Data Engineer

Job Summary We are looking for a

Data Engineering Developer who will be responsible for designing, building, and maintaining scalable data pipelines and data platforms. The ideal candidate should have hands-on experience with large datasets, ETL processes, cloud platforms, and modern data engineering tools.

Key Responsibilities Design, develop, and optimize

ETL data pipelines Build and maintain

data warehouses and data lakes Work with

structured and unstructured data Ensure data quality, reliability, and performance Collaborate with

data scientists, analysts, and product teams Optimize SQL queries and data models Implement data security and governance best practices Monitor and troubleshoot data pipeline failures Automate data processing workflows

Technical Skills Required Skills & Qualifications Strong experience in

SQL and data modeling,

Data Bricks Proficiency in

Python / Py Spark, Snowflake Hands-on experience with

ETL tools (Airflow, Informatica, Talend, SSIS, etc.) Experience with

Data Warehouses : Snowflake, Redshift, Big Query, Azure Synapse Knowledge of

Big Data tools : Hadoop, Spark Experience with

Cloud platforms (AWS / Azure / GCP) Familiarity with

REST APIs & data ingestion frameworks Understanding of

CI/CD pipelines for data workflows

Databases Relational: MySQL, PostgreSQL, SQL Server, Oracle NoSQL: MongoDB, Cassandra, DynamoDB (Good to have)

Good to Have Experience with

Kafka / streaming platforms Knowledge of

dbt Experience with

real-time data processing Exposure to

machine learning data pipelines Working knowledge of

data governance & data privacy Aishwarya Airani, Technical Recruiter

TEKSALT|A Pinch of Us Makes All the Difference [An E-Verified & WOSB Certified Company] Healthcare | Pharma | Manufacturing | Insurance | Financial | Retail Mobile: 91-8861917482 | email: aishwarya.airani@teksalt.com

www.teksalt.com