Senior Data Engineer

Job Description:

JOB DESCRIPTIONS

Data Engineering Roles | Databricks & SQL Focus

SENIOR DATA ENGINEER (5 Years Experience)

Position Overview

We are seeking a Data Engineer with 5 years of experience to develop and maintain robust data pipelines and analytics infrastructure. This role focuses on hands-on implementation using Databricks and SQL, contributing to data platform initiatives while continuously growing technical expertise in cloud-native data solutions.

Develop and deploy ETL/ELT pipelines using Databricks, PySpark, and SQL for data ingestion, transformation, and loading

Write clean, efficient SQL and Python code for data processing, validation, and analytics

Support data pipeline maintenance, monitor job executions, and troubleshoot data quality issues within SLA timelines

Collaborate with Senior Engineers, Data Scientists, and Analytics teams to understand requirements and deliver solutions

Implement data validation, error handling, and logging mechanisms to ensure pipeline reliability

Document code, architecture decisions, and runbooks for operational excellence

Participate in code reviews and contribute to knowledge sharing within the engineering team

Required Skills & Experience

5+ years of professional experience in data engineering, ETL development, or data analytics engineering

Strong proficiency in Databricks (Spark SQL, PySpark) with real-world pipeline development experience

Solid SQL skills including query optimization, joins, aggregations, and window functions

Hands-on experience with Python for data processing and scripting

Experience with cloud platforms such as Azure Data Factory, AWS Glue, or similar ETL services

Understanding of data architecture, data modeling, and relational databases

Strong problem-solving skills with attention to data quality and accuracy

Required Certifications (Nice to Have)

Databricks Certified Data Engineer (Associate) OR

Snowflake SnowPro Core Certified OR

AWS Certified Data Engineer (Associate) OR equivalent professional data engineering certification

Preferred Qualifications

Experience with orchestration tools (Apache Airflow, Tidal, Control-M, etc.)

Familiarity with cloud data warehousing (Snowflake, Redshift, BigQuery)

Experience with Git, CI/CD pipelines, and version control

Knowledge of Agile methodologies and experience working in cross-functional teams

Background in data validation frameworks and data quality testing

Location:

DGS India - Mumbai - Thane Ashar IT Park

Brand:

Merkle

Time Type:

Full time

Contract Type:

Consultant