Data Architect / India / Chennai / 4 Years Experience

Required Skills

Automation Data analysis Prototype Application programming Data Architect HTTP JSON Data quality Business solutions Python

Work Authorization

Citizen

Preferred Employment

Full Time

Employment Type

Direct Hire

education qualification

UG :- - Not Required
PG :- - Not Required

Other Information

No of position :- ( 1 )
Post :- 22nd Jun 2022

JOB DETAIL

Senior Bigdata Engineer or Data Architect Bangalore, Pune, Chennai

•4+ years of experience designing and developing big data processing systems using distributed computing.

•Fluency in Python, Experience in Scala/ Java is a huge plus

•Expert knowledge in optimizing complex SQL queries An affinity for automation

•Experience working with cloud platforms such as AWS ; GCP Familiarity with networking and network application programming, including HTTP/ HTTPS, JSON, and REST APIs

•Experience with at least one object oriented language (ex: Java)

•Strong OO design, data structure, and algorithm design skills

•Strong interest in emerging technologies: Spark, Hadoop, Hive, ElasticSearch, NoSQL

•Experience with data science / modelling (TensorFlow and/ or MXNet)

•Familiarity with API development and design.

•Amazon Web Services (S3, EMR, Athena, Glue, Kinesis, Lambda)

•Google Cloud Platform (GCS, Dataflow, BigQuery)

•Python, R, Spark (PySpark)

•Airflow, Tableau.

•Design, implement and maintain high performance big data infrastructure/ systems, big data processing pipelines scaling to billions of structured and unstructured events daily.

•Design, implement and maintain deep integration with up-stream systems, Monitor performance of the data platform and optimize as needed

•Monitor and provide transparency into data quality across systems (accuracy, consistency, completeness, etc)

•Support product with the overall roadmap and ensure updates to senior leadership are 100% technically correct.

•Data analysis, understanding of business requirements and translation into logical pipelines processes

•Conduct timely and effective research in response to specific requests (e. g. data collection, summarization, analysis, and synthesis of relevant data and information)

•Evaluate and prototype new technologies in the area of data processing

•Think quickly, communicate clearly and work collaboratively with product, data, engineering, QA and operations teams

•High energy level, strong team player and good work ethic

Data Architect