SQL Data Engineer - Snowflake Job at MMC Group LP

Snowflake Data Engineer

We are seeking a highly analytical and technically skilled Data Analyst & Engine...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Primary Skillset: Snowflake: 3+ years of deep, hands-on experience with the Snowflake Data Cloud
Advanced SQL and query performance tuning
Data Analysis & Analytics: Proven experience in performing quantitative and qualitative data analysis
Strong ability to translate raw data into actionable business insights
Secondary Skillset: AWS: Solid understanding of core AWS services, particularly: S3
AWS Lambda
Workflow Orchestration: Experience with building and scheduling data pipelines using MWAA (Managed Workflows for Apache Airflow) or a similar tool
Containerization: Familiarity with Docker and Kubernetes (EKS) is a plus
Infrastructure as Code (IaC): Experience with Terraform is highly desirable
Programming: Proficiency in Python for scripting and data manipulation

Job Responsibility

Design, develop, and maintain complex SQL queries, stored procedures, and data models within Snowflake to support analytical requirements
Perform in-depth data analysis to identify trends, patterns, and insights that address key business questions
Ensure data integrity, quality, and accuracy within the Snowflake environment
Support the data engineering team by contributing to the design and maintenance of data pipelines using tools like MWAA, AWS EKS and AWS Lambda
Work within a modern data stack, utilizing Terraform for infrastructure and EKS for containerized applications where necessary

Fulltime

Snowflake Data Engineer

The Snowflake Data Engineer role requires a minimum of 5 years of experience in ...

Location

Romania , Cluj

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

BSc/MSc in Computer Science, Data Engineering, or related field
Snowflake certifications (SnowPro Core, Advanced) highly desirable
Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake
Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms
Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning)
Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent
Strong SQL and Python (or equivalent language) skills for data manipulation and automation
Hands-on experience with cloud platforms (AWS, Azure, GCP)
Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon)
Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop)

Job Responsibility

Client Engagement & Delivery: Collaborate with clients to understand data requirements, contribute to solution delivery, and ensure successful project outcomes
Data Pipeline Development: Design, build, and optimise robust, scalable data pipelines to support analytics, reporting, and operational workloads
Snowflake & Cloud Data Platforms: Develop and maintain data solutions on Snowflake and modern cloud ecosystems, ensuring performance, security, and reliability
Data Architecture & Modelling: Implement high‑quality data models and contribute to architectural decisions that support enterprise‑grade data platforms
Collaboration & Best Practices: Work closely with cross‑functional teams to promote engineering best practices, code quality, and continuous improvement
Quality & Governance: Ensure data accuracy, consistency, and compliance through strong testing, documentation, and governance practices
Partner with architects to translate solution designs into high‑quality engineering deliverables
Collaborate with technical teams to support development, troubleshooting, and end‑to‑end data delivery
Client Stakeholders: Engage with client technical leaders
Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements

What we offer

Smooth integration and a supportive mentor
Pick your working style: choose from Remote, Hybrid or Office work opportunities
Our projects have different working hours to suit your needs
Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms
Private Health Insurance
Individual coaching sessions
Accredited Coaching School
Epic parties or themed events

Fulltime

Senior Data Engineer - Snowflake

We are looking for an experienced Data Engineer to join our data platform team t...

Location

India , Bangalore South

Salary:

Not provided

Wissen

Expiration Date

Until further notice

Requirements

Strong experience with Apache Spark (PySpark / Scala)
Experience with Spark Refiner or similar transformation frameworks
Hands-on expertise with AWS Data Ecosystem, including: S3, Glue, EMR, Lambda, Step Functions, IAM
Experience building large-scale ETL/ELT pipelines
Strong knowledge of Snowflake, including: Snowpipe, Data loading, Performance optimization
Excellent SQL and data modelling skills
Understanding of Data Lake, Lakehouse architectures, and modern data storage formats
Knowledge of data migration strategies and validation techniques

