Lead Data Engineer(8+ Years of Exp)

3Pillar Global

Early Applicant

2 days ago
Be among the first 50 applicants

Exp: 7-9 Years

Indi, India(estd)

Job Description

At 3Pillar, our focus is on leveraging cutting-edge technologies that revolutionize industries by enabling data driven decision making. As a Lead, Data Engineering, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries.

Key Responsibilities

Understanding the client requirement and architect robust data platforms on multiple cloud technologies.
Take the lead on creating, defining and driving the data engineering solutions for complex client engagements
Develop ETL/ELT processes to help extract and manipulate data from multiple sources.
Work with the leadership to set the standards for software engineering practices within the data engineering team
Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources.
Monitor data systems performance and implement optimization strategies.
Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
Partner with data scientists and functional leaders in sales, marketing, and product to deploy machine learning models in production.
Choose and use the right analytical libraries, programming languages, and frameworks for each task.
Lead data engineering team.

Minimum Qualifications

Demonstrated expertise with a minimum of 7+ years of experience in data engineering domain
Advanced SQL skills and experience with relational databases and database design.
Experience with data modeling
Experience working with cloud Data Warehouse solutions (e.g., Snowflake, Redshift, BigQuery, Azure Synapse, etc.).
Strong Python skills with hands-on experience on Pandas, NumPy and other data related libraries
Experience with working on large data sets and distributed computing (e.g. Hive/Hadoop/Spark/Presto/MapReduce).
In depth knowledge and understanding of data streaming tools like Apache Kafka, AWS Kinesis.
Proficient in data pipeline and workflow management tools e.g. Airflow, AWS Step functions etc
Experience with data visualization tools like PowerBI, Tableau, AWs Quicksight etc
Experience with the AWS/Azure/GCP data engineering services
Knowledge of AWS services viz., EC2, EMR, S3, Lambda, EBS, IAM, Redshift, RDS, GLUE ETL
OR
Knowledge of Azure services viz., ADF, Databricks, Azure Synapse Analytics, ADLS Gen2, Azure Devops
Good understanding of NoSQL databases like Redis, Cassandra, MongoDB, or Neo4j.
Excellent problem-solving, communication, and organizational skills.
Proven ability to manage a highly skilled data engineering team.