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Associate Lead - Data Engineering

0 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Description

Data Engineer Responsibilities :

  • Deliver end-to-end data and analytics capabilities, including data ingest, data transformation, data science, and data visualization in collaboration with Data and Analytics stakeholder groups
  • Design and deploy databases and data pipelines to support analytics projects
  • Develop scalable and fault-tolerant workflows
  • Clearly document issues, solutions, findings and recommendations to be shared internally & externally
  • Learn and apply tools and technologies proficiently, including:
    • Languages: Python, PySpark, ANSI SQL, Python ML libraries
    • Frameworks/Platform: Spark, Snowflake, Airflow, Hadoop , Kafka
    • Cloud Computing: AWS
    • Tools/Products: PyCharm, Jupyter, Tableau, PowerBI
  • Performance optimization for queries and dashboards
  • Develop and deliver clear, compelling briefings to internal and external stakeholders on findings, recommendations, and solutions
  • Analyze client data & systems to determine whether requirements can be met
  • Test and validate data pipelines, transformations, datasets, reports, and dashboards built by team
  • Develop and communicate solutions architectures and present solutions to both business and technical stakeholders
  • Provide end user support to other data engineers and analysts

Candidate Requirements

  • Expert experience in the following[Should have/Good to have]:
    • SQL, Python, PySpark, Python ML libraries. Other programming languages (R, Scala, SAS, Java, etc.) are a plus
    • Data and analytics technologies including SQL/NoSQL/Graph databases, ETL, and BI
    • Knowledge of CI/CD and related tools such as Gitlab, AWS CodeCommit etc.
    • AWS services including EMR, Glue, Athena, Batch, Lambda CloudWatch, DynamoDB, EC2, CloudFormation, IAM and EDS
    • Exposure to Snowflake and Airflow.
  • Solid scripting skills (e.g., bash/shell scripts, Python)
  • Proven work experience in the following:
    • Data streaming technologies
    • Big Data technologies including, Hadoop, Spark, Hive, Teradata, etc.
    • Linux command-line operations
    • Networking knowledge (OSI network layers, TCP/IP, virtualization)
  • Candidate should be able to lead the team, communicate with business, gather and interpret business requirements
  • Experience with agile delivery methodologies using Jira or similar tools
  • Experience working with remote teams
  • AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus
  • Bachelor Degree in Computer Science relevant field, Masters Degree is a plus

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Envestnet
Envestnet

Financial Services

Berwyn Pennsylvania

1001-5000 Employees

45 Jobs

    Key People

  • Bill Crager

    CEO
  • Tony Leal

    President

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