Job Responsibility

Design and implement data pipelines to migrate data from existing Data Lake to Lakehouse architecture
Develop and optimize Spark-based ETL/ELT pipelines using Spark Refiner or similar transformation frameworks
Build scalable data processing workflows using AWS services such as S3, Glue, EMR, Lambda, and Step Functions
Integrate and manage data ingestion into Snowflake for analytics and downstream consumption
Perform data modelling for Lakehouse architecture (Bronze, Silver, Gold layers)
Ensure data quality, governance, and lineage across the migration process
Optimize performance of Spark jobs and Snowflake queries for large-scale datasets
Work closely with data architects, analytics teams, and business stakeholders to ensure reliable data delivery
Implement CI/CD pipelines for data engineering workflows
Support data validation, reconciliation, and testing during migration

Fulltime

Data Engineer – Snowflake

We are looking for a highly skilled Data Engineer with deep expertise in Snowfla...

Location

India , Hyderabad

Salary:

Not provided

Helical IT Solutions Pvt Ltd

Expiration Date

Until further notice

Requirements

Strong, hands-on experience in Snowflake (minimum 2–3 years mandatory)
Snowflake architecture & internals
Snowflake SQL
Snowpipe, Streams, Tasks
Strong experience in SQL (complex queries, optimization, tuning)
Proven experience in building ETL/Data Pipelines
Hands-on experience with Azure Data Factory (ADF)
Solid understanding of Data Warehousing & Data Modeling
BE / B.Tech / MS in Computer Science or related field
3+ years of experience with at least 2+ years in Snowflake

Job Responsibility

Design, build, and optimize high-performance data pipelines in Snowflake
Implement and manage Snowflake architecture (schemas, warehouses, stages, tasks, streams)
Develop advanced SQL-based transformations within Snowflake
Build and orchestrate ETL pipelines using Azure Data Factory (ADF)
Integrate Snowflake with Azure Databricks / PySpark for large-scale data processing
Perform query optimization, cost optimization, and performance tuning in Snowflake
Implement data modeling techniques (Star/Snowflake schema) specifically on Snowflake
Handle data ingestion (batch & incremental loads) into Snowflake
Ensure data quality, governance, and security best practices
Work closely with stakeholders to translate business requirements into data solutions

Fulltime

Data Engineer (Snowflake and DBT)

Wissen Technology is hiring a highly skilled Data Engineer with strong experienc...

Location

India , Bangalore South

Salary:

Not provided

Wissen

Expiration Date

Until further notice

Requirements

6+ years of experience in building data engineering pipelines
Strong hands-on expertise with DBT and advanced SQL
Experience working with modern columnar/MPP data warehouses, preferably Snowflake
Knowledge of Python for data manipulation and workflow automation (preferred)
Good understanding of data modeling concepts, ETL/ELT processes, and best practice

Job Responsibility

Develop, maintain, and optimize data pipelines using DBT and SQL on Snowflake DB
Collaborate with data analysts, QA and business teams to build scalable data models
Implement data transformations, testing, and documentation within the DBT framework
Work on Snowflake for data warehousing tasks, including data ingestion, query optimization, and performance tuning
Use Python (preferred) for automation, scripting, and additional data processing as needed

Fulltime

Senior Data & Analytics Engineer - Snowflake & Power BI

We are looking for a skilled Data Engineer with strong experience in Databricks ...

Location

Romania , Cluj

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Proven experience working as a Data Engineer, Analytics Engineer, or hybrid role
Strong hands-on expertise with Snowflake
Advanced SQL skills with a strong analytical focus
Strong hands-on experience with Power BI (modelling, DAX, Power BI Service)
Experience designing data models specifically for analytics and BI
Ability to work end-to-end across data ingestion, transformation and visualisation
Strong problem-solving skills and attention to data quality
Experience working in cloud data platforms (Azure preferred)
Familiarity with data governance, lineage and documentation concepts
Experience supporting analytics at scale or across multiple teams

