Staff Data Engineer

4 days ago

Waltham, Massachusetts, United States Tata Consultancy Services Full time
Job Title: Staff Data Engineer - Lead

Location: Waltham, MA

Relevant Experience: 12+ years

Job Summary

We are seeking a highly experienced Staff Data Engineer - Lead to join our Data Engineering team at Tata Consultancy Services. As a key member of our team, you will be responsible for designing and developing highly scalable and extensible data pipelines that enable collection, storage, distribution, modeling, and analysis of large data sets from multiple channels.

Key Responsibilities
  • Lead the Data Engineering Team to Develop, test, document, and support scalable data pipelines.
  • Build out new data integrations, including APIs, to support continuing increases in data volume and complexity.
  • Establish and follow data governance processes and guidelines to ensure data availability, usability, consistency, integrity, and security.
  • Build and implement scalable solutions that align to our data governance standards and architectural roadmaps for data integrations, data storage, reporting, and analytic solutions.
  • Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
  • Design and develop data integrations and a data quality framework. Write unit/integration/functional tests and document work.
  • Design, implement, and automate deployment of our distributed system for collecting and processing streaming events from multiple sources.
  • Perform data analysis needed to troubleshoot data-related issues and aid in the resolution of data issues.
  • Guide and mentor junior engineers on coding best practices and optimization.
Qualifications
  • Education: 4-year college degree or equivalent combination of education and experience. Prefer an academic background in Computer Science, Mathematics, Statistics, or related technical field.
  • 8 years of relevant work experience in analytics, data engineering, business intelligence, or related field.
  • Skilled in object-oriented programming (Python in particular).
  • Strong experience in Snowflake, Matillion, Python, PySpark, and SQL.
  • Strong experience in Databricks & Snowflake.
  • Experience developing integrations across multiple systems and APIs.
  • Experience with or knowledge of Agile software development methodologies.
  • Experience with cloud-based databases, specifically Azure technologies (e.g., Azure data lake, ADF, Azure DevOps, and Azure Functions).
  • Experience using SQL queries as well as writing and perfecting SQL queries in a business environment with large-scale, complex datasets.
  • Experience with data warehouse technologies. Experience creating ETL and/or ELT jobs.
  • Excellent problem-solving and troubleshooting skills.
  • Process-oriented with great documentation skills.
  • Experience designing data schemas and operating SQL/NoSQL database systems is a plus.

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