Data Engineer

TekSalt Solutions; Dadri; On-site; INR 800,000 - 1,200,000; Full time

Job summary

TekSalt Solutions is seeking a Data Engineering Developer in Dadri, Uttar Pradesh. The role focuses on designing, building, and maintaining scalable data pipelines and data platforms, requiring hands-on experience with large datasets and ETL processes.

The ideal candidate should have strong skills in SQL and experience with Data Bricks, cloud platforms like AWS and Azure, and various ETL tools. A collaborative mindset to work with data scientists and analysts is essential for this position.

Qualifications

• Strong experience in SQL and data modeling.
• Proficiency in Python / PySpark and Snowflake.
• Hands-on experience with ETL tools.
• Experience with data warehouses and cloud platforms.

Responsibilities

• Design, develop, and optimize ETL data pipelines.
• Build and maintain data warehouses and data lakes.
• Ensure data quality, reliability, and performance.
• Automate data processing workflows.

Skills

SQL and data modeling

Python / PySpark

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

Data Warehousing (Snowflake, Redshift, BigQuery, Azure Synapse)

Big Data tools (Hadoop, Spark)

Cloud platforms (AWS / Azure / GCP)

REST APIs & data ingestion frameworks

CI/CD pipelines for data workflows

Tools

Data Bricks

Databases (MySQL, PostgreSQL, SQL Server, Oracle)

NoSQL (MongoDB, Cassandra, DynamoDB)

Kafka / streaming platforms

Job description

Overview

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

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

Qualifications

• Strong experience in SQL and data modeling; experience with Data Bricks
• Proficiency in Python / PySpark, Snowflake
• Hands-on experience with ETL tools (Airflow, Informatica, Talend, SSIS, etc.)
• Experience with Data Warehouses: Snowflake, Redshift, BigQuery, 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; real-time data processing; exposure to machine learning data pipelines; working knowledge of data governance & data privacy