Ahmedabad Gujarat Company data analyst Jobs – 76 Open Jobs Today

Senior Data Engineer (Snowflake / Databricks)
Inferenz —Ahmedabad, Gujarat
- Azure
- Computer Science
- Master's degree
- Health insurance
Assistant Manager, Global Procurement Solutions
Kraft Heinz Company —Ahmedabad, Gujarat
- Microsoft Office
- Analysis skills
- Bachelor's degree
Senior Business Analyst - Presales
Simform —Ahmedabad, Gujarat
- Full-time
- Azure
- Computer Science
- AWS
Process Associate
Silent Infotech —Ahmedabad, Gujarat
- ERP systems
- Finance
- Master's degree
1985212-Lead Assistant Manager
EXL Service —Ahmedabad, Gujarat
- Full-time
- CRM software
- Computer Science
- Salesforce
Marketing Executive / Sr. Marketing Executive
Simform —Ahmedabad, Gujarat
- Full-time
- Remote
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Product Managers – AI
Asite —Ahmedabad, Gujarat
- Full-time
- Azure
- AWS
- Analysis skills
Technical Product Manager, Email Deliverability & Infrastructure at Saleshandy
Ikigai Infotech LLP (Saleshandy) —Ahmedabad, Gujarat
- ₹8,00,000 - ₹20,00,000 a year
- Full-time
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Quick apply
Python Full Stack Senior Developer
Invixium —Ahmedabad, Gujarat
- Full-time
- Software troubleshooting
- Engineering
- Windows
- Health insurance
Manager
EXL Service —Ahmedabad, Gujarat
- Full-time
- Computer Science
- Salesforce
- Master's degree
Technical Writer
Asite —Ahmedabad, Gujarat
- Full-time
- Writing skills
- Product management
- APIs
Odoo Developer
Caret IT Solutions —Gandhinagar, Gujarat
- Weekend availability
- Analysis skills
- JavaScript
- Travel
Product Marketing Executive
Asite —Ahmedabad, Gujarat
- Full-time
- Product management
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Manager, Global Procurement Solutions
Kraft Heinz Company —Ahmedabad, Gujarat
Lead supplier evaluation, selection, and onboarding based on defined criteria and category strategy. This role requires strong commercial acumen, deep expertise…
Assistant Manager, Global Procurement Solutions
Kraft Heinz Company —Ahmedabad, Gujarat
We are looking for someone who should be open to working in any shift as per the business requirement. In this role, you will co-ordinate across various zones…

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Senior Data Engineer (Snowflake / Databricks)

Inferenz
Ahmedabad, Gujarat

Apply Now

Job details

Benefits

Health insurance

Qualifications

CI/CD
Power BI
Data modelling
Azure
Computer Science
Spark
Git
Tableau
Master's degree
SQL
AWS
Analysis skills
Bachelor's degree
Terraform
Continuous integration
Apache
Kafka
AI
Communication skills
Data warehouse
Python
Analytics
Information Technology

Full job description

Ahmedabad, Pune

5+ years

We are looking for a highly skilled Senior Data Engineer with strong experience in modern data engineering and cloud data platforms. The ideal candidate will have hands-on experience with Snowflake or Databricks, along with a strong understanding of data engineering, ETL/ELT processes, data modelling, data warehousing, and cloud platforms.
Hands-on experience with at least one of Snowflake or Databricks is mandatory, while working knowledge of the other platform is good to have. The candidate will be responsible for designing, developing, optimizing, and maintaining scalable data pipelines and data solutions.
The role will involve working closely with data engineers, data scientists, analysts, and business teams to deliver reliable and high-quality data solutions.

