Senior con

5 days ago

India Emids Technologies Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Key Responsibilities:

- Design and develop robust ETL/ELT pipelines to ingest, transform, and load data into Snowflake and PostgreSQL.

- Optimize and maintain data models, schemas, and queries for performance and scalability.

- Collaborate with data analysts, scientists, and business stakeholders to understand data needs and deliver high-quality solutions.

- Manage and monitor Snowflake environments, including storage, compute resources, and user access.

- Implement best practices for data governance, data quality, and data security.

- Develop and maintain documentation for data pipelines, models, and processes.

- Troubleshoot and resolve data issues in a timely manner.

- Participate in code reviews, architecture discussions, and continuous improvement initiatives.

Required Skills & Qualifications:

- 6+ years of professional experience in Data Engineering or a related field.

- Strong expertise in Snowflake – including data warehousing concepts, performance tuning, SnowSQL, and security controls.

- Deep understanding of PostgreSQL – advanced SQL, indexing, query optimization, and data modelling.

- Proficient in programming/scripting languages such as Python or Scala for data processing.

- Experience with ETL tools (e.g., dbt, Apache Airflow, Talend, Informatica).

- Familiarity with cloud platforms (AWS, GCP, or Azure) and services like S3, GCS, or Blob Storage.

- Knowledge of data lake architectures and data integration best practices.

- Excellent problem-solving and communication skills.

Preferred Qualifications:

- Experience with data cataloguing and lineage tools (e.g., Alation, Collibra).

- Hands-on experience with streaming data (e.g., Kafka, Spark Streaming).

- Familiarity with CI/CD pipelines for data engineering workflows.

- Exposure to DevOps or DataOps practices.

- Certifications in Snowflake, PostgreSQL, or cloud platforms (AWS/GCP/Azure).

Roles and Responsibilities

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