Job Responsibility

Design and build scalable Snowflake-based data architectures
Develop and maintain robust data pipelines for ingestion, transformation and aggregation
Write high-quality, performant SQL tailored for analytical workloads
Engineer analytics-ready data models optimised for BI and reporting use cases
Optimise Snowflake performance, cost efficiency and data organisation
Implement data quality checks, monitoring and basic governance controls
Build curated datasets and analytics layers sourced from Snowflake
Design data structures that simplify and accelerate Power BI development
Ensure consistent definitions, metrics and calculations across analytics outputs
Collaborate with stakeholders to translate reporting requirements into data models

What we offer

Smooth integration and a supportive mentor
Pick your working style: choose from Remote, Hybrid or Office work opportunities
Our projects have different working hours to suit your needs
Sponsored certifications, trainings and top e-learning platforms
Private Health Insurance
Individual coaching sessions
Accredited Coaching School
Epic parties or themed events

Fulltime

Data Engineer (Python & Snowflake)

We are looking for an experienced Data Engineer (Python & Snowflake) to design, ...

Location

India , Bangalore South; Mumbai; Pune

Salary:

Not provided

Wissen

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Snowflake architecture, including Snowpipe, Tasks, Streams, and storage vs. compute concepts
High proficiency in SQL/SnowSQL, including complex joins, CTEs, window functions, and query optimization
Strong experience with Python for data processing, automation, and API integrations
Experience with orchestration tools such as Airflow, Prefect, or Dagster
Proficiency with dbt for SQL transformations and data modeling
Strong understanding of AWS cloud services (S3, IAM, Lambda) and integration with Snowflake
Experience using Git and CI/CD pipelines
Strong analytical and problem-solving abilities

Job Responsibility

Design and develop end-to-end ETL/ELT data pipelines to ingest data from APIs, S3, and relational databases into Snowflake
Build and optimize data models (Star/Snowflake schemas) for reporting and analytics use cases
Leverage Python for data transformation, automation, and custom workflow development
Improve Snowflake performance using clustering, partitioning, query optimization, and warehouse tuning
Implement data quality, validation rules, and governance controls (including RBAC)
Collaborate with Data Scientists, Analysts, and cross-functional teams to deliver scalable data solutions
Manage workflow orchestration using tools such as Airflow, Prefect, or Dagster
Implement modular SQL transformations using dbt (data build tool)
Integrate Snowflake with AWS services such as S3, IAM, Lambda, etc.

Fulltime

Data Engineer (Python + Snowflake)

We are looking for an experienced Data Engineer (Python & Snowflake) to design, ...

Location

India , Bangalore South; Mumbai; Pune

Salary:

Not provided

Wissen

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Snowflake architecture, including Snowpipe, Tasks, Streams, and storage vs. compute concepts
High proficiency in SQL/SnowSQL, including complex joins, CTEs, window functions, and query optimization
Strong experience with Python for data processing, automation, and API integrations
Experience with orchestration tools such as Airflow, Prefect, or Dagster
Proficiency with dbt for SQL transformations and data modeling
Strong understanding of AWS cloud services (S3, IAM, Lambda) and integration with Snowflake
Experience using Git and CI/CD pipelines
Strong analytical and problem-solving abilities

Job Responsibility

Design and develop end-to-end ETL/ELT data pipelines to ingest data from APIs, S3, and relational databases into Snowflake
Build and optimize data models (Star/Snowflake schemas) for reporting and analytics use cases
Leverage Python for data transformation, automation, and custom workflow development
Improve Snowflake performance using clustering, partitioning, query optimization, and warehouse tuning
Implement data quality, validation rules, and governance controls (including RBAC)
Collaborate with Data Scientists, Analysts, and cross-functional teams to deliver scalable data solutions
Manage workflow orchestration using tools such as Airflow, Prefect, or Dagster
Implement modular SQL transformations using dbt (data build tool)
Integrate Snowflake with AWS services such as S3, IAM, Lambda, etc.

Fulltime

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SQL Data Engineer - Snowflake

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