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Senior Big Data Engineer (AWS) Job Opening In Poland, Poland – Now Hiring SoftServe


Job description

WE ARE

SoftServe is a global digital solutions company headquartered in Austin, Texas, founded in 1993.

Our associates work on 2,000+ projects with clients across North America, EMEA, APAC, and LATAM.

We are about people who create bold things, make a difference, have fun, and love their work.

Big Data & Analytics is the Center of Excellence's data consulting and data engineering branch.

Hundreds of data engineers and architects nowadays build data and analytics end-to-end solutions from strategy through technical design and proof of concepts to full-scale implementation.

We have customers in the healthcare, finance, manufacturing, retail, and energy domains.

We hold top-level partnership statuses with all the major cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others.

IF YOU ARE

  • Experienced with 3+ years in Big Data field
  • Specializing in big data engineering with a focus on data pipeline creation
  • Adept at batch and streaming processing
  • Proficient in Python and SQL
  • Versed in developing data solutions on the AWS cloud platform
  • Skilled in utilizing Apache Spark and Databricks
  • Familiar with orchestration tools like Apache Airflow or Managed Apache Airflow (MWAA)
  • Knowledgeable about Apache Kafka, Amazon MSK (Managed Streaming for Apache Kafka), or Kinesis for data streaming
  • AND YOU WANT TO

  • Be part of a team of data-focused engineers dedicated to continuous learning, improvement, and daily knowledge-sharing
  • Work with a cutting-edge technology stack, including services from major cloud providers that are at the forefront of innovation and may not yet be generally available
  • Engage with customers from diverse backgrounds, including large global corporations, to emerging crypto startups preparing to launch their first product
  • Be involved in the entire project lifecycle, from initial design and proof of concepts (PoCs) to minimum viable product (MVP) development and full-scale implementation
  • TOGETHER WE WILL

  • Address different business and technology challenges, engage in impactful projects, use top-notch technologies, and drive multiple initiatives as a part of the Center of Excellence
  • Support your technical and personal growth — we have a dedicated career plan for all roles in our company
  • Investigate new technologies, build internal prototypes, and share knowledge with the SoftServe data community
  • Upskill with full access to Udemy learning courses
  • Pass professional certifications, encouraged and covered by the company
  • Adopt best practices from experts while working in a team of top-notch engineers and architects
  • Collaborate with world-leading companies and attend professional events
  • Required Skill Profession

    Computer Occupations


    • Job Details

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at SoftServe adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying Poland laws and regulations

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    The average salary range for a varies, but the pay scale is rated "Standard" in Poland. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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    Interview Tips for Senior Big Data Engineer (AWS) Job Success

    SoftServe interview tips for Senior Big Data Engineer (AWS)

    Here are some tips to help you prepare for and ace your Senior Big Data Engineer (AWS) job interview:

    Before the Interview:

    Research: Learn about the SoftServe's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

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    Final Thought:

    To prepare for your Senior Big Data Engineer (AWS) interview at SoftServe, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the SoftServe's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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