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Data Engineer

$100k - $135k

Tata Consultancy Services

Senior Engineer

Must Have Skills:

  • Databricks (Notebooks, Delta Lake, Delta Live Tables, Unity Catalog)
  • Python and PySpark
  • Spark SQL and Apache Spark
  • ETL/Data Pipeline Development
  • Big Data technologies: Hadoop, Spark, Kafka, Hive, HDFS, Sqoop
  • Strong SQL querying and data modeling
  • Data ingestion, transformation, cleansing, and validation
  • Cloud platforms (AWS/GCP)
  • Data warehouse and large-scale data processing experience
  • Experience with streaming data using Kafka and Spark Streaming
  • Agile methodologies (Scrum, Kanban, SAFe)

Preferred Skills:

  • Scala / Scala-Spark
  • IBM DataStage, Tibco, or similar ETL tools
  • AWS services: S3, Glue, Lambda, Kinesis/MSK
  • BI Tools: Tableau, Power BI, Spotfire, OAC
  • Databases: Teradata, DB2, BigQuery, Mainframe
  • Git version control
  • Data governance and retention modeling

Roles & Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL solutions.
  • Build and optimize data ingestion frameworks for structured and unstructured data.
  • Implement data quality, validation, standardization, and governance processes.
  • Develop data infrastructure integrating multiple heterogeneous data sources.
  • Support analytics, reporting, machine learning, and business intelligence initiatives.
  • Work with Data Scientists and BI teams to prepare and curate data for analytics.
  • Develop scalable solutions for Big Data processing and streaming workloads.
  • Analyze data and provide actionable insights and recommendations to business stakeholders.
  • Gather requirements from business teams and translate them into technical solutions.
  • Lead and mentor junior data engineers.
  • Collaborate across multiple projects as the Data Engineering SME.
  • Drive adoption of Data Engineering best practices and standards.

Salary Range: $100,000 - $135,000 a year

Location: Atlanta, GA

Vacancy posted 3 days ago
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