Senior Data Analyst.

Marlabs, Inc
Marlabs, Inc

Job Overview

Marlabs is an award-winning provider of innovative Information Technology and Knowledge Process Outsourcing services. Marlabs was founded in 1996 with headquarters in Piscataway, New Jersey (USA). The company follows a unique multishore model utilizing Global Technology Centers of Excellence. With a dedicated human capital of over 2100 and a network of delivery centers in USA, Canada, Mexico and India, Marlabs has assisted hundreds of customers across different verticals in achieving success through business and operational excellence. We do have the following position in our client in NYC if you are looking out for a new projects and comfortable to work on the below, please do send me your updated resume along with your rate expectation Location New York City, NY The Senior Data Analyst is responsible for building and deploying Enterprise Data Management applications, including Data Quality framework, master data management and meta-data management. As a Senior Data Analyst, you will lead collaboration with enterprise data management teams, product teams, data analysts and data engineers to design and build data-forward solutions using ETL tools, SQL and NoSQL databases, and Cloud technologies. This involves rapid innovation in the design and development of data pipelines, data-marts and graph database to ensure delivering enterprise data management solutions in a timely manner. We are looking for someone with strong hands on coding and design experience in all layers of the full stack involving data. The Senior Data Analyst plays a significant role in Agile planning, providing advice and guidance, and monitoring emerging technologies Minimum Qualifications Advanced degree in relevant field of study strongly desirable, particularly in computer science or data science programs. 5+ years professional experience working with data extractmanipulation logic. 5+ years professional experience with data design and SQL databases. 7+ years professional experience with Development, RD or Information Technology. 3+ years working with a public cloud big data ecosystem (certification in AWS a plus). 2+ years working with graph database design and implementation (experience with Neo4j a plus). 2+ years professional experience with APIs and dashboard reporting. Technical Skills Experience with deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis. Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques. Experience loading and querying both on premise and cloud-hosted databases such as Teradata and Redshift. Experience designing, querying and developing graph databases such as Neo4j. Building streaming data pipelines using Kafka, Spark, or Flink. Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift. Experience deploying data notebook and analytic environments such as Jupyter and Databricks. Knowledge of the Python data ecosystem using pandas and numpy. Knowledge of data modeling, data access, and data storage techniques. Appreciation of agile software processes, data-driven development, reliability, and responsible experimentation. Familiar with metadata management, data catalog, data lineage, and principles of data governance. Strong and thorough knowledge of the following ETLELT Tools BI tools Data CatalogMDM Reference Data RDBMS, NoSQL and NewSQL MS Office Suite Good exp.working with Graph database. Thanks, RajiSenior Data Analyst. 1

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