Key Responsibilities:

Data Architecture & Development: Design, develop, and optimize scalable, secure, and high-performance data solutions using Snowflake and/or Databricks.
ETL/ELT Pipeline Engineering: Build and maintain robust data pipelines with appropriate orchestration, monitoring, retries, logging, and error handling.
Data Modelling & Transformation: Develop scalable data models and transformations following data warehousing and lakehouse best practices.
Snowflake / Databricks Development: Develop and maintain data solutions using Snowflake or Databricks and optimize data processing and query performance.
Advanced Data Engineering & Optimization: Develop and optimize complex SQL and PySpark transformations for large-scale batch and incremental processing. Implement CDC, merge/upsert patterns, partitioning, and schema evolution while performing hands-on tuning of Snowflake queries, Spark jobs, and Delta Lake workloads. Build pipeline observability through execution logging, source-to-target reconciliation, data completeness checks, error diagnostics, and automated failure handling.
Data Quality: Implement data validation, automated testing, monitoring, and quality frameworks to ensure data integrity and reliability.
Performance Optimization: Monitor pipeline and job performance, troubleshoot issues, and optimize queries and data processing workloads.
Cloud Data Engineering: Develop and manage data pipelines and solutions on AWS, Azure, or GCP.
Collaboration: Work with data analysts, data scientists, and business stakeholders to translate requirements into technical specifications and deliverables.
Technical Contribution: Participate in code reviews, technical discussions, design reviews, and establish data engineering best practices.
Innovation & Research: Stay updated on advancements in Snowflake, Databricks, cloud data platforms, AI/ML, and modern data engineering practices.

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
5+ years of experience in data engineering, with hands-on experience in at least one of Snowflake or Databricks.
Strong understanding of:
- Data modelling
- Data warehousing
- ETL/ELT processes
- Data Lake / Lakehouse architectures
- Data quality and validation
Snowflake: Hands-on experience with data modelling, query/performance optimization, access control, streams, tasks, external tables, or equivalent capabilities.
Databricks: Hands-on experience with data engineering, Spark, Delta Lake/Lakehouse concepts, and data pipeline development.
Snowflake or Databricks – one must be hands-on; knowledge of the other is good to have.
Proficiency in SQL and Python. Spark experience is expected for candidates with Databricks exposure.
Experience building data pipelines on cloud platforms such as AWS, Azure, or GCP.
Experience with orchestration tools such as Apache Airflow, Azure Data Factory, AWS Glue, or equivalent.
Familiarity with dbt and modern ELT practices is good to have.
Familiarity with Git and CI/CD practices.
Strong analytical, problem-solving, and communication skills.
Ability to work independently as well as collaboratively in a team environment.

Preferred Skills:

Hands-on experience with both Snowflake and Databricks.
Experience with Apache Airflow and dbt.
Experience with streaming data pipelines such as Kafka, Kinesis, or Pub/Sub.
Exposure to Generative AI, ML, or advanced analytics solutions.
Familiarity with BI/analytics tools such as Power BI, Tableau, or Looker.
Knowledge of data governance, security, and compliance best practices.
Familiarity with Terraform or other infrastructure-as-code tools.
Exposure to multiple cloud platforms such as AWS, Azure, or GCP.

Perks

Flexible Timings
5 Days Working
Healthy Environment
Celebration
Learn and Grow
Build the Community
Medical Insurance Benefit

Learn and Grow

Work on real Data and AI problems.
Build skills that matter.
Grow every year.

Flexible Work Culture

Five-day work week.
Flexible timings.
Healthy, people-first environment.

Strong Teams and Community

Collaborative teams.
Open culture.
Celebrations that bring people together.

Stability and Care

Medical insurance.
Long-term growth.
A company that genuinely cares.

Apply Now

Refine Your Search

company data analyst jobs in ahmedabad gujarat

Senior Data Engineer (Snowflake / Databricks)

Assistant Manager, Global Procurement Solutions

Senior Business Analyst - Presales

Process Associate

1985212-Lead Assistant Manager

Marketing Executive / Sr. Marketing Executive

Product Managers – AI

Technical Product Manager, Email Deliverability & Infrastructure at Saleshandy

Python Full Stack Senior Developer

Manager

Technical Writer

Odoo Developer

Product Marketing Executive