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Tietoevry

Senior PySpark Developer (Cloudera, Iceberg, Airflow & AWS) - Tieto Tech Consulting (m/f/d)

Tietoevry is hiring a Senior PySpark Developer (Cloudera, Iceberg, Airflow & AWS) - Tieto Tech Consulting (m/f/d) in Bengaluru, India. Level rates it ; you can apply on Tietoevry.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Tools and skills the posting cites include PySpark, Cloudera and Airflow.
  • Level classifies it as a senior role.
  • Level lists 404 other open roles at Tietoevry.
  • The role was posted in the last few days.

AI in this role

Design and build large-scale data pipelines and data lakehouse solutions using PySpark, Airflow, Cloudera, and AWS.

pysparkclouderaairflowawsapache-icebergpythonsqlkafka
data-engineeringetldata-warehousingcloud-computing

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
  • 5+ years of IT experience with5+ years in Data Engineering and Big Data development.
  • Strong hands-on experience with PySpark and Spark-based data processing.
  • Experience developing data pipelines on Cloudera Data Platform (CDP).
  • Strong knowledge of Apache Iceberg table architecture and data lake concepts.
  • Experience designing and managing workflows using Apache Airflow.
  • Experience with SQL and data modeling techniques.
  • Strong understanding of ETL/ELT development and data transformation frameworks.
  • Experience working with large-scale structured and unstructured datasets.
  • Knowledge of Git, CI/CD pipelines, and DevOps practices.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and collaboration skills.

Preferred Qualifications

  • Experience with AWS services including S3, Glue, Lambda, ECS/EKS, EMR, RDS, IAM, and CloudWatch.
  • Experience building cloud-native data lake and Lakehouse solutions.
  • Strong knowledge of data partitioning, performance tuning, and query optimization.
  • Experience with Kafka or event-driven data processing frameworks.
  • Experience with Java or Python application development.
  • Experience implementing data quality, metadata, and data governance solutions.
  • Healthcare, Medicaid, Claims Processing, or Insurance industry experience.
  • Experience working in Agile development environments.
  • AWS Certification and/or Cloudera Certification preferred.
  • Experience supporting large-scale cloud migration and modernization initiatives.

Role Level: Senior Developer / Lead Developer

Experience: 5+ years overall with strong expertise in PySpark, Cloudera CDP, Apache Iceberg, Airflow, and AWS Data Engineering.

At Tieto, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.
Diversity, equity and inclusion | Sustainability | Tieto

Stay alert to recruitment scams:
• Tieto only communicates via @tieto.com email addresses.
• We never ask candidates to pay fees or share financial details during recruitment.
• If you receive a suspicious message claiming to be from Tieto, don't respond — verify it via our official careers site.
• For more information visit Important Advisory Regarding Recruitment Fraud | Tieto Blog

How we rate this

Senior PySpark Developer (Cloudera, Iceberg, Airflow & AWS) - Tieto Tech Consulting (m/f/d) at Tietoevry rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringETLData WarehousingCloud ComputingPySparkClouderaAirflowAWS

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where etl was part of your work. What did you do?
  3. Tell me about a project where data warehousing was part of your work. What did you do?
  4. Tell me about a project where cloud computing was part of your work. What did you do?
  5. Walk me through how you've used PySpark in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Engineering, ETL, Data Warehousing, Cloud Computing, and PySpark. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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