Senior Data Engineer

dentsu

Mumbai Suburban

On-site

INR 1,800,000 - 3,000,000

Full time

3 days ago
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Job summary

Merkle, located in Mumbai, is seeking a Senior Data Engineer with 5 years of hands-on experience to design and maintain scalable data pipelines using Databricks and SQL. The role emphasizes cloud-native data solutions, data quality, and collaboration with analytics teams.

You will write PySpark and SQL code, monitor pipelines, and contribute to data platform initiatives while documenting architecture decisions and runbooks. This is a full-time role based in Mumbai.

Qualifications

  • 5+ years of professional experience in data engineering or analytics
  • Strong proficiency in Databricks (Spark SQL, PySpark) with pipeline development
  • Solid SQL skills including complex queries and window functions
  • Hands-on Python for data processing and scripting
  • Experience with cloud ETL services (Azure Data Factory, AWS Glue) and data warehousing

Responsibilities

  • Develop and deploy ETL/ELT pipelines using Databricks, PySpark, and SQL
  • Write clean, efficient SQL and Python code for data processing
  • Monitor job executions and troubleshoot data quality issues
  • Collaborate with engineers, data scientists, and analytics teams
  • Document code and runbooks for operational excellence
  • Participate in code reviews and knowledge sharing

Skills

Databricks
PySpark
SQL
Python
Cloud Platforms
Data Modeling
Airflow

Tools

Databricks Studio
SQL Editors
Python scripting

Job description

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.

Key Responsibilities
  • 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

About dentsu For over 120 years, innovation has been a core tenet of our offering – exploring new ways to reach, engage and nurture relationships with audiences. Together we drive a multiplier effect for clients at a global scale, through the development of Integrated Growth Solutions that are underpinned by our promise to clients: innovating to impact. Be a force for good. Sustainability is a vital part of our business and an important area of focus for our clients. We’re leading the way – helping to build a more sustainable planet. Dream loud. In this moment of transformation, we need our people to be fearless, embracing change and ambiguity, driven by the love for their work and excitement for the future. Team without limits. We create opportunities for connection and collaboration between our colleagues and clients, building a sense of belonging and having some fun along the way. Find out more about us Who we are Our Social Impact Our work

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