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Director - Data Engineering

  • Full Time, onsite
  • FSTONE Technologies
  • Hybrid4-5 Days in Month, United States of America
Salary undisclosed

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We have an urgent requirement for Director - Data Engineering for a long-term contract project with one of our clients in New York City, NY.

Role Director - Data Engineering

Duration- 9-12+ Months Contract

Client Location: New York City, NY

Roles and responsibilities:

As Data Director you will be part of a team that leads the design and implementation of data platform to support the strategic data needs & support enterprise reporting needs including datamarts, reporting and business intelligence.

We are looking for Data Platform SMEs who are passionate about resolving the challenges of building robust and scalable data systems aligned to Enterprise Data Strategy.

You will build data capabilities and support a wide range of data flows and use cases to advance the data-driven investment decisioning and deliver transformational programs.

Facilitate the establishment and execution of the roadmap and vision for information delivery and management, including the enterprise data warehouse, big data, BI & analytics, content management and data management

Lead data architects and data engineers to architect and deliver the solutions that fulfill the Business information needs and align with the information vision and strategy.

Provide leadership in building data strategy for analytical platforms for a financial services client.

Required skills

  • Experience with AWS Data & Analytics, Cloud data platforms, data warehouse, data lakes and analytics products
  • Experience with batch job scheduling, leveraging Apache Airflow, AWS EMR (Multi Tenant ), PySpark, YARN, EKS, S3, HDFS, AWS Athena, AWS Glue, Lakeformation, AWS Step Functions, DMS
  • Experience building data tools using spark , performance tuning , AQE, Spark Listener Events,
  • Experience in data architecture and familiarity with ETL tools, data warehousing & big data architecture.
  • Knowledge of cloud-native approaches to build fast, flexible, and cost-effective data applications on any data lake, open-source column oriented DBMS and/or big data OLAP engines for analytical processing (Apache Pinot, Apache Hudi, Iceberg etc.)

If you are looking for a new project, request you to send me your updated profile to abhishek at fstonetechnologies dot com

Regards,

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