PythonTitle:- Senior Data Engineer
Experience: 4-6 yrs
Budget: 24-28 lpa
Location: Bangalore
Work of Mode: Work from office
Primary Skills: Data Bricks, Spark, Pyspark,Sql, Python, AWS
Qualification: Any Engineering degree
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 practices.
Qualifications:
Primary skillset:
∙Experience working with distributed technology tools for developing Batch and Streaming pipelines using
o SQL, Spark, Python, PySpark [4+ years],
o Airflow [3+ years],
o 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon