Company Name:-
Autodesk

Job Location:-
Bengaluru, Karnataka

Job Summary:-
Job Requisition ID #
21WD48366
Position Overview
Autodesk is seeking an experienced Data Engineer to join our growing Marketing Data Analytics team within the Analytics Insights and Measurements (AIM) group.

This team is at the heart of Autodesk’s efforts to help marketers and sales teams plan, focus, optimize and measure the process of customer engagements, wins, and renewals.

As a Data Engineer on this team, you will be part of the core group developers that design, create, and fine-tune all the data ingestion, integration, implementation, quality assurance, and maintenance of our data pipelines as well as dashboard workflows.

Ideally, you will be a self-starter, detail and quality-oriented, and excited about the prospects of having a big impact on improving and managing our marketing-focused data analytics platform at Autodesk!
Responsibilities
Build ETLs and data processing workflows for various projects
Setup reliable data ingestion pipelines for new data sources and integrate them with other data sets
Provide engineering support to investigate, identify and set up new tools and processes for data warehousing, data quality, reporting, business intelligence, data governance, and data cataloguing
Build data quality tracking mechanisms and address inevitable disruptions in data ingestion and processing
Assist in building a comprehensive data catalog and implement data governance strategies, as required by the business
Continue to adapt to changes based on the emergence of new technologies, new competitors, artificial intelligence, and alternative sources of data
Minimum Qualification
Bachelors or master’s degree in Computer Science, Engineering, Statistics, Information Systems or in other quantitative fields
4+ years of experience in data engineering or data warehousing
Intermediate to advanced experience is distributed computing
Intermediate to advanced SQL skills
Excellent programming skills in Python, Java, or Scala.

(Python preferred)
Experience building products in a cloud-based environment, especially AWS and its services like EC2, Lambda, API Gateway, S3, EMR, RDS, CloudWatch etc
Experience working with cloud databases, especially Snowflake, query authoring as well as working familiarity with a variety

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