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Trainee Databricks Data Engineer Jobs in Alabama

Data Engineer, Senior

Huntsville, AL · On-site

$77.50K - $176K/yr

Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and ... ApacheNiFi,AirFlow, Databricks, Snowflake, Redshift, orBigQuery * Experience with federal ...

R0239155 Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine ... Databricks, Snowflake, Redshift, or BigQuery * Experience with federal information system policies ...

AI / Data Engineer

Huntsville, AL · On-site

$112.80K - $135.50K/yr

The AI Engineer will work closely with functional SMEs, architects, data scientists, product ... Experience with Python, FastAPI, LangChain, LlamaIndex, Azure AI, AWS, Databricks, Snowflake ...

Lead customer engagements to design, build, and optimize Databricks-based architectures for advanced analytics, data engineering, and machine learning workloads. * Develop scalable ETL/ELT pipelines ...

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Trainee Databricks Data Engineer information

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

What are the most commonly searched types of Databricks Data Engineer jobs in Alabama? The most popular types of Databricks Data Engineer jobs in Alabama are:
What are popular job titles related to Trainee Databricks Data Engineer jobs in Alabama? For Trainee Databricks Data Engineer jobs in Alabama, the most frequently searched job titles are:
What cities in Alabama are hiring for Trainee Databricks Data Engineer jobs? Cities in Alabama with the most Trainee Databricks Data Engineer job openings:

Data Engineer (only W2 contract no C2C)

4P Consulting Inc

Birmingham, AL • On-site

$107.30K - $128.90K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Data Engineer - Advanced Metering Infrastructure (AMI) Analytics

The Data Engineer at APC Power Delivery's AMI Analytics team plays a pivotal role in advancing data-driven decision-making and operational efficiency across business units. Working closely with data scientists and within a cloud environment, this role requires expertise in data engineering, cloud technologies, and collaborative problem-solving.

Key Responsibilities:
  • Data Pipeline Development:
    • Assist TO in designing, building, and maintaining scalable data pipelines to ingest, transform, and store large volumes of AMI data from various sources.
    • Collaborate with data scientists to ensure seamless integration of data pipelines with analytical models and AI processes.
  • Data Modeling and Architecture:
    • Develop and implement data models and architectures optimized for AMI data analytics, ensuring efficiency, scalability, and data integrity.
    • Implement best practices for data storage, partitioning, and indexing to optimize performance and facilitate analysis.
  • Cloud Environment Management:
    • Work within cloud environments - Azure to deploy, manage, and optimize data engineering solutions.
    • Collaborate with cloud architects and administrators to ensure security, compliance, and cost-effectiveness of cloud infrastructure.
  • Power BI Visualization and Reporting:
    • Develop and maintain Power BI dashboards and reports to visualize AMI data insights and facilitate data-driven decision-making.
    • Ensure the accuracy, reliability, and usability of visualizations to meet business requirements.
  • Data Cataloging and Documentation:
    • Catalog and document AMI data sources, datasets, and metadata to facilitate data discovery, lineage, and governance.
    • Implement data cataloging best practices to ensure the availability and accessibility of AMI data assets.
  • Collaboration and Support:
    • Collaborate with cross-functional teams to understand data requirements and support analytical initiatives.
    • Provide technical support and troubleshooting for data-related issues, ensuring the reliability and availability of data infrastructure.
    Job Requirements:

    Education/Experience:

    • Bachelor's degree in Computer Science, Information Technology, or related field.
    • 3+ years of experience in data engineering or related roles, preferably in a cloud environment.

    Knowledge, Skills & Abilities:

    • Proficiency in programming languages such as Python, SQL, and Scala.
    • Proficiency with Power BI for data visualization and reporting.
    • Experience with cloud-based data platforms (e.g., Azure Databricks, AWS EMR).
    • Strong understanding of data modeling, ETL processes, and data warehousing concepts.
    • Familiarity with big data technologies

    Behavioral Attributes:

    • Innovative and adaptable, with a passion for continuous learning and improvement.
    • Strong communication and collaboration skills, with the ability to work effectively across teams.
    • Results-oriented and committed to delivering high-quality solutions that meet business needs.
    • Ethical conduct and commitment to safety in all aspects of work.

    We are looking for a motivated and skilled Data Engineer to join our dynamic AMI Analytics team. If you are passionate about leveraging data to drive business insights and innovation, and have expertise in Power BI visualization and data cataloging, we encourage you to apply.