Associate II - Data Engineering

2 - 3 Years
2 Openings
Trivandrum

Role Proficiency:

This role requires proficiency in data pipeline development including coding testing and implementing data pipelines for ingesting wrangling transforming and joining data from various sources. Must be adept at using ETL tools such as Informatica Glue Databricks and DataProc along with coding skills in Python PySpark and SQL. Works independently according to work allocation.

Outcomes:

Measures of Outcomes:

Outputs Expected:

Code Development:

Documentation:

Configuration:

Testing:

Domain Relevance:

Defect Management:

Estimation:

Knowledge Management:

Release Management:

Design Understanding:

Certifications:

Skill Examples:

Knowledge Examples:

Knowledge Examples

Additional Comments:

Job Description - Job Description Strong written and verbal communication skills in English. • Ability to work in 24x7 shift schedules, including night shifts for extended periods. • Analytical and problem-solving skills to diagnose and address data-related issues. • Proficiency in writing SQL queries for data extraction and analysis. • Hands-on experience with MS Excel for data analysis. • Ability to work independently under minimal supervision while following SOPs. • Strong attention to detail and ability to manage multiple monitoring tasks effectively. As an L1 Data Ops Analyst, you will be responsible for monitoring data pipelines, dashboards, and databases to ensure smooth operations. You will follow Standard Operating Procedures (SOPs) and runbooks to identify, escalate, and resolve issues with minimal supervision. Strong analytical skills, attention to detail, and the ability to work in a fast-paced, 24x7 environment are critical for this role. Key Responsibilities: • Monitor various dashboards, s, and databases continuously for a 9-hour shift. • Identify and escalate system or data anomalies based on predefined thresholds. • Follow SOPs and runbooks to troubleshoot and resolve basic data issues. • Work closely with L2 and L3 support teams for issue escalation and resolution. • Write and execute basic SQL queries for data validation and troubleshooting. • Analyze and interpret data using MS Excel to identify trends or anomalies. • Maintain detailed logs of incidents, resolutions, and escalations. • Communicate effectively with stakeholders, both verbally and in writing.

Sql,Data Analysis,Ms Excel,Dashboards