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Data Infrastructure Architect

2 months ago

Bengaluru, Karnataka, India Talent Divas Consulting Full time

Company Overview

Talent Divas Consulting is a dynamic consulting firm seeking a skilled Data Engineer to join our team. Our company is committed to delivering exceptional solutions that meet the evolving needs of our clients.

Salary: $120,000 - $180,000 per year

Job Description:

We are looking for a highly experienced Data Engineer to design, implement, and maintain our data infrastructure, pipelines, and systems. The ideal candidate will have a strong background in software engineering, database management, and data architecture, with proficiency in relevant technologies and tools.

Responsibilities:

  • Lead the design and implementation of robust data pipelines for efficient extraction, transformation, and loading (ETL) of large datasets from diverse sources.
  • Collaborate with stakeholders to understand business requirements, translating them into scalable data solutions tailored to end-user needs.
  • Enhance and maintain our data architecture, ensuring scalability, reliability, and performance.
  • Investigate and resolve data anomalies within ETL pipelines, ensuring data integrity and accuracy.
  • Develop and maintain documentation for data processes, ensuring clarity and sustainability.
  • Utilize AWS platform capabilities to architect and operate scalable production solutions.
  • Implement data security practices and compliance measures to protect sensitive information.
  • Build and manage data warehouses and data lakes to store and organize large datasets.
  • Implement data quality checks and procedures to ensure data accuracy and consistency.
  • Automate data workflows and processes using scripting languages and data pipeline orchestration tools.
  • Collaborate with business analysts, onboarding teams, and business stakeholders to understand data needs and translate them into technical solutions.
  • Monitor and troubleshoot data pipelines, identify bottlenecks, and optimize performance of data infrastructure to ensure scalability and efficiency.
  • Troubleshoot issues with production data and/or inconsistencies and propose sustainable solutions to address them
  • Document data pipelines and processes for maintainability and knowledge sharing.
  • Stay updated with emerging technologies and best practices in data engineering, and propose innovative solutions.
  • Document system architectures, processes, and procedures for knowledge sharing and future reference.
  • Provide technical guidance and support to junior team members, and contribute to their professional development

Required Skills and Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
  • A minimum of 5 years of experience as a Data Engineer or similar role.
  • Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
  • Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
  • Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
  • Experience with data ingestion tools (e.g., Fivetran, Stitch, Kafka).
  • Programming experience in Python, Java, or similar languages.
  • Experience with scripting languages (e.g., Bash, Shell).
  • Experience with data workflow management tools (e.g., Airflow, Luigi).
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Ability to work independently and as part of a team.