Data Engineer - Snowflake DB in Chennai, India - Jobeax
Vacancy description
Data Engineer - Snowflake DB in Chennai, India
HybridMix of office and remote
India, Chennai
Data Engineer - Snowflake DB in Chennai, India is listed on Jobeax. Browse 30,000+ vacancies available.
Role Overview : We are seeking a seasoned Data Engineering professional to spearhead our data architecture initiatives and drive the evolution of our analytical ecosystem. In this role, you will be responsible for designing robust data models and optimizing our Snowflake-based data warehousing environment to support complex business intelligence needs. You will collaborate closely with cross-functional product teams, data scientists, and senior stakeholders to translate intricate business requirements into scalable, high-performance data pipelines. By architecting efficient storage and processing solutions, you will directly influence the speed and accuracy of decision-making across the organization, ensuring our data infrastructure remains a competitive asset in a fast-paced https://jobeax.com/link/CO851KAPNv79RH57 Responsibilities : - Architect and maintain complex data models that serve as the foundation for enterprise-wide reporting and advanced analytics, ensuring high data integrity and performance.- Lead the end-to-end design and implementation of scalable ETL/ELT pipelines within the Snowflake environment to streamline data ingestion from disparate sources.- Optimize Snowflake database performance by managing compute resources, clustering keys, and materialized views to reduce latency for end-users.- Partner with business stakeholders to define data requirements, ensuring that the data warehouse architecture aligns with long-term strategic business objectives.- Mentor junior data engineers and establish best practices for SQL development, code reviews, and version control to maintain high engineering standards across the https://jobeax.com/link/9XbfiWZXvAUTHpWi Skillset : - Demonstrated expertise in designing conceptual, logical, and physical data models for large-scale data warehousing environments.- Advanced proficiency in Snowflake DB architecture, including performance tuning, security configurations, and cost optimization strategies.- Proven ability to write complex, highly optimized SQL queries and stored procedures to handle large-scale data transformations.- Strong experience in building and maintaining robust ETL/ELT workflows using modern data engineering tools and frameworks.- Exceptional communication skills with the ability to articulate technical concepts to non-technical stakeholders and influence project direction.- A collaborative mindset with the ability to thrive in a hybrid work environment across Bangalore, Chennai, Pune, or Mumbai.- A Bachelors or Masters degree in Computer Science, Information Systems, or a related quantitative field is preferred.- Candidates must possess 8 to 12 years of relevant professional experience in data engineering and warehousing roles. (ref:hirist.tech)
Data Engineer: PySpark+AWS Glue 4-8 years in Data Engineering with hands-on expertise in Snowflake, AWS Glue, AWS (S3/Lambda/CloudWatch), Python, PySpark, and SQL. Strong experience in ETL/ELT, Data Warehousing, Data Pipelines, Performance Tuning, and Cloud Data Platforms. Exposure to AI/ML or GenAI solutions is a plus ...
... you an all-around data enthusiast with a knack for ETL We're hiring Data Engineers to help build and optimize the foundational architecture of our product's data. We've built a strong data engineering team to date, but have a lot of work ahead of us, Migrating from relational databases to a streaming and big data architecture, ...
... transformation jobs), and write Python libraries that other engineers across the company consume. You will also administer the data infrastructure we own, such as Snowflake, dbt Cloud, Airflow, and Kafka, with deep ownership of governance, reliability, and cost. Your customers are other engineers, analytics engineers, data scientists, ...
... more public cloud providers such as Azure, AWS or GCP - Experience building foundations for modern analytics/data platforms and cloud data warehouses (e.g., Snowflake, Azure Synapse, Microsoft Fabric) - Experience with data pipeline tooling and patterns (e.g., Azure Data Factory, Snowflake Openflow, Fivetran, dbt, or similar ...
... (SODA, Collibra, or similar) Exposure to cloud platforms (Azure, AWS, or GCP) Experience in a regulated or enterprise-scale data environment Prior experience mentoring or leading a small pod of engineers EXPERIENCE - 8+ years in data engineering, with at least 4+ years focused on Snowflake and modern ELT tooling (dbt)
... leading the system design and implementation of technical solutions. Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems. You have a deep understanding of data modeling and experience with modern data engineering ...
... Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering experience. - Strong SQL Server and T-SQL expertise. - Strong experience working in the Azure environment. - Hands-on experience with Azure Data Factory. ...
... in a modern Snowflake-centred stack, with data quality, testing, and ELT best practices built in from day one. You will also help shape how we use AI within data engineering workflows, from pipeline automation to intelligent data produc Design, build, and scale robust ELT pipelines across ingestion, transformation, modeling, ...
... degree in computer science, Information Technology, Engineering, or a related field. - Bachelor’s/Master’s degree in Computer Science, Information Technology, Engineering, or related field. - 8+ years of experience in Devops and 3+ years in DBX. - Strong hands-on experience in Databricks (Spark, Delta Lake, PySpark, MLflow). ...
... policies, spot-instance strategies, DBU budget alerts, and compute right-sizing recommendations to optimise the platform spend within approved budgets. Partner with Data Scientists, AI Engineers, Data Engineers, and Business stakeholders to productionise models rapidly without sacrificing quality or compliance. Establish and evangelise ...
... Data Engineer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of an exciting, fast paced environment developing Data Engineering ...
... best practices. Monitor and troubleshoot data pipelines for continuous reliability and efficiency improvements . Why Join KANINI? Join KANINI’s award-winning Data Engineering Team, recognized as the "Outstanding Data Engineering Team" at DES 2025 Work on real-world problemsat the intersection of data, AI, and product development ...
... https://jobeax.com/link/fYGlpInxuIv5PeS1 & Skills :- 4 - 7 years in data engineering: SQL, Python, ETL/ELT orchestration.- Cloud data platform experience (Azure preferred): pipelines, storage, APIs.- Strong understanding of data lake and data architecture.- Data modelling for analytics (star schema) and data quality frameworks. (ref:hirist.tech)
... engineering mindset — you build it, you own it, you operate it Nice-to-Have Experience with Kafka, Kinesis, or Event Hubs for event streaming Familiarity with dbt for ELT and data testing Great Expectations or Deequ for data quality Docker / Kubernetes for containerized data services Knowledge of data security patterns: ...
... strong technical background, extensive hands-on experience, and excellent communication skills to collaborate with cross-functional teams. Experience with big data tools: Experience with relational SQL and NoSQL databases, including MongoDB, Postgres and Cassandra, AWS Redshift, Snowflake Experience with data pipeline and ...
... years of professional experience in data engineering, with a focus on data modelling and transformation. Programming: Strong proficiency in SQL and Python for data processing and pipeline development. Data Platforms: Hands-on experience with Snowflake, dbt, and modern cloud data warehouses. Data Modelling: Deep experience ...
... architecture, establish engineering best practices, and mentor other engineers. The role requires strong experience designing, building, and operating large-scale data pipelines and distributed data systems. Our technology stack includes AWS services, Airflow, Snowflake, MS SQL Server, and .NET. We are looking for someone who ...