Data Engineer (Databricks Specialist)

Tekskills Inc.; Kolkata District; On-site; INR 1,500,000 - 1,900,000; Full time

Job summary

Tekskills Inc. in Kolkata is seeking a Data Engineer (Databricks Specialist) with 7+ years of experience for immediate joining. You will develop and optimize big data pipelines, design dimensional data models, and deploy scalable solutions in cloud environments.

Candidate should be proficient with Databricks/Spark, SQL, and ETL/ELT tools, with hands-on experience across Azure/AWS/GCP ecosystems. Immediate joiners only.

Qualifications

• Databricks, Spark, PySpark skills for building data pipelines.

Responsibilities

• Develop and optimize big data pipelines using Databricks & Spark.
• Build scalable data solutions in cloud environments.
• Implement dimensional models and optimized schemas.
• Collaborate with cross-functional teams in agile setups.
• Troubleshoot and resolve complex data engineering challenges.

Skills

Databricks

Apache Spark

PySpark

Azure

AWS

GCP

SQL

Dimensional Data Modeling

ETL/ELT Tools

ADF

Informatica

Talend

Data Warehousing

Azure Synapse

Snowflake

BigQuery

Job description

Job Summary

Data Engineer (Databricks Specialist)

Experience: 7+ Years

(Immediate Joiners Preferred)

Must-Have Skills

• Databricks, Apache Spark, PySpark
• Azure (Preferred) / AWS / GCP
• Strong SQL & Dimensional Data Modeling
• ETL/ELT Tools (ADF, Informatica, Talend)
• Data Warehousing (Azure Synapse / Snowflake / BigQuery)

Good-to-Have

• Event Hub / IoT Hub / Streaming Analytics
• Power BI, Azure DevOps, CI/CD
• MLlib & Predictive Analytics

Key Responsibilities

• Develop and optimize big data pipelines using Databricks & Spark.
• Build scalable data solutions in cloud environments.
• Implement dimensional models and optimized schemas.
• Collaborate with cross-functional teams in agile setups.
• Troubleshoot and resolve complex data engineering challenges.

Important Note: This role is strictly for immediate joiners only. Candidates with 30 / 60 / 90 days notice period will not be considered.

Candidate without relevant experience will not be considered.