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Looking for Data Engineer—-Pittsburgh, PA

Data Engineer

Job Location:-Pittsburgh, PA

Level

Skill

Core Concepts

ExpertDatabricks and Spark Pipeline DevelopmentDatabricks, Apache Spark, Delta Lake, Data Engineering Pipelines, Notebook Orchestration
ExpertPython & PySpark DevelopmentPySpark, Python Libraries, Lambda Functions, Error Handling, Modular Code Design
ProficientAWS Cloud Data IntegrationAWS Glue, Athena, Redshift, S3, Kafka, ElasticSearch, RDS, Lambda
ProficientCI/CD and Source ControlGit, Jenkins, Build Automation, Branching Strategy, Code Reviews
ProficientETL Tools and MethodologiesInformatica, ETL Concepts, Functional Design, Technical Specs, Data Mapping
ProficientDatabase Querying and OptimizationOracle, Redshift, MongoDB, DynamoDB, SQL Optimization, Indexes, UDFs, Views
  • Databricks Minimum of 8-10 years professional IT experience
  • Experience in Databricks, Data/Delta Lake, Oracle, or AWS Redshift type relational databases.
  • Extensive experience in Databricks/Spark-based Data Engineering Pipeline development 8+ years working experience in Python-based data integration and pipeline development.
  • Data lake and Delta Lake experience with AWS Glue and Athena.
  • 5+ years of Experience with AWS Cloud on data integration with Apache Spark, Glue, Kafka, Elastic Search, Lambda, S3, Redshift, RDS, MongoDB/DynamoDB ecosystems.
  • Strong real-life experience in python development especially in pySpark in AWS Cloud environment Design, develop test, deploy, maintain, and improve data integration pipeline.
  • Experience in Python and common python libraries.
  • Lead engineering team to drive the project initiatives and flexible to work on onsite and offshore model with India & China teams.
  • Strong analytical experience with database in writing complex queries, query optimization, debugging, user defined functions, views, indexes etc.
  • Strong experience with source control systems such as Git and Jenkins build and continuous integration tools.
  • Highly self-driven, execution-focused, with a willingness to do “what it takes” to deliver results as you will be expected to rapidly cover a considerable amount of demands on data integration Understanding of development methodology and actual experience writing functional and technical design specifications.
  • Excellent verbal and written communication skills, in person, by telephone, and with large teams.
  • Strong prior technical, development background in either data Services or Engineering Demonstrated experience resolving complex data integration problems.
  • Must be able to work cross-functionally.
  • Above all else, must be equal parts data-driven and results-driven.
  • Scrum and Agile experience and need to participate and run scrum team as tech lead. Require having background of the informatica or any other ETL took experience

Thanks & Regards,

Tejaswini badagouni

Sr. Lead –Talent Acquisition

Metasis Information Systems LLC

Tejaswini.b@Metasisinfo.com

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