Job Location: Gurgaon/Gurugram
Data Engineer
Experience
- Bachelors degree from Tier I/II colleges (Post Graduation – Good to have, not mandatory)
- 2-4 years of experience in Data Engineering
Responsibilities
- Requirements gathering, system analysis, design, development/configuration of new data sets/marts.
- Build ETL pipelines in Spark / Python / Scala and standardize data fields across various data sources
- Create data dictionaries, setup/monitor data validation alerts and execute periodic jobs
- Define and build technical/data documentation and experience with code version control systems (e.g. git). Ensure data accuracy, integrity and consistency
Necessary knowledge
- Proficiency in:
- Programming languages: Python, SQL
- Apache Spark, Apache Airflow
- Docker, Bash
- Cloud: Either of below:
- Azure Data Factory
- Google Cloud Dataflow / Data Fusion
- AWS Data Pipeline / Glue
- Stitch / Snowflake
- Data Streaming: Kafka/Kinesis
- Good to have: Tableau/PowerBI Other Visualization tools
- Strong experience in creating large scale data engineering pipelines, data marts and warehouses
- Experience with SQL for extracting, aggregating and processing big data Pipelines using Python
- Good working knowledge of using and developing Data APIs
- Experience with complex, high volume, multi-dimensional data based on unstructured, structured, and streaming datasets
Other Desirable competencies
- Excellent interpersonal skills and the ability to successfully interact with stakeholders from senior management to junior staff
- Proactively solves problems and seeks to own the resolution of issues throughout the lifecycle
- Takes critical feedback in stride, and adjusts approaches accordingly
- Digitally savvy, able to navigate easily in a virtual world
- Team player and not afraid to challenge the status quo
- Good Logical Thinking and Problem-Solving Skills
Note: Preferred immediate joiners or 15-30 days notice
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