8 bästa jobben som time analyst i stockholm (Rekryterar nu!)

Snowflake. Developer
Cognizant —Stockholm
- Heltid
- Oracle
- Databaser
- Analytisk förmåga
Data Engineer
Truecaller —Stockholm
- Kommunikationsfärdigheter
- Python
- Betald semester
- Föräldraledighet
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Analytics Engineer
Einride —Stockholm
- Heltid
- Python
Data Engineer
Ultra Group AB —Stockholm
- Engelska
- Python
- Betald semester
DataOps Engineer
NOBA BANK GROUP —Stockholm
- Engelska
- Kontor
- Agile
Product Marketing Lead
Pacera —Stockholm
- Kommunikationsfärdigheter
- Marknadsföring
Senior Cloud & Backend Engineer
Framna ApS —Stockholm
- Heltid
- Distansjobb
- Föräldraledighet
2d
Senior Cloud & Backend Architect
Framna ApS —Stockholm
- Heltid
- Distansjobb
- Föräldraledighet
2d

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Data Engineer
Pyyne Digital —Stockholm
Gränsen mellan klassisk data engineering och AI/ML har i princip suddats ut, och vi vill att du ska vara med och bygga plattformarna som gör nästa generations…
Data engineer/Data Warehouse Specialist inom Data Provisioning
Svenska Handelsbanken AB —Stockholm
Vi söker en data engineer / data warehouse specialist som vill arbeta i en utvecklarroll nära verksamheten, där teknik, data och affär möts.
12d

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Snowflake. Developer

Cognizant -
Stockholm

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Jobbinformation

Heltid

Kvalifikationer

Oracle
Databaser
Analytisk förmåga
Makron
Datalager
Python
Shell Scripting

Fullständig jobbeskrivning

What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating a lot of opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world. At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative and successful.
The role
Snowflake Developer is responsible for designing, building, and optimizing data pipelines using Snowflake and IDMC. Build and maintain ETL/ELT workflows and data pipelines using Snowflake and IDMC to process large datasets efficiently. Design data models, create and maintain views, stored procedures, and other database objects in Snowflake, optimize data storage, and ensure scalability in Snowflake. Implement data governance, access controls, and encryption to protect sensitive information.
Key Responsibilities

Analyse business requirements and translate them into technical solutions.
Design, develop, and implement ETL/ELT pipelines to migrate data from Teradata to Snowflake.
Optimize migration processes ensuring data integrity, accuracy, and performance.
Create and manage Snowflake objects (tables, views, schemas, stages, procedures).
Implement partitioning, clustering, and performance tuning strategies.
Implement and manage Snowflake features such as Snowpipe, Streams, Tasks, and Time Travel
Develop and maintain data models, schemas, and stored procedures in Snowflake SQL
Monitor and tune Snowflake performance, including warehouse sizing and query optimization and ensure efficient resource utilization and cost optimization.
Manage external stages, storage integrations, data security, access controls, and role-based permissions in Snowflake
Automate data ingestion from various sources using Snowflake connectors and external stages using different file format, code pages, and any integration with Saas tools (e.g. dbt cloud, Fivetran, Databricks etc).
Rewrite and optimize Teradata SQL scripts, macros, and stored procedures for Snowflake compatibility.
Develop reusable scripts for automation of migration tasks (Python, Shell etc.).
Conduct data reconciliation between Teradata and Snowflake post-migration.
Work closely with data architects, analysts, and business stakeholders to understand requirements.
Document migration processes, best practices, and technical solutions.

Technical Skills

Strong hands-on experience with Snowflake cloud data warehouse.
Knowledge of Snowflake features: Time Travel, Cloning, Micro-partitions, Streams & Tasks.
Hands on experience in Snowflake features like external stages, Snowpipe, storage integration, File Formats, RBAC etc
Strong experience with SQL and various database technologies (Oracle, Teradata SQL Server, PostgreSQL, etc.).
Knowledge of DevOps and CI/CD practices for data pipelines and workflows.
Experience in data engineering or database development, particularly with data migrations.
Experience in different batch processing and data loading/transformation strategies.
Proficiency in scripting for automating regular or repeating task (python, shell scripting etc).
Understanding of Teradata architecture, SQL, and utilities (BTEQ, FastLoad, MultiLoad, TPT).
Experience in analysing and converting Teradata-specific functions to Snowflake equivalents.
Strong problem-solving and analytical skills.
Snowflake SnowPro Certification is a plus
Experience in banking and financial services will be preferred.

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time analyst jobb i stockholm

Snowflake. Developer

Data Engineer

Analytics Engineer

Data Engineer

DataOps Engineer

Product Marketing Lead

Senior Cloud & Backend Engineer

Senior Cloud & Backend Architect

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