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Fixed Price - Est. Time: 12 months,

Position: Support Engineer

Must Have Technical Skills: Azure Data Factory

Good to have Technical Skills: Knowledge of sql or hive, python, pyspark, hdfs or adls

Preferred Industry Experience: Manufacturing

 Role:

Monitor Batch Pipelines in the Data Analytical Platform and provide workaround to the problems.

Troubleshoot issues, provide workaround, determine root cause, upon failures.

Desired Qualification:

·         0-3 years of DE or batch support experience.

·         Must be willing to work completely in the night shift.

·         Ability to work on a task independently or with minimal supervision.

·         Knowledge of Data Orchestration Tool, preferably ADF.

·         Knowledge of sql or hive, python, pyspark, hdfs or adls.

·         Work location: Remotely.

Nos of Resources required: 1 to 2

Work location: Remote

Qualification: BE, BTech, MBA, MCA Prefer Comp. Sci. background

Experience: 0-3 Years

Mobilization Period in weeks: 1 week

Duration: 6 to 12 months  

Fixed Price - Est. Time: 3 months,

Machine Learning Programmers:

Responsibilities

  • Study and transform data science prototypes
  • Design machine learning systems
  • Research and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experiments
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks
  • Keep abreast of developments in the field

Requirements

  • Proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modeling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Ability to write robust code in Python, Java and R
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Excellent communication skills
  • Ability to work in a team
  • Outstanding analytical and problem-solving skills
  • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus

Experience:

  • 2 to 3 years

Job location:

  • Bangalore/Chennai/ Hyderabad (WFH at the moment)

Duration:

  • 3 months. May get extended.

Joining:

  • immediate
Fixed Price - Est. Time: 12,

We need a proficient PySpark resource with good experience.

Fixed Price - Est. Time: 6 months,

Position: PySpark Developer

Must Have Technical Skills: PySpark

Good to have Technical Skills: Spark, DWH

·         Hand on experience in Pyspark and Numpy, List, Pandas, Graph plotter.

·         Excellent knowledge of Python framework and Airflow/Luigi/Dagster/Apache Beam.

·         Python skills with all sorts of data libraries, visualization libraries,

·         Good SQL knowledge.

·         Ability to perform multiple task in continually changing environment.

·         Exposure on Hive/HBase/Redis.

·         Good knowledge of Data warehousing.

·         Reading from Parquet and other format.

·         Worked on Hive and HBase.

 

Nos of Resources required: 3 to 4

Work location: Remote

Qualification: BTech

Experience: 4 yrs – 5 yrs

Mobilization Period in weeks: 1 week

Duration: 3 to 6 months  

Fixed Price - Est. Time: 12 months,

SAS Analytics Consultant: 

  • Identifies trends, patterns, and critical business insights using SAS
  • Analytical Model Development like-Predictive Modelling /Logistics Regression/ Linear Regression/ Forecasting Modelling/ Time Series Etc.
  • Manage all data for specific modules of analytical projects
  • Contribute to building the analytical construct directed towards solving the business problem
  • Work with the business team to specify analysis tasks to generate insights
  • Design and execute the analysis tasks
  • No of postion-2
  • Role & Responsibilities - Dev and Testing Skills
  • Experience - 3-6 years of experience
  • Location – Delhi NCR
Fixed Price - Est. Time: 1,
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