Idexcel Logo

Idexcel

data engineer

Reposted One Month Ago
In-Office
Yonkers, NY, USA
Mid level
In-Office
Yonkers, NY, USA
Mid level
The Data Engineer will manage and develop data warehousing solutions, implement ETL processes, and utilize SQL for data analysis and reporting. Experience in analytics tools and communication is essential.
The summary above was generated by AI
Job Description

Skills Required:

• Bachelor’s Degree in Computer Science, 3+ years related IS experience and 2+ years in BI / data warehousing

• Solid understanding of data warehousing concepts, terminology, and architecture

• Excellent ETL, SQL and database design and development experience

• Experience in implementing ETL / DB / SQL Queries / Star Schema

• Experience using a language like Perl or Python to automate ETL/Data Processes jobs.

• Excellent team player, able to work with virtual teams

• Ability to learn quickly in a dynamic environment

• Excellent Communication Skills

Skills Preferred:

• Database knowledge and how to analyze clickstream/user metrics/events/funnels

• Experience using Analytics platforms like MicroStrategy or Business Objects. Tableau highly preferred

• Experience in Vertica, ParAccel, Netezza, Teradata, Greenplum or any columnar database

• Experience with mobile analytics

Additional Information

Anvesh Reddy

609 269 2719

Idexcel New York, New York, USA Office

New York, United States

Idexcel Parsippany, New Jersey, USA Office

Parsippany, United States

Idexcel Piscataway, New Jersey, USA Office

Piscataway, United States

Similar Jobs

Capital One Logo
Capital One

Data Engineer

Yesterday
Hybrid
New York, NY, USA
179K-246K Annually
Mid level
179K-246K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Build and architect scalable cloud data platforms, pipelines, and applications using Python, Spark, SQL, Databricks, Snowflake, and relational or NoSQL databases. Design secure, resilient, and reusable data engineering solutions; support distributed and streaming workloads; enforce engineering standards; collaborate with product, software, analytics, and data science teams; communicate technical concepts; and mentor other engineers.
Top Skills: AgileAirflowAWSCassandraDagsterData PipelinesDatabricksDynamoDBEmrGlueGCPJavaLakehouse ArchitectureMicroservicesAzureMongoDBMonte CarloNosql DatabasesPythonRedshiftRelational DatabasesScalaSnowflakeSparkSplunkSQLStreaming Data
Capital One Logo
Capital One

Data Engineer

Yesterday
Hybrid
New York, NY, USA
209K-286K Annually
Senior level
209K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Build and architect scalable cloud data solutions, pipelines, platforms, and data products. Lead large-scale data initiatives, make architecture and platform decisions, ensure performance and operational efficiency, and apply modern technologies such as Python, Spark, Databricks, and Snowflake. Collaborate with Agile teams, product managers, software engineers, analysts, and data scientists while mentoring engineers and communicating technical concepts to stakeholders.
Top Skills: AirflowAWSCassandraDagsterData ModelingData PipelinesDatabricksDistributed MicroservicesDynamoDBEmrGlueGCPJavaLakehouse ArchitectureAzureMongoDBMonte CarloNosql DatabasesPythonReal-Time Data PipelinesRedshiftRelational DatabasesScalaSnowflakeSparkSplunkSQLStreaming Data Pipelines
Capital One Logo
Capital One

Data Engineer

Yesterday
Hybrid
New York, NY, USA
197K-246K Annually
Mid level
197K-246K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Design, build, and operate scalable cloud data pipelines, platforms, and applications. Collaborate with developers, analysts, data scientists, product managers, and software engineers on distributed data, lakehouse, streaming, and full-stack solutions. Apply Python, Spark, SQL, Databricks, Snowflake, relational and NoSQL databases, data modeling, security, and observability practices. Establish reusable engineering patterns, ensure resilience and compliance, communicate technical outcomes, and mentor other data professionals.
Top Skills: AgileAirflowAWSCassandraCloud Data WarehousingDagsterData ModelingData ObservabilityData PipelinesDatabricksDistributed DataDynamoDBEmrGlueGCPJavaLakehouse ArchitectureMicroservicesAzureMongoDBMonte CarloNoSQLPythonRedshiftRelational DatabasesScalaSnowflakeSparkSplunkSQLStreaming Data

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account