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Digital Technology Senior Specialist - Data Operations Engineering

Baker Hughes
NewPosted yesterday

LOCATION

BANGALORE-NEON · Onsite

EXPERIENCE

5+ Years

TYPE

FullTime

SKILLS REQUIRED

SQLData PipelinesData ModelingDatabricksPythonPerformance OptimizationETL Development

Job description

Overview

Design, build and maintain Databricks-based data pipelines and SQL solutions that support business operations and predictive analytics within Baker Hughes' Data Engineering team.

What you'll do

  • Design, develop and maintain Databricks SQL and queries to support business operations and applications.
  • Perform a variety of data loads and data transformations.
  • Build a Databricks-based AI pipeline to ingest, process, and analyze enterprise data for predictive and intelligent outcomes.
  • Ensure the architecture is optimized for performance and minimizes compute and storage costs through efficient workload management.
  • Parse, format, and transform data into units consistent with analytical needs.
  • Implement logical and physical data models that support best practices.
  • Troubleshoot database-related issues and provide timely solutions.
  • Collaborate with application developers to ensure database architecture aligns with project requirements.

What you'll need

  • Bachelor's Degree.
  • A minimum of 5 years of professional experience.
  • 5+ years of hands-on experience in SQL Development and Database management.
  • Proficient in writing and optimizing SQL queries, procedures and functions.
  • Strong understanding of database design principles and normalization.
  • Knowledge of ETL process and data integration tools.

Nice to have

  • Experience with cloud-based database solutions (Databricks, Snowflake).
  • Familiarity with business intelligence tools such as Power BI and Tableau.
  • Exposure to scripting (Pig, Python, Perl, etc.).
  • Experience with an AI-enabled Databricks pipeline with a cost-optimized design for efficient data processing and insights.
  • AI exposure and hands-on AI skills.
  • Ability to translate analytics problems into data requirements.
  • Understanding of logical and physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management, data lineage and data profiling.
  • Awareness of the technology landscape and current technology trends, bringing new ideas to the team.
  • Demonstrated awareness of how to function in a team setting.
  • Ability to distill information down to key points and express it clearly and concisely.
  • Projects knowledge of relevant data.
  • Demonstrated awareness of how to leverage curiosity and creativity to drive business impact.
  • Asks follow-up questions when presented with new data or projects; sees the broader implications of an idea; presents new ideas and concepts; makes connections among previously unrelated ideas.
  • Deep passion for learning.

Details

  • Location: Bangalore, Karnataka, India.
  • Flexible working patterns may be offered; candidates can discuss desired working options when applying.

Read the full description and apply on the company’s own careers page.

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Digital Technology Senior Specialist - Data Operations Engineering