Design, build, and maintain scalable ETL/ELT data pipelines and data warehouse solutions using Snowflake. Optimize data models and query performance, ensure data quality, integrate multiple sources, implement security and governance, and collaborate with BI and product teams to deliver reliable datasets.
Job Title: Data Engineer
RequirementsRequired Skills & Qualifications
BenefitsPreferred Skills
Experience: 7+ Years
Location: Chennai (On-site)
Employment Type: Full-time
Role OverviewWe are looking for an experienced Data Engineer to build, optimize, and manage scalable data pipelines and architectures. The ideal candidate will have strong expertise in modern data platforms, with hands-on experience in Snowflake and cloud-based data solutions.
- Design, build, and maintain scalable data pipelines and ETL/ELT processes
- Develop and optimize data models and data warehouse solutions
- Work extensively with Snowflake for data storage, transformation, and performance tuning
- Collaborate with BI, analytics, and product teams to deliver clean and reliable datasets
- Ensure data quality, integrity, and governance across systems
- Optimize query performance and cost efficiency in Snowflake
- Integrate data from multiple sources (APIs, databases, third-party systems)
- Implement data security and access controls
RequirementsRequired Skills & Qualifications
- 7+ years of experience in Data Engineering or related roles
- Strong expertise in Snowflake (data modeling, performance tuning, optimization)
- Advanced SQL skills and experience with large-scale data processing
- Hands-on experience with ETL/ELT tools (e.g., Airflow, Informatica, dbt, or similar)
- Experience with cloud platforms such as AWS / Azure / GCP
- Strong understanding of data warehousing concepts (star schema, snowflake schema, etc.)
- Experience with Python or Scala for data processing
- Knowledge of data pipeline orchestration and scheduling
BenefitsPreferred Skills
- Experience with big data technologies (Spark, Hadoop)
- Familiarity with streaming tools (Kafka, Kinesis)
- Experience with CI/CD pipelines and DevOps practices
- Exposure to data governance and data security best practices
- Strong problem-solving and analytical skills
- Ability to work with cross-functional teams
- Good communication and stakeholder management
- High ownership and accountability
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
Designs and operates enterprise data governance infrastructure across Snowflake and AWS. Responsibilities include RBAC, authentication, masking, row-level security, compliance automation, Terraform provisioning, access workflows, monitoring, SOX evidence, data sharing, Iceberg governance, orchestration, cost optimization, and Snowflake AI/ML governance. The role also supports platform reliability, self-service data access, and scalable identity integration using Okta and SCIM.
Top Skills:
AlationAmazon AthenaAmazon EventbridgeApache AirflowApache IcebergSparkAWSAws LambdaCollibraGithub ActionsIamMwaaOktaPythonS3ScimSnowflakeSnowflake CortexSnowpark MlSQLTerraform
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Processes and fulfills transactional, batch, and self-service data requests within service-level agreements. Validates inputs, system setups, data extraction, cleansing, outputs, and reports using Ab Initio on UNIX. Coordinates with customer engagement and sales teams, resolves data concerns and complaints, ensures quality and turnaround targets, follows documented procedures, and identifies process improvements. The role requires SQL and Python expertise, attention to detail, problem-solving ability, and willingness to work US shifts.
Top Skills:
Ab InitioAutosysMS OfficePythonSQLUnix
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Processes and fulfills transactional, batch, and self-service customer requests within service-level agreements. Validates system setups, input data, data extraction, cleansing, and outputs to ensure accurate, timely delivery. Collaborates with customer engagement and Sales teams, resolves data concerns and complaints, maintains documentation, monitors KPIs, and identifies process improvements. Supports migration initiatives using SQL and Python.
Top Skills:
AutosysETLMS OfficePythonSQLUnix
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
