Thermo Fisher Scientific Logo

Thermo Fisher Scientific

Staff Data Engineer

Posted Yesterday
Be an Early Applicant
Bangalore, Bengaluru, Karnataka
Expert/Leader
Bangalore, Bengaluru, Karnataka
Expert/Leader
Responsible for building data pipelines, collaborating with teams, ensuring data quality, and adhering to agile methodologies in data engineering.
The summary above was generated by AI

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Job Title – Staff Data Engineer

Job Location: Bangalore, India

About Company:

We help our customers accelerate life sciences research, solve complex analytical challenges, improve patient diagnostics, deliver medicines to market and increase laboratory efficiency.

Our team, Automation, AI, and Data (AAD), supports data engineering, analytics, automation, and AI across Thermofisher Scientific.

What will you do?

Strengthen data engineering capabilities by delivering pipelines and solutions via Enterprise Data Platform.

General Job Functions

  • Collaborate with functional analysts to convert the requirements into data engineering pipelines.
  • Collaborate with the scrum master on product backlogs and help with sprint planning.
  • Build, test, and optimize data pipelines for various use-cases, including real-time and batch processing, based on specific requirements.
  • Support the evolution of EDP architecture and take part in roadmap activities around data platform architecture initiatives or changes.
  • Collaborate with leadership and partners to ensure data quality and integrity in DWH & AWS platforms for BI/Analytical reporting.
  • Offer hands-on mentorship and oversight for a group of projects.
  • Identify potential risks in advance and communicate effectively with partners to develop and implement risk mitigation plans.
  • Actively support development activities in data engineering, ensuring bandwidth is available when needed.
  • Implement and follow agile development methodologies to deliver solutions and product features, adhering to DevOps practices.
  • Ensure the teams follow the prescribed development processes and approaches.

Must have skills and experience

  • 10+ years of overall work experience with 7+ years exclusively in delivering data solutions.
  • 5+ years of proven experience building Cloud BI solutions using AWS.
  • Experience with agile development methodologies by following DevOps, Data Ops and Dev Sec Ops practices.
  • 5+ years of programming in SQL, Pyspark and Python.
  • Excellent written, verbal and interpersonal and partner communication skills.
  • Excellent analysis and business requirement documentation skills.
  • Ability to work with multi-functional teams from multiple regions/ time zones by optimally demonstrating multi-form communication (Email, MS Teams for voice and chat, meetings).
  • Excellent prioritization and problem-solving skills.

Good to have skills

  • Hands-on experience with Snowflake or Azure data engineering.
  • Knowledge of SQL and NoSQL databases like PostgreSQL, MySQL, MongoDB, Cassandra.
  • Experience in building data pipelines in Databricks.
  • Data visualization experience using tools such as Power BI or Tableau.
  • Knowledge of data governance practices, data quality, and data security.
  • Relevant certifications in data engineering on cloud platforms.
  • Basic understanding of machine learning and Generative AI concepts.

Top Skills

AWS
Azure
Cassandra
Databricks
MongoDB
MySQL
Postgres
Power BI
Pyspark
Python
Snowflake
SQL
Tableau

Similar Jobs

6 Days Ago
Remote
Hybrid
Bengaluru, Karnataka, IND
Senior level
Senior level
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
The Staff Data Engineer will enhance the Enterprise Data Platform by designing data models, optimizing ETL processes, and collaborating with teams to ensure effective data-driven decision-making.
Top Skills: AirflowAWSBigQueryCloud Data FusionEltEmrETLGCPInformaticaLookerMatillionPower BIPythonRdbmsRdsRedshiftSQLSsisTableauTalend
4 Days Ago
Bangalore, Bengaluru Urban, Karnataka, IND
Senior level
Senior level
Fintech • Information Technology • Payments
The Staff Data Engineer will build and manage data solutions, collaborate with stakeholders, and develop scalable, multi-tenant software components in Visa’s Data as a Service organization.
Top Skills: ArtifactoryBig DataDb2DockerHadoopHiveJavaJenkinsKafkaKubernetesMs SqlMySQLNoSQLPower BIPythonRestScalaSpark
Senior level
Fintech • Information Technology • Payments
The Staff Data Engineer will develop distributed backend platforms, maintain AI service capabilities, analyze requirements, and enhance solutions for Visa's consumers.
Top Skills: AWSFlinkGitGoGoogle Cloud PlatformHadoopJavaJenkinsKafkaMavenAzureMl OpsRedisRustSparkStash

What you need to know about the Kolkata Tech Scene

When considering the industries shaping India's tech scene, gaming might not immediately come to mind. However, in the last decade, increased internet usage and greater access to mobile devices have catapulted the industry to new heights, with Kolkata-based companies like Virtualinfocom, Red Apple Technologies and Digitoonz, at the forefront, driving the design and animation of new gaming titles for players.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account