Accelerate your career.

Explore opportunities across TA's portfolio

Senior Software Engineer - Data Engineer

Accion Labs

Accion Labs

Software Engineering, Data Science
India
Posted on Thursday, January 26, 2023

Date: Jun 21, 2023

Location: India

Company: ACCION LABS INDIA PRIVATE LIMITED

About Us

We are a team of Engineers, Designers, Thinkers, Product Managers, Problem solvers and more. We are bound by our commitment to help teams succeed with our culture of learning & innovation. We seek solutions for tomorrow and build them today. We believe in ‘Driving Outcomes Through Actions’. Treating our employees, the same way we treat our customers is what sets Accion Labs apart from the rest

Job Details

Recommended years of Experience: 6 to 8 Years of experience.

Role Summary

Must Have:
8+ years of experience in data engineering with an emphasis on data analytics and reporting.
2+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), others.
5+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Warehouse, etc
5+ years of experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines.
3+ years of experience with one or more of the following scripting languages: Python, SQL, Kafka and/or other.
Good to have:
2 years of experience in Master Data Management
2 years of experience in Data Matching (manual as well as Machine)
1+ years of experience in DevOps/DataOps/MLOps on AWS
1+ years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc.
Exposure to Machine Learning models in NLP and pattern recognition

Skillset

Must Have:
8+ years of experience in data engineering with an emphasis on data analytics and reporting.
2+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), others.
5+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Warehouse, etc
5+ years of experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines.
3+ years of experience with one or more of the following scripting languages: Python, SQL, Kafka and/or other.
Good to have:
2 years of experience in Master Data Management
2 years of experience in Data Matching (manual as well as Machine)
1+ years of experience in DevOps/DataOps/MLOps on AWS
1+ years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc.
Exposure to Machine Learning models in NLP and pattern recognition

Job Responsibilities

Must Have:
8+ years of experience in data engineering with an emphasis on data analytics and reporting.
2+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), others.
5+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Warehouse, etc
5+ years of experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines.
3+ years of experience with one or more of the following scripting languages: Python, SQL, Kafka and/or other.
Good to have:
2 years of experience in Master Data Management
2 years of experience in Data Matching (manual as well as Machine)
1+ years of experience in DevOps/DataOps/MLOps on AWS
1+ years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc.
Exposure to Machine Learning models in NLP and pattern recognition

Qualifications

Competencies

Analytical Thinking & Decision Making
Business Acumen
Change & Innovation
Collaboration
Customer Centricity
Outcome Focused
Technical Feedback