.

Responsibilities :

- Design and build reusable components, frameworks and libraries at scale to support analytics products.

- Design and implement product features in collaboration with business and Technology stakeholders.

- Anticipate, identify and solve issues concerning data management to improve data quality.

- Clean, prepare and optimize data at scale for ingestion and consumption.

- Drive the implementation of new data management projects and re-structure of the current data architecture.

- Implement complex automated workflows and routines using workflow scheduling tools.

- Build continuous integration, test-driven development and production deployment frameworks.

- Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards.

- Analyze and profile data for the purpose of designing scalable solutions.


- Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues.

- Mentor and develop other data engineers in adopting best :

Primary skillset :

- Experience working with distributed technology tools for- developing Batch and Streaming- pipelines using. SQL, Spark, Python, PySpark (4+ years), Airflow (3+ years), Scala (2+ years).

- Able to write code which is optimized for performance.

- Experience in Cloud platform, e.g., AWS, GCP, Azure, etc.

- Able to quickly pick up new programming languages, technologies, and frameworks.

- Strong skills building positive relationships across Product and Engineering.

- Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders.

- Experience with creating/ configuring Jenkins pipeline for smooth CI/CD process for Managed Spark jobs, build Docker images, etc.

- Working knowledge of Data warehousing, Data modelling, Governance and Data Architecture.

Good to have :

- Experience working with Data platforms, including EMR, Airflow, Databricks (Data Engineering & Delta Lake components, and Lakehouse Medallion architecture), etc.

- Experience working in Agile and Scrum development process.

- Experience in EMR/ EC2, Databricks etc.

- Experience working with Data warehousing tools, including SQL database, Presto, and Snowflake.

- Experience architecting data product in Streaming, Serverless and Microservices Architecture and platform

(ref:hirist.tech